Recent news about Panmnesia's technologies and events
Panmnesia's Remarkable Achievement - Raising $12.5 Million in Seed Funding with a Valuation Exceeding $81.4 Million in the CXL Semiconductor Arena
Panmnesia September 14, 2023

Recently, Panmnesia, a fabless semiconductor company focused on CXL (Compute Express Link) technology, proudly announced its successful completion of a seed funding round amassing $12.5 million (16 Billion KRW). This significant financial feat led to the company’s post-money valuation soaring to an impressive $81.4 million (103.4 Billion KRW). In the context of South Korea’s semiconductor sector, achieving such a hefty valuation in the seed round stage is indeed exceptional. Leading the investment charge was Daekyo Investment, and the round witnessed contributions from a consortium of seven esteemed investment entities including SL Investment, Smilegate Investment, GNTech Venture Capital, Time Works Investment, Yuanta Investment, and Quantum Ventures Korea.

Behind Panmnesia's Evolution
Deeply rooted in academic excellence, Panmnesia was born out of the collaborative efforts of a talented group of Ph.D. graduates from the Korea Advanced Institute of Science and Technology (KAIST). They were guided under the expert mentorship of Professor Myoungsoo Jung. With its foundation firmly set on groundbreaking research and innovation, Panmnesia is committed to offering a comprehensive suite of solutions encompassing CXL semiconductor IP, leading-edge data processing acceleration solutions, and holistic CXL-driven technologies.
CXL Interface: The Next Focus for Semiconductor Companies
CXL is rapidly gaining traction as a transformative interface technology designed to seamlessly connect diverse system devices, including memory expansion units, accelerators, processors, and switches. Its promise lies in the ease it offers in memory capacity augmentation and its prowess in streamlining data processing. One standout feature of CXL, memory pooling, stands as a beacon for data center efficiency, presenting avenues for substantial cost savings in memory-related operations. Given these advantages, tech giants such as Meta, Microsoft, and Google are demonstrating heightened interest in CXL-centric solutions. Aligning with this trend, global semiconductor powerhouses including Intel, AMD, Samsung Electronics, and SK Hynix have laid out their strategic blueprints to introduce CXL-compliant devices. Echoing this widespread enthusiasm, market projections hint at the CXL domain expanding to a robust $20 billion by the year 2030, placing Panmnesia in an enviable position to capitalize on these unfolding opportunities.
Panmnesia: Revolutionizing the CXL Landscape
In the fiercely competitive CXL market, where numerous global semiconductor companies are contending, Panmnesia stands alone as a domestic firm making unparalleled advancements. Panmnesia's efforts came into the limelight when they presented the world's first CXL 2.0-based full-system memory pooling framework at the USENIX ATC conference in Boston last year. Extending its technical lead, the company unveiled a solution this May that accelerates data center-oriented Artificial Intelligence (AI) applications, using CXL 3.0 technology.
In a more recent development, Panmnesia made another world's first at the Flash Memory Summit 2023 in Santa Clara, California. The company disclosed a full system, from devices to operating systems, connected through a multi-level switch architecture supporting CXL 3.0. As the only enterprise that has publicly demonstrated CXL 3.0 hardware and software technologies, Panmnesia has garnered attention from leading global IT firms such as AMD and Meta, affirming its front-runner status in CXL technologies worldwide.
Myoungsoo Jung, CEO of Panmnesia, elaborated, "CXL 3.0 takes a fundamentally different viewpoint from CXL 2.0 in its approach to various processors and memory semiconductor devices to support high scalability. Regrettably, most companies are still only discussing certain features of CXL 1.1 or 2.0." Jung added that Panmnesia has already completed the development of hardware and software to support CXL 3.0, which will be of significant assistance to a diverse range of companies utilizing CXL.
He continued, "The CXL ecosystem has yet to mature fully. Without a comprehensive support framework spanning hardware, software, and the full stack, it's difficult to harness the proper performance capabilities that CXL offers." Jung emphasized Panmnesia's distinct advantage: the company's CXL solution covers everything, including CXL IP, hardware, system solutions to enable these, and software essential for accelerating AI and data processing at the server and data center levels. These solutions are planned to be available to a broader customer base following the completion of state-of-the-art silicon tape-out later this month.
Looking forward, Panmnesia aims to continue leading the CXL industry. The company will further refine its CXL semiconductor technology and develop additional solutions to speed up AI applications and massive parallel data processing through CXL. "Although many companies have shown interest in CXL, products that effectively employ CXL technology are still hard to find," said Jung. "Panmnesia will not stop at technological development; we will play a pivotal role in expanding the CXL ecosystem."
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Panmnesia's ML-driven Prefetching Technology for CXL-SSD Has Been Selected as KAIST Breakthroughs
Panmnesia September 05, 2023

Panmnesia’s machine learning-driven prefetching technology for CXL-SSD has been selected as KAIST Breakthroughs this year.

KAIST Breakthroughs is a webzine that selectively highlights innovative technologies across various engineering disciplines, encompassing electrical engineering, biotechnology, environmental engineering, and industrial engineering. In this year, KAIST Breakthroughs has highlighted 31 technologies, including Panmnesia’s pioneering work.

Panmnesia’s featured technology focuses on enhancing performance of systems that utilize CXL-SSDs. By utilizing the CXL interface, we can use SSD, which is commonly used as a block storage, as a huge memory device. The CXL-SSD harnesses host-side caching advantages while providing tremendous memory capacity. Therefore, it is garnering considerable attention from both industry and academia.

However, systems employing CXL-SSDs may encounter long latency of SSD, when cache miss occurs. Panmnesia has addressed this challenge by developing machine learning-based prefetching techniques capable of predicting future memory access information and reading it prior to the actual request. With an in-depth understanding of CXL-based system hierarchies, Panmnesia has crafted a solution that accurately forecasts future access addresses and determines the optimal prefetching timing.

If you are intrigued by this innovative work, you can access the original article featured in KAIST Breakthroughs through the following link.

Panmnesia on Flash Memory Summit 2023
Panmnesia August 10, 2023

Panmnesia, the global frontrunner in CXL IP (Intellectual Property) advancement, is proud to unveil its groundbreaking, self-developed multi-terabyte, full-system CXL framework. This exciting development was launched during the 2023 Flash Memory Summit, held August 8-10 at the Santa Clara Convention Center, California. The Summit, a major annual event attracting over 3,000 participants, unites leading companies from around the globe, all specializing in memory and storage solutions.

A brief on CXL Interface: The emergence of large-scale applications such as generative AI, Chat-GPT, and recommendation systems has fueled the demand for efficient large-capacity memory technologies and accelerators like GPUs in data centers. Amid this technological shift, the CXL (Compute eXpress Link, CXL) interface technology has gained prominence. CXL allows data centers to drastically expand their memory capacity and enables computing devices such as CPUs and accelerators to utilize this enlarged memory space efficiently, putting it in the industry spotlight.
Panmnesia and CXL Technology: As the pioneer of the world's first CXL interface-based full-system framework, Panmnesia stands at the forefront of CXL IP development. Panmnesia design and supply all necessary CXL IPs to implement CXL solutions for data centers. Panmnesia's portfolio includes CXL Core IP and CXL IP for various CXL devices like CPU, NPU, switch, and device. The CXL Core IP supports all CXL devices to facilitate CXL cache communication (CXL.cache), CXL memory communication (CXL.mem), and CXL I/O communication (, the primary communication protocols of the CXL interface. Additionally, Panmnesia provides CXL IPs tailored to specific hardware automation functions for each CXL device. Clients of Panmnesia can efficiently develop CXL devices by applying the company’s verified CXL IP to existing devices, thereby reducing additional costs and time associated with IP development and validation. "We're excited to introduce our innovative multi- terabyte full-system CXL framework at this year's Flash Memory Summit," says Dr. Myoungsoo Jung, CEO at Panmnesia. "Our commitment to pioneering cutting-edge solutions is demonstrated through our CXL IP, which we believe will significantly enhance memory and storage capabilities within data centers."
At the 2023 Flash Memory Summit, Panmnesia exhibited a multi-terabyte memory pool framework powered by its proprietary CXL IP. Panmnesia also showcased a demonstration video of Meta’s large-scale AI application running within the memory pool framework.
The Panmnesia Solution: Panmnesia showcased its multi-terabyte memory pool at the Flash Memory Summit 2023. This pool, consisting of CXL CPU, CXL Switch, and CXL Memory Expander, sets new benchmarks in performance, scalability, adaptability, and efficiency, distinguishing it from other existing memory expansion solutions. Panmnesia’s cutting-edge multi-terabyte memory pool framework encompasses both CXL hardware IP and corresponding software, ensuring high performance and substantial memory capacity expansion. By leveraging multiple CXL switches and CXL memory expanders, this complete solution can seamlessly integrate with existing data center ecosystems. Panmnesia’s innovative CXL Switch technology enables the memory pool framework to efficiently allocate expanded memory space based on user demand. Additionally, by employing a DIMM pooling method for memory module replacement, memory capacity can be increased without procuring extra memory expanders. This makes Panmnesia's memory pool framework a cost-effective memory expansion solution, balancing memory resource management with data center operational cost efficiency.
Panmnesia’s CXL Demo - A Real-World Application Success: Panmnesia showcased a demonstration video featuring Meta’s recommendation system, a notable large-scale AI application, running on the implemented memory pool framework. This demonstration showed Panmnesia's solution could reduce the execution time of Meta’s recommendation system by 3.32 times compared to the existing RDMA-based memory expansion solutions used in data centers. Looking forward, Panmnesia is committed to continue pushing the boundaries of CXL technology. Panmnesia aim to further improve data center performance and efficiency through ongoing research, development, and implementation of advanced CXL solutions. The CXL IP and multi-terabyte memory pool framework presented by Panmnesia at the Flash Memory Summit 2023 embody a forward-thinking data center solution. It offers system-side benefits along with operational cost efficiency. Uniquely, Panmnesia is the only company to display the comprehensive use of CXL IP technology from the operating systems to real-world applications, giving them a significant edge over other data center solutions.
To view Panmnesia’s CXL memory pool demonstration video again, visit the link below.
Demo - Panmnesia's Authentic, Multi-Terabyte CXL Memory Disaggregation Framework
Panmnesia August 05, 2023

All set to explore the horizon of technological advancement at this year’s Flash Memory Summit (FMS)? Make sure you’ve got Panmnesia on your must-see list!

This year at FMS 23, we’re beyond excited to present our live demo, entitled “Experience Reality, Not Blueprints: Panmnesia’s Authentic, Multi-Terabyte CXL Memory Disaggregation Framework.”

We believe in the power of action over words, which is why we’re bringing you a fully-operational CXL solution. Panmnesia’s groundbreaking CXL system includes all the requisite hardware components, ranging from custom-designed CXL CPUs and switches, to our state-of-the-art DIMM pool devices.

Our robust framework enables multi-terabyte capacity by integrating a myriad of memory devices via multi-tiered CXL switches. We can’t wait to showcase how CXL technology can supercharge real-world applications. As a part of our demo at FMS 23, we’ll demonstrate a deep learning recommendation system operating in harmony with LinuxOS and Panmnesia’s innovative CXL framework. Plus, you can gain deeper insights from the other demo videos we’ll be sharing.

Intrigued by what real innovation looks like? Make sure to visit us at booth #655 during the Flash Memory Summit, and get up close with the future of technology, brought to life by Panmnesia!

Panmnesia will participate in Flash Memory Summit 2023
Panmnesia July 30, 2023

Panmnesia is excited to announce our participation in the Flash Memory Summit (FMS) 2023, taking place in Santa Clara, California, US, from August 8th to August 10th. This premier event is a global platform for industry leaders and innovative thinkers to showcase and discuss the latest advancements in flash memory technology.

At this year’s FMS, Panmnesia will be in the spotlight with our groundbreaking full-system CXL (Compute Express Link) framework. This pioneering infrastructure consists of customized CXL CPUs, switches, and DIMM pools. Our innovation doesn’t stop there, though; we’ve designed the framework to offer multi-terabyte capacity by connecting a plethora of memory devices through multi-level CXL switches.

One of the standout features of our system is the incorporation of DIMM pooling technology. By strategically utilizing this technology, we’ve made it possible to achieve substantial cost reductions, all the while maintaining the system’s high performance and reliability.

Our team will demonstrate exactly how CXL technology can revolutionize real-world applications. Visitors will be treated to a live and captivating demo of recommendation systems running on a real deep learning framework with Linux OS. This example will provide a tangible glimpse into how our technologies can enhance and streamline systems in various sectors, from cloud computing to high-performance computing (HPC) to data centers and beyond.

For everyone interested in learning more about Panmnesia’s innovative technologies, we extend a warm invitation to visit us at booth 655 at the Flash Memory Summit. Our team will be on hand to share insights, answer questions, and explore potential collaborations. We look forward to meeting fellow industry enthusiasts and exploring the future of memory technology together at FMS 2023!

Panmnesia's Invited Presentation at SIGARCH Korea Workshop
Panmnesia July 21, 2023

Panmnesia delivered an invited presentation (title: Breaking Down CXL: Why It’s Crucial and What’s Next) at the SIGARCH Korea Workshop 2023 held in SNU(Seoul National University).

During this presentation, we extensively dissected the ins and outs of Compute Express Link (CXL) technology, highlighting its relevance and the present status of its advancement.

CXL is a potent interconnect standard offering high-speed, low-latency communication between CPUs and diverse accelerators such as FPGAs and GPUs. It allows these devices to share memory space and maintain cache coherence, resulting in swift data access and efficient processing of intricate tasks. Our exploration of CXL began from its genesis, the CXL 1.0 specification, and continued through its successive iterations, including the recently launched CXL 3.0. We emphasized the unique features of each iteration, differences among them, and the advantages of CXL compared to other interconnect standards. Beyond just the technicalities of CXL, we also navigated its real-world impact. We specifically addressed how CXL is deployed in large-scale data centers and its role in fostering innovation in areas like artificial intelligence and machine learning. Overall, this talk served as a platform to share a thorough understanding of CXL technology, from its fundamental principles to its practical applications.

It was truly delightful discussing CXL technology with a number of professors and students who are passionate about computer architecture. Thank you for the invitation!

Panmnesia's Invited Talk at OCP APAC Tech Day
Panmnesia July 04, 2023

Panmnesia had the privilege of leading a talk at the OCP (Open Compute Project) APAC Tech Day, staged at COEX in Seoul.

Our presentation, “Memory Pooling over CXL and Go Beyond with AI,” highlighted the importance and fundamentals of CXL(Compute Express Link), along with its potential to propel large-scale AI applications forward.

Specifically, we first provided a comprehensive overview of CXL technology and examined why it matters. We then explored the different versions of CXL, starting with the original CXL 1.0 specification and its subsequent updates, including the recently released CXL 3.0. We also delved into the real-world implications of this technology, such as artificial intelligence and machine learning.

We’re incredibly grateful to our engaged audience for their interest and to the event organizers for hosting such a successful day. We look forward to participating in future OCP events!

Panmnesia will present at OCP APAC Tech Day
Panmnesia June 25, 2023

Panmnesia will be delivering an invited talk at OCP(Open Compute Project) APAC Tech Day.

Our talk will provide a comprehensive overview of CXL(Compute Express Link) technology, from its foundational principles to its practical applications, such as machine learning.

We cordially invite you to join us at OCP APAC Tech Day on July 4th at COEX, Seoul. If you’re interested in delving into the intricacies of CXL technology and widening your understanding, this event is perfect for you.

Panmnesia's Groundbreaking AI Vector Search System based on CXL 3.0
Panmnesia June 21, 2023

Panmnesia’s groundbreaking AI vector search solution has been highlighted in recent ‘Blocks and Files’ and ‘New Electronics’ articles. The core innovation of our CXL-augmented AI vector search solution is its ability to separate memory from the central processing unit, achieved through the implementation of CXL 3.0.

This strategic decoupling allows for substantial AI search data to be accommodated within the memory pool, potentially reaching a staggering 4 Petabytes per CPU’s root complex. Notably, our CXL-augmented AI vector search solution boosts the rate of query processing by a whopping 111.1 times, outstripping existing strategies, including those employed by Microsoft’s production service.

For an in-depth exploration of the AI vector search solution, please refer to the links below.

Special Seminar on Harnessing the Potential of CXL with Panmnesia
Panmnesia May 24, 2023

Panmnesia had the pleasure of being invited by Professor Byung-Gon Chun, the CEO of FriendliAI at Seoul National University, to present at his seminar. During our presentation, we shed light on two significant applications of the advanced Compute Express Link (CXL) technology.

Firstly, we discussed a combined software-hardware system that enhances search capabilities for approximate nearest neighbors. This solution uses CXL to separate memory from host resources and optimize search performance despite CXL’s distant memory characteristics. It employs innovative strategies and utilizes all available hardware, outperforming current platforms in query latency.

Secondly, we presented a robust system for managing large recommendation datasets. It harnesses CXL to integrate persistent memory and graphics processing units seamlessly, enabling direct memory access without software intervention. With a sophisticated checkpointing technique that updates model parameters and embeddings across training batches, we’ve seen a significant boost in training performance and energy savings.

We’re looking forward to more such opportunities! Keep an eye out for our future endeavors!

Panmnesia's CXL Prefetcher for Next Generation CXL-SSD
Panmnesia May 20, 2023

Panmnesia, Inc., the industry leader in data memory and storage solutions, is thrilled to announce that their cutting-edge SSD technology, Panmnesia’s ExPAND, has been accepted for presentation at the prestigious HotStorage 2023 conference, to be held in Boston this July.

Panmnesia’s ExPAND is a groundbreaking development that integrates Compute Express Link (CXL) with SSDs, allowing for scalable access to large memory. Although this technology currently operates at slower speeds than DRAMs, ExPAND mitigates this by offloading last-level cache (LLC) prefetching from the host CPU to the CXL-SSDs, which dramatically improves performance.

The cornerstone of Panmnesia’s ExPAND is its novel use of a heterogeneous prediction algorithm for prefetching, which ensures data consistency with CXL sub-protocols. The system also allows for detailed examination of prefetch timeliness, paving the way for more accurate latency estimations.

Furthermore, ExPAND’s unique feature lies in its awareness of CXL multi-tiered switching, providing end-to-end latency for each CXL-SSD, as well as precise prefetch timeliness estimations. This breakthrough reduces the reliance on CXL-SSDs and enables most data to access the host cache directly.

Early tests are already showing promise: Panmnesia’s ExPAND has been shown to enhance the performance of graph applications by a staggering 2.8 times, surpassing CXL-SSD pools with a variety of prefetching strategies.

ExPAND’s acceptance into HotStorage 2023 underscores its potential to revolutionize the way we manage and access data. With ExPAND, Panmnesia, Inc. continues to solidify its reputation as a frontrunner in data storage solutions, pushing the boundaries of technology and driving the industry forward.

The full details of ExPAND and its advantages will be presented at HotStorage 2023. Stay tuned for more exciting updates from the conference.

Hearst - Panmnesia's CXL Solution for AI Acceleration
Panmnesia May 11, 2023

Interested in discovering the potential applications of the CXL solution?

We invite you to explore a recent white paper detailing Panmnesia’s CXL innovation, known as Hearst, which significantly enhances AI-driven applications (such as recommendation systems and vector search) through exceptional performance and cost efficiency.

In summary, Hearst’s distinguishing features include 1. port-based routing (PBR) CXL switch for high scalability, 2. near-Data processing for high performance, and 3. DIMM pooling technology for a low cost. We hope you find this information helpful and enjoyable to read.

Revolutionizing Billion-Scale AI-Powered Search Services with CXL Memory Pooling
Panmnesia KAIST April 29, 2023

We are thrilled to announce that Panmnesia’s groundbreaking research has been recognized by the esteemed USENIX ATC’23, boasting a competitive 18% acceptance rate.

Our study explores the acceleration of nearest neighbor search services, handling billion-point datasets through innovative CXL memory pooling and coherence network topology. This approach enables substantial memory requirements for ANNS, such as Microsoft’s search engines (Bing and Outlook) which demand over 40TB for 100B+ vectors, each described by 100 dimensions. Likewise, Alibaba’s e-commerce platforms require TB-scale memory for their 2B+ vectors (128 dimensions).

Join us in Boston this July to learn more about our exciting findings!

AI Acceleration Framework Empowering GPUs to Unleash a Massive Memory Space
Panmnesia April 25, 2023

Get ready for a revolution in AI acceleration with Panmnesia’s CXL-augmented system - making waves in StorageNewsletter!

Our groundbreaking technology empowers GPUs to unleash a massive memory space of up to 4 Petabytes, supercharging the training of colossal machine learning models like recommendation systems and ChatGPT using just a few GPUs!

Embrace substantial cost savings and push the boundaries of AI capabilities for your business! Don’t miss out - explore our trailblazing tech via the following link

New Machine Learning Framework for Large-Scale Data Training with CXL 3.0
Panmnesia April 21, 2023

Panmnesia’s research team has developed an efficient machine learning framework designed for large-scale data training in datacenters, utilizing CXL 3.0 technology. Our recent achievements have been highlighted in Forbes, which can be accessed via the first link below.

To gain a deeper understanding of our CXL 3.0-based training system, we recommend watching our informative video presentation via the second link below. The video demonstrates how CXL can enhance large-scale machine learning acceleration and provides insights for ML and AI system designers to consider when implementing this technology.

We are excited to announce that our team will be showcasing this innovative system at the IPDPS ‘23 conference in Florida this May. We hope to see you there and look forward to discussing our advancements with you in person!

CXL-based Terabytes Memory Expansion Platform
Panmnesia April 04, 2023

Our team has successfully expanded memory by over a dozen terabytes, making it the largest CXL (Compute Express Link) hardware and software solution in the world. It’s designed to work seamlessly with multi-CPUs, CXL switches, and CXL memory expanders, offering a versatile option that can be easily integrated into any tech setup.

We’re excited to share that we’ve successfully validated the system with the latest Linux full stack and have proven its capabilities in large-scale deep learning and machine learning-based recommendation systems. During our demonstration, we were able to assign all embedding features to the remote-side CXL memory expansion without the need for an assistant module. Our software and hardware IPs are seamlessly integrated with TensorFlow, which allows for effective management of training and servicing with ease.

We’re committed to pushing the boundaries of innovation and are eager to showcase the range of state-of-the-art, memory-intensive applications running on our system. We’re also excited to introduce an array of new hardware-architected devices in the pipeline. Stay connected for further updates on our exciting new innovations!

We’re open to exploring collaboration opportunities and would love to work with you. Please don’t hesitate to get in touch with us at [email protected] or [email protected] if you’re interested. Thanks for being a part of our journey!

Interview about CXL and Panmnesia
Panmnesia March 06, 2023

Panmnesia, a KAIST start-up company that focuses on developing cache coherent interconnect (CCI) technologies using Compute Express Link (CXL), has garnered significant attention from the technology industry, particularly in the field of computing and memory. Seoul Finance recently published an article that highlights Panmnesia as the first developer of a real CXL system with both working hardware and software modules. The article includes an interview with Panmnesia’s CEO, who explains the significance of CXL and how it could impact various computing and memory industries.

CXL is a new cache coherent interconnect standard that supports multiple protocols and enables cache coherent communication between CPUs, memory devices, and accelerators. According to Panmnesia’s CEO, CXL is the most important technology in the next-generation memory semiconductor industry. The article explains that as the demand for high-performance and high-capacity memory semiconductor grows, CXL could be a viable solution for memory disaggregation, allowing memory resources to be efficiently and cost-effectively utilized.

The article also discusses the potential impact of CXL on artificial intelligence (AI) acceleration and ChatGPT (Conversational AI based on the GPT model). Panmnesia’s CEO believes that CXL can play a crucial role in AI acceleration by offering large-scale memory subsystems to existing processing silicon and co-processing accelerators such as GPU, DPU, and TPU. This will enable faster data processing and more efficient use of resources.

Panmnesia has already secured a significant number of intellectual property rights related to CXL, including the CXL standard IP, and is currently in talks with various domestic and international institutions for collaboration. Panmnesia aims to become the leading solution provider in the CXL industry and is focused on developing new and innovative CCI technologies to meet the demands of various industries.

Emerging CXL Workshop with Leading Industry Experts and Renowned Academics
Panmnesia KAIST February 16, 2023

We had the privilege of attending a dynamic CXL workshop, where we were invited to share our knowledge and expertise as a leading vendor in CPU and memory technology. The workshop brought together industry experts from renowned companies such as Intel, AMD, Samsung, SK-Hynix, and our own company, Panmnesia. We were thrilled to participate in this high-level discussion, which explored the latest trends and innovations in CXL technology and its impact on the future of large-scale data-centric applications.

As a participant in the workshop, we had the opportunity to give an invited talk and share our insights and perspectives on the direction that data-centric applications should take. We highlighted the importance of cutting-edge research directions such as near-data processing and AI acceleration, and how they can be leveraged to drive innovation and progress in this field.

The discussions throughout the workshop were engaging and thought-provoking, and we were impressed by the wealth of knowledge and expertise shared by the attendees. We gained valuable insights into the latest trends and innovations in CXL technology, which will undoubtedly shape our thinking and approach to data-centric applications in the future.

Overall, we were honored to have been a part of this workshop and grateful for the opportunity to share our knowledge and experience with other industry leaders. We look forward to continued engagement with CXL technology and its impact on the future of large-scale data-centric applications.

Invited Talk for Memory Pooling over CXL at Computer System Society 2023
Panmnesia KAIST February 07, 2023

We are thrilled to share our recent participation in the prestigious Computer System Society 2023 conference, where we had the honor of delivering an invited talk entitled “Memory Pooling over CXL”. Our talk was met with great enthusiasm from attendees, as we presented our history of development and research for CXL and memory expander technology from 2015 to 2023, including some specific use-cases. We also introduced a cutting-edge memory pooling stack and showcased a CXL 3.0 memory expander device reference board that we built from the ground up.

As a leading vendor in CXL and memory technology, we are committed to driving innovation and progress in this field. We are particularly excited about our new memory pooling stack, which we believe has the potential to revolutionize the industry by providing a more efficient and cost-effective way to manage memory resources. Our CXL 3.0 memory expander device reference board is also a testament to our commitment to cutting-edge research and development, as we continue to push the boundaries of what is possible in this field.

In addition to our talk at the Computer System Society 2023 conference, we are also honored to be participating in a closed CXL working symposium later this month, alongside industry leaders such as AMD, Intel, Samsung, and SK-Hynix. We look forward to sharing more technical details about our latest developments and discussing our vision for the future of CXL technology and its impact on data-centric applications.

Overall, our participation in the Computer System Society 2023 conference was a tremendous success, and we are excited to continue to drive innovation and progress in this field. We remain committed to pushing the boundaries of what is possible in CPU and memory technology, and we look forward to sharing more updates and insights in the future.

Our work entitled by failure tolerant training over CXL has been accepted by IEEE Micro 2023
Panmnesia January 08, 2023

We are thrilled to announce the publication of our latest research paper, which proposes a cutting-edge solution called TrainingCXL for efficiently processing large-scale recommendation datasets in the pool of disaggregated memory. The paper, which will soon be available in IEEE Micro Magazine, introduces several innovative techniques that make training fault-tolerant with low overhead.

TrainingCXL integrates persistent memory (PMEM) and GPU into a cache-coherent domain as Type 2, which enables PMEM to be directly placed in GPU’s memory hierarchy, allowing GPU to access PMEM without software intervention. The solution introduces computing and checkpointing logic near the CXL controller, thereby actively managing persistency and training data. Considering PMEM’s vulnerability, TrainingCXL utilizes the unique characteristics of recommendation models and takes the checkpointing overhead off the critical path of their training. Lastly, the solution employs an advanced checkpointing technique that relaxes the updating sequence of model parameters and embeddings across training batches.

The evaluation of TrainingCXL shows that it achieves a remarkable 5.2x training performance improvement and 76% energy savings, compared to modern PMEM-based recommendation systems. These results demonstrate the potential of TrainingCXL to revolutionize the field of large-scale recommendation datasets by providing a more efficient, cost-effective, and fault-tolerant solution.

We are proud to have developed this innovative solution and excited to share it with the community. This research builds on our commitment to pushing the boundaries of what is possible in CPU and memory technology, and we look forward to continued innovation and progress in this field.

Our memory pooling with CXL work has been invited and accepted by IEEE Micro 2023
Panmnesia KAIST January 07, 2023

We are excited to announce the publication of our latest research paper in IEEE Micro Magazine, which proposes a groundbreaking solution for memory disaggregation using Compute Express Link (CXL). CXL has recently garnered significant attention in the industry due to its exceptional hardware heterogeneity management and resource disaggregation capabilities. While there is currently no commercially available product or platform integrating CXL into memory pooling, it is widely expected to revolutionize the way memory resources are practically and efficiently disaggregated.

Our paper introduces the concept of directly accessible memory disaggregation, which establishes a direct connection between a host processor complex and remote memory resources over CXL’s memory protocol (CXL.mem). This innovative approach overcomes the limitations of traditional memory disaggregation techniques, such as high overhead and low efficiency. By utilizing CXL.mem, we achieve a highly efficient, low-latency, and high-bandwidth memory disaggregation solution that has the potential to revolutionize the industry.

The evaluation of our solution demonstrates its remarkable performance, as it achieves a significant reduction in memory access latency and a substantial increase in bandwidth compared to traditional disaggregation techniques. These results demonstrate the potential of directly accessible memory disaggregation over CXL as a game-changing solution for future memory systems.

We are proud to have developed this innovative solution and excited to share it with the community. This research builds on our commitment to pushing the boundaries of what is possible in CPU and memory technology, and we look forward to continued innovation and progress in this field.

Keynote for Process-in-Memory and AI-semiconductor
Panmnesia KAIST December 13, 2022

We were honored to give a keynote address at the Process-in-Memory and AI-Semiconductor Strategic Technology Symposium 2022, hosted by two major ministries in Korea. Our talk, entitled “Why CXL?”, was a deep dive into the unique capabilities and potential of Compute Express Link (CXL) technology, and explored why it is poised to be one of the key technologies in hyper-scale computing.

As a leading vendor in CPU and memory technology, we are committed to driving innovation and progress in this field, and we were thrilled to share our knowledge and experience with the attendees at the symposium. Our keynote address offered several insights into the benefits of CXL, as well as the differences between CXL 1.1, 2.0, and 3.0, providing a comprehensive understanding of this groundbreaking technology.

In contrast to our distinguished lecture at SC’22, which focused on heterogeneous computing over CXL, this keynote honed in on CXL memory expanders and the corresponding infrastructure that most memory/controller vendors are currently missing. We discussed the challenges that vendors face in adopting this technology, and shared our expertise on how to overcome them. Our talk was well-received by attendees, and we were honored to have had the opportunity to share our insights and perspectives on the future of CXL technologies.

As a company, we remain committed to pushing the boundaries of what is possible in CPU and memory technology, and we believe that CXL has the potential to revolutionize the industry. We welcome any inquiries or questions about CXL technology, and we look forward to continued engagement with industry leaders and experts. We are excited to see how this technology will shape the future of hyper-scale computing and data-centric applications, and we are dedicated to driving progress and innovation in this field.

CXL panel meeting with Intel, Microsoft, LBNL, and keynote for SC'22!
Panmnesia KAIST November 21, 2022

We are thrilled to share our recent experience at SC’22, where we had the opportunity to engage with industry leaders and experts in the field of high-performance computing (HPC) and Compute Express Link (CXL) technology. Our participation in the CXL consortium co-chair meeting, which was led by AMD and Intel, was a highlight of the event. The panel meeting, which included representatives from Microsoft, Intel, and LBNL, was also an excellent opportunity to discuss the challenges and opportunities that HPC needs to address in order to adopt CXL technology.

Our distinguished lecture at SC’22 was a great success, where we demonstrated the entire design of the CXL switch and a CXL 3.0 system integrating true composable architecture. We showcased a new opportunity to connect all heterogeneous computing systems and HPC, including multiple AI vendors and data processing accelerators, and integrate them into a single pool. Our presentation also highlighted the capabilities of CXL 3.0 as a rack-scale interconnect technology, including features such as back-invalidation, cache coherence engine, and fabric architecture with CXL.

We are excited about the potential of CXL technology to revolutionize the industry and provide more efficient and effective solutions for HPC. We hope to have the opportunity to share more about our vision and CXL 3.0 prototypes at future events and venues in the near future. As a company, we remain committed to driving innovation and progress in CPU and memory technology, and we look forward to continued engagement with industry leaders and experts in this field.

We will introduce the future of CXL in the Opening Distinguished Lecture session at RESDIS held with SC'22 (Dallas)!
Panmnesia KAIST September 30, 2022

Compute Express Link (CXL) technology has been generating significant attention in recent years, thanks to its exceptional hardware heterogeneity management and resource disaggregation capabilities. While there is currently no commercially available product or platform integrating CXL 2.0/3.0 into memory pooling, it is expected to revolutionize the way memory resources are practically and efficiently disaggregated.

In our upcoming distinguished lecture, we will delve into why existing computing and memory resources require a new interface for cache coherence and explain how CXL can put different types of resources into a disaggregated pool. We will showcase two real system examples, including a CXL 2.0-based end-to-end system that directly connects a host processor complex and remote memory resources over CXL’s memory protocol, and a CXL-integrated storage expansion system prototype.

In addition to these real-world examples, we will also introduce a set of hardware prototypes designed to support the future CXL system (CXL 3.0) as part of our ongoing project. We are excited to share our expertise and insights with attendees, and we hope to inspire others to push the boundaries of what is possible in CPU and memory technology.

Our distinguished lecture will offer a comprehensive understanding of the capabilities and potential of CXL technology, and we are excited to share our vision with the community. We are committed to driving innovation and progress in this field and believe that CXL has the potential to revolutionize the industry. We encourage attendees to join us at the event in Texas, Dallas, this November, and we look forward to engaging with industry leaders and experts in the field. The program for the event will be available soon, so stay tuned for more details!

We are invited by and will demonstrate two CXL platforms at the CXL Forum 2022
Panmnesia KAIST July 22, 2022

We are excited to announce that our team has been invited to demonstrate two hot topics related to CXL memory disaggregation and storage pooling at the CXL Forum 2022, one of the hottest sessions at Flash Memory Summit. This session, led by the CXL Consortium and MemVerge, brings together industry leaders and experts to discuss the latest updates and advancements in CXL technology. We will be joining other leading companies and institutions, including ARM, Lenovo, Kioxia, and the University of Michigan TPP team, among others.

Our sessions will take place on August 2nd at 4:40 PM PT, and we are eager to share our insights and expertise with attendees. In the first session, entitled “CXL-SSD: Expanding PCIe Storage as Working Memory over CXL,” we will argue that CXL is a cost-effective and practical interconnect technology that can bridge PCIe storage’s block semantics to memory-compatible byte semantics. We will discuss the mechanisms that make PCIe storage impractical for use as a memory expander and explore all the CXL device types and their protocol interfaces to determine the best configuration for expanding the host’s CPU memory.

In the second session, we will demonstrate our CXL 2.0 end-to-end system, which includes the CXL network and memory expanders. This system showcases our expertise in CXL technology and provides attendees with a firsthand look at the potential of this groundbreaking technology.

We are honored to have the opportunity to participate in the CXL Forum 2022 and to share our insights and expertise with industry leaders and experts. We encourage attendees to check out the detailed information on the session and how to register via Zoom through the link provided. We look forward to engaging with the community and pushing the boundaries of what is possible in CPU and memory technology.

Our CXL 2.0-based Memory Expander and End-to-End System are introduced by the Next Platform's headline
Panmnesia KAIST July 20, 2022

The Compute Express Link (CXL) protocol has been making waves in the computing industry, with various organizations exploring its potential to create tiered, disaggregated, and composable main memory for systems. While hyperscalers and cloud builders have been the early adopters of this technology, high-performance computing (HPC) centers are also starting to show interest.

The Korea Advanced Institute of Science and Technology (KAIST) has been working on a promising solution called DirectCXL, which enables memory disaggregation and composition using the CXL 2.0 protocol atop the PCI-Express bus and a PCI-Express switching complex. Recently, DirectCXL was showcased in a paper presented at the USENIX Annual Technical Conference and discussed in a brochure and a short video.

This solution promises to revolutionize the field of HPC, offering practical and cost-effective solutions for memory expansion. DirectCXL utilizes the Transparent Page Placement protocol and Chameleon memory tracking to create tiered, disaggregated, and composable main memory for systems, similar to other projects like Meta Platforms’ Transparent Page Placement protocol and Microsoft’s zNUMA memory project.

We are pleased to announce that Panmnesia, Inc has acquired the intellectual property rights for DirectCXL from KAIST. As a company, we are excited to see the progress being made in the field of memory disaggregation and composition, particularly in the HPC space. We believe that CXL has the potential to drive innovation and progress in CPU and memory technology, and we are committed to leveraging this technology to create groundbreaking solutions for our customers.

Stay tuned for more updates and developments as we continue to explore the potential of CXL and DirectCXL.

Our CXL-enabled storage-integrated memory expanders has been accepted from HotStorage'22
Panmnesia KAIST June 20, 2022

We are proud to announce that our cutting-edge Compute Express Link (CXL) based solid-state drives (CXL-SSD) have been successfully demonstrated at the 2022 ACM Workshop on Hot Topics in Storage and File Systems (HotStorage’22). The workshop, which focuses on research and developments in storage systems, was a perfect opportunity to showcase the innovative capabilities of our CXL-SSD.

CXL is an open multi-protocol method that supports cache coherent interconnect for various processors, accelerators, and memory device types. While it primarily manages data coherency between CPU memory spaces and memory on attached devices, we believe that it can also be useful in transforming existing block storage into cost-efficient, large-scale working memory.

Our presentation at HotStorage’22 examined three different sub-protocols of CXL from a memory expander viewpoint. We suggested the device type that can be the best option for PCIe storage to bridge its block semantics to memory-compatible, byte semantics. Additionally, we discussed how to integrate a storage-integrated memory expander into an existing system and speculated on its impact on system performance. Lastly, we explored various CXL network topologies and the potential of a new opportunity to efficiently manage the storage-integrated, CXL-based memory expansion.

Our demonstration at HotStorage’22 highlighted the significant advancements in CXL technology and how it can transform storage and memory systems. CXL-SSD is a revolutionary solution that enables large-scale working memory to be created cost-effectively by leveraging existing block storage. This breakthrough will revolutionize storage and memory systems, particularly in the context of high-performance computing.

Panmnesia, Inc is committed to developing innovative solutions that leverage the potential of CXL technology. Our CXL-SSD is just one example of the groundbreaking solutions that we are creating to meet the needs of our customers. We believe that CXL is the future of CPU and memory technology, and we are excited to be at the forefront of this exciting new frontier.

Stay tuned for more updates as we continue to explore the potential of CXL technology and its impact on storage and memory systems.

Our memory pooling with Compute Express Link (CXL) has been accepted from USENIX ATC'22
Panmnesia KAIST April 30, 2022

We are thrilled to share that our team has successfully proposed and demonstrated a new cache coherent interconnect called DirectCXL, which directly connects a host processor complex and remote memory resources over CXL’s memory protocol (CXL.mem). In a paper published in USENIX ATC, we explore several practical designs for CXL-based memory disaggregation and make them real, offering a new approach to utilizing memory resources that is expected to be more efficient than ever before.

DirectCXL eliminates the need for data copies between the host memory and remote memory, which allows for the true performance of remote-side disaggregated memory resources to be exposed to the users. Additionally, we have created a CXL software runtime that enables users to utilize the underlying disaggregated memory resources through sheer load/store instructions, as there is no operating system currently supporting CXL.

Our work has been recognized with an acceptance rate of only 16% at USENIX ATC, a testament to the significance of our proposal and its potential impact on the industry. We are excited to continue our research and development in this area and look forward to sharing more updates in the near future.

We uncover The World-first CXL-based Memory Disaggregation IPs
Panmnesia KAIST March 05, 2022

As the big data era arrives and data-intensive workloads continue to proliferate, resource disaggregation has become an increasingly important area of research and development. By separating processors and storage devices from one another, disaggregated resource architectures can offer greater scale-out capabilities, increased cost efficiency, and transparent elasticity, breaking down the physical boundaries that have traditionally constrained data center and high-performance computing environments.

However, achieving memory disaggregation that supports high performance and scalability with low cost is a non-trivial task. Many industry prototypes and academic studies have explored a wide range of approaches to realize memory disaggregation, but to date, the concept has yet to be fully realized due to several fundamental challenges.

That’s where our team at Panmnesia (KAIST startup) comes in. We have developed a world-first proof-of-concept CXL solution that directly connects a host processor complex and remote memory resources over the computing express link (CXL) protocol. Our solution framework includes a set of CXL hardware and software IPs, such as a CXL switch, processor complex IP, and CXL memory controller, which completely decouple memory resources from computing resources and enable high-performance, fully scale-out memory disaggregation architectures.

Our CXL solution framework provides several key benefits over traditional memory disaggregation approaches. For example, it enables greater resource utilization and efficiency by making it possible to more easily share and allocate memory resources across multiple nodes. Additionally, our framework can support greater scalability, allowing organizations to expand their memory resources as their needs grow without incurring significant costs or disruptions.

Overall, we believe that our CXL solution represents a major breakthrough in the field of resource disaggregation and memory disaggregation in particular. By providing a more efficient, cost-effective, and scalable approach to memory disaggregation, we are helping organizations to fully leverage the power of their data-intensive workloads and realize the full potential of their computing environments.