Media Summary: Paper by Moiz Arif, Kevin Assogba, M. Mustafa Rafique and Sudharshan Vazhkudai, presented at ICPP'22. A Case Study for Data Analytics Platforms Don Moon (SK hynix) In the landscape of High-Performance Computing (HPC), the quest for efficient and scalable

Exploiting Cxl Based Memory For - Detailed Analysis & Overview

Paper by Moiz Arif, Kevin Assogba, M. Mustafa Rafique and Sudharshan Vazhkudai, presented at ICPP'22. A Case Study for Data Analytics Platforms Don Moon (SK hynix) In the landscape of High-Performance Computing (HPC), the quest for efficient and scalable IEEE COMPUTER ARCHITECTURE LETTERS, VOL. 22, NO. 1, JANUARY-JUNE 2023 Title: Computational Presented by Michael Ocampo (Astera Labs) This is a quick introduction to Compute Express Link (

Navneet Rao SoC Engineer - Altera, Nilesh Shah VP Business Development - zeropoint technologies The OCP CMS group has ... Today on the show, we're diving into three very different frontiers of AI infrastructure and optimization. First, UC Davis introduces ...

Photo Gallery

Exploiting CXL-based Memory for Distributed Deep Learning
CXL-based Memory Expansion and Near Memory Processing Opportunities
Samsung | Expanding Beyond Limits With CXL™-based Memory
CXL Memory as Persistent Memory for Disaggregated HPC (A Practical Approach)
WORDS 22 - CXL-based memory disaggregation deployment in cloud datacenters by Daniel Berger (Azure)
Computational CXL-Memory Solution for Accelerating Memory-intensive Applications
Break Through the Memory Wall with CXL
CXL™ - Based Smart Memory Controllers Enable CPUs to Optimize Workloads
Hugh Curley   CXL in 15 min
SDC2022 – A Persistent CXL Memory Module with DRAM Performance
Evaluating CXL Based Composable Memory Solutions A TCO Framework for Datacenter Workloads
Enhancing the Scalability of Memory Sub-system with SK hynix CXL Devices
View Detailed Profile
Exploiting CXL-based Memory for Distributed Deep Learning

Exploiting CXL-based Memory for Distributed Deep Learning

Paper by Moiz Arif, Kevin Assogba, M. Mustafa Rafique and Sudharshan Vazhkudai, presented at ICPP'22.

CXL-based Memory Expansion and Near Memory Processing Opportunities

CXL-based Memory Expansion and Near Memory Processing Opportunities

A Case Study for Data Analytics Platforms Don Moon (SK hynix)

Samsung | Expanding Beyond Limits With CXL™-based Memory

Samsung | Expanding Beyond Limits With CXL™-based Memory

Jonathan Prout, who manages the

CXL Memory as Persistent Memory for Disaggregated HPC (A Practical Approach)

CXL Memory as Persistent Memory for Disaggregated HPC (A Practical Approach)

In the landscape of High-Performance Computing (HPC), the quest for efficient and scalable

WORDS 22 - CXL-based memory disaggregation deployment in cloud datacenters by Daniel Berger (Azure)

WORDS 22 - CXL-based memory disaggregation deployment in cloud datacenters by Daniel Berger (Azure)

"How will

Computational CXL-Memory Solution for Accelerating Memory-intensive Applications

Computational CXL-Memory Solution for Accelerating Memory-intensive Applications

IEEE COMPUTER ARCHITECTURE LETTERS, VOL. 22, NO. 1, JANUARY-JUNE 2023 Title: Computational

Break Through the Memory Wall with CXL

Break Through the Memory Wall with CXL

Presented by Michael Ocampo (Astera Labs)

CXL™ - Based Smart Memory Controllers Enable CPUs to Optimize Workloads

CXL™ - Based Smart Memory Controllers Enable CPUs to Optimize Workloads

Expand DDR

Hugh Curley   CXL in 15 min

Hugh Curley CXL in 15 min

This is a quick introduction to Compute Express Link (

SDC2022 – A Persistent CXL Memory Module with DRAM Performance

SDC2022 – A Persistent CXL Memory Module with DRAM Performance

Data persistence on

Evaluating CXL Based Composable Memory Solutions A TCO Framework for Datacenter Workloads

Evaluating CXL Based Composable Memory Solutions A TCO Framework for Datacenter Workloads

Navneet Rao SoC Engineer - Altera, Nilesh Shah VP Business Development - zeropoint technologies The OCP CMS group has ...

Enhancing the Scalability of Memory Sub-system with SK hynix CXL Devices

Enhancing the Scalability of Memory Sub-system with SK hynix CXL Devices

Thomas Won Ha Choi (SK hynix)

OpenAI, NVIDIA, and AWS: Calibrated LLM Surrogates, CXL Memory, and Flat Fabrics

OpenAI, NVIDIA, and AWS: Calibrated LLM Surrogates, CXL Memory, and Flat Fabrics

Today on the show, we're diving into three very different frontiers of AI infrastructure and optimization. First, UC Davis introduces ...