Exploring Moving Compute Near Data Cxl Based Computational Memory

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Xcena, formerly MetisX, just raised $135 million at a reported $570 million valuation. But this is not another simple “AI chip startup” ... PCIe interconnect cannot cater to real time parallel processing . It still uses DMA and copy engines to

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Moving compute near data - CXL based Computational-Memory
SNIA PM+CS'22: Computational Memory: Moving Compute near Data with Kestral
Data Acceleration with CXL Computational Memory
Memory Pooling with Xconn CXL Switch
Xcena: AI’s Memory Wall and the $570M Bet on Computational Memory
Compute Express Link 2.0 Update
SNIA CMSS23 - CXL™ 3.0: Expanded Capabilities for Increasing Scale &Optimizing Resource Utilization
Storage Acceleration and near memory compute with CXL/CCIX
Computational CXL-Memory Solution for Accelerating Memory-intensive Applications
Demystifying CXL Memory Computation   Yongil Jung, XCENA
Near Memory Compute for AI Inferencing
CXL-based Memory Expansion and Near Memory Processing Opportunities
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Moving compute near data - CXL based Computational-Memory

Moving compute near data - CXL based Computational-Memory

Pekon Gupta (SMART Modular Technologies)

SNIA PM+CS'22: Computational Memory: Moving Compute near Data with Kestral

SNIA PM+CS'22: Computational Memory: Moving Compute near Data with Kestral

In most architectures,

Data Acceleration with CXL Computational Memory

Data Acceleration with CXL Computational Memory

XCENA's

Memory Pooling with Xconn CXL Switch

Memory Pooling with Xconn CXL Switch

Demonstration of

Xcena: AI’s Memory Wall and the $570M Bet on Computational Memory

Xcena: AI’s Memory Wall and the $570M Bet on Computational Memory

Xcena, formerly MetisX, just raised $135 million at a reported $570 million valuation. But this is not another simple “AI chip startup” ...

Compute Express Link 2.0 Update

Compute Express Link 2.0 Update

Compute

SNIA CMSS23 - CXL™ 3.0: Expanded Capabilities for Increasing Scale &Optimizing Resource Utilization

SNIA CMSS23 - CXL™ 3.0: Expanded Capabilities for Increasing Scale &Optimizing Resource Utilization

Compute

Storage Acceleration and near memory compute with CXL/CCIX

Storage Acceleration and near memory compute with CXL/CCIX

PCIe interconnect cannot cater to real time parallel processing . It still uses DMA and copy engines to

Computational CXL-Memory Solution for Accelerating Memory-intensive Applications

Computational CXL-Memory Solution for Accelerating Memory-intensive Applications

IEEE

Demystifying CXL Memory Computation   Yongil Jung, XCENA

Demystifying CXL Memory Computation Yongil Jung, XCENA

Modern analytical engines demand massive

Near Memory Compute for AI Inferencing

Near Memory Compute for AI Inferencing

"Matt Bromage (Senior Segment Manager-

CXL-based Memory Expansion and Near Memory Processing Opportunities

CXL-based Memory Expansion and Near Memory Processing Opportunities

A Case Study for

CXL Memory Pooling Demo

CXL Memory Pooling Demo

The industry's first

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