Author:

Kurtis Bowman

Company : AMD

Title : President

 
 
author

Gen-Z: High-Performance Interconnect for the Data-Centric Future

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The public release of the Gen-Z Core Specification 1.0 enables silicon providers and IP developers to begin the development of products enabling Gen-Z technology solutions. This presentation outlines how Gen-Z will address the multiple server challenges brought on by the explosion of data (180ZB annually by 2025) and the need for a high-speed, low-latency, scalable, memory-centric fabric. Customers have more data and require more processing of that data, and to be competitive, companies must monetize that data.

New Interconnects - PM Summit 2019

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In this session we take a look at three powerful interconnect technologies. A brief overview is provided for all three: CCIX, Gen-Z, and OpenCAPI, each presented by industry experts. The focus will be on the current status of each interconnect, and how they are relevant to persistent memory. The panel will then answer questions from the audience.

Explore the Compute Express Link™ (CXL™) Device Ecosystem and Usage Models - A Panel

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Compute Express Link™ (CXL™) maintains memory coherency between the CPU memory space and memory on CXL attached devices. CXL enables a high-speed, efficient interconnect between the CPU, platform enhancements, and workload accelerators such as GPUs, FPGAs, and other purpose-built accelerator solutions.
 
Recently, CXL Consortium members showcased public demonstrations of CXL at industry events, proving to the industry that CXL’s vision to enable a new ecosystem of high-performance, heterogeneous computing is now a reality.

Increasing AI and HPC Application Performance with CXL Fabrics - A Panel

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The CXL 3.1 specification introduces CXL fabric manager and extensions, Trusted-Execution-Environment Security Protocol (TSP), and facilitate memory sharing between accelerators and GPUs. This panel presentation will introduce the new features and explore how CXL attached memory to meet the increased memory capacity and bandwidth for HPC, AI, and ML applications in modern data centers. Expert representatives from CXL Consortium member companies will highlight ROI examples when implementing CXL attached memory.

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