CXL 满足 AI 对开放行业标准互连的需求
By Debendra Das Sharma , EETimes (July 16, 2024)
We have been in a virtuous cycle of innovation for decades now where dramatic improvements in compute capability—primarily driven by extraordinary advances in transistor and process technologies—have enabled diverse applications. These applications, including generative-AI, are driving an insatiable demand for heterogeneous computing, memory bandwidth, memory capacity and interconnect bandwidth to satisfy the demand of applications.
The need for a robust interconnect standard
While PCIe is a great interconnect, emerging data-centric applications pose a new set of challenges requiring enhancements to PCIe:
- High-performance heterogeneous computing with shared coherent memory space.
- Overcoming the memory bandwidth bottleneck of DDR parallel bus and providing tiered cost-effective memory support.
- Minimizing stranded resources in data centers by pooling memory and accelerators across multiple servers.
- Enabling distributed computing through low-latency load-store-based message passing and shared memory across a large pool of servers, including coherent near in-memory compute.
Related Semiconductor IP
- CXL 3.0 Premium Controller EP/RP/DM/SW 128-1024 bits with AMBA bridge and Advanced HPC Features (Arm CCA)
- CXL 3.0 Premium Controller EP/RP/DM 1024b/512b/256b/128b with AMBA bridge for CXL.io and LTI & MSI Interfaces
- CXL 3.0 Premium Controller EP/RP/DM 1024b/512b/256b/128b with AMBA bridge for CXL.io
- CXL 3.0 Premium Controller EP/RP/DM 1024b/512b/256b/128b
- CXL 2.0 Premium Controller Device/Host/DM 512b with AMBA bridge and Advanced HPC Features (Arm CCA)
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