Computer Science > Distributed, Parallel, and Cluster Computing
[Submitted on 21 Aug 2024 (v1), last revised 26 Aug 2024 (this version, v2)]
Title:Understanding Data Movement in Tightly Coupled Heterogeneous Systems: A Case Study with the Grace Hopper Superchip
View PDF HTML (experimental)Abstract:Heterogeneous supercomputers have become the standard in HPC. GPUs in particular have dominated the accelerator landscape, offering unprecedented performance in parallel workloads and unlocking new possibilities in fields like AI and climate modeling. With many workloads becoming memory-bound, improving the communication latency and bandwidth within the system has become a main driver in the development of new architectures. The Grace Hopper Superchip (GH200) is a significant step in the direction of tightly coupled heterogeneous systems, in which all CPUs and GPUs share a unified address space and support transparent fine grained access to all main memory on the system. We characterize both intra- and inter-node memory operations on the Quad GH200 nodes of the new Swiss National Supercomputing Centre Alps supercomputer, and show the importance of careful memory placement on example workloads, highlighting tradeoffs and opportunities.
Submission history
From: Luigi Fusco [view email][v1] Wed, 21 Aug 2024 12:07:54 UTC (32,435 KB)
[v2] Mon, 26 Aug 2024 13:52:08 UTC (32,435 KB)
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