Memory Latency Reduction with Fine-grain Migrating Threads in Numa Shared-memory Multiprocessors
نویسندگان
چکیده
In order to fully realize the potential performance benefits of large-scale NUMA shared memory multiprocessors, efficient techniques to reduce/tolerate long memory access latencies in such systems are to be developed. This paper discusses the concept, software and hardware support for memory latency reduction through fine-grain non-transparent thread migration, referred to as mobile multithreading, in the proposed scalable NUMA sharedmemory architecture. The performance evaluation results for the conjugate gradient NAS benchmark demonstrate that the proposed fine-grain thread migration combined with data prefetching can be effectively used to reduce memory latency and switch traffic in NUMA sharedmemory multiprocessors with a large non-uniformity memory access ratio.
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