Computer Science – Distributed – Parallel – and Cluster Computing
Scientific paper
2007-12-14
Computer Science
Distributed, Parallel, and Cluster Computing
12 pages, 7 figures. Accepted for Workshop on Large-Scale Parallel Processing 2008. Revised and extended version
Scientific paper
Processor and system architectures that feature multiple memory controllers are prone to show bottlenecks and erratic performance numbers on codes with regular access patterns. Although such effects are well known in the form of cache thrashing and aliasing conflicts, they become more severe when memory access is involved. Using the new Sun UltraSPARC T2 processor as a prototypical multi-core design, we analyze performance patterns in low-level and application benchmarks and show ways to circumvent bottlenecks by careful data layout and padding.
Hager Georg
Wellein Gerhard
Zeiser Thomas
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