A Problem or an Opportunity? Database workload + low throughput - PowerPoint PPT Presentation

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A Problem or an Opportunity? Database workload + low throughput (0.8 IPC on an 8-wide superscalar) + naturally threaded application + widely used - already high cache miss rates on a single-threaded machine Key question: Can SMTs

A Problem or an Opportunity? Database workload + low throughput (0.8 IPC on an 8-wide superscalar) + naturally threaded application + widely used - already high cache miss rates on a single-threaded machine Key question: Can SMT’s simultaneous multi-thread instruction issue hide the latencies from additional misses in this already memory-intensive databases? Spring 2005 CSE 548P 1
Database Bottom Line SMT gets good speedups on commercial database workloads • 3x for debit/credit systems, 1.7 for big search problems The reasons: • Limits inter-thread data interference in the caches to superscalar levels by: • a virtual-to-physical page mapping policy that exploits temporal locality in the physically-addressed L2 cache • address offsetting for thread-private data in the L1 data cache • Exploits SMT’s inter-thread instruction sharing (35% reduction in instruction cache miss rates) • Hides latencies of all kinds with simultaneous, multi-thread instruction issue Spring 2005 CSE 548P 2
SMT Performance Spring 2005 CSE 548P 3

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