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Last level cache (LLC) performance of data mining workloads on a CMP - a case study of parallel bioinformatics workloads

9 years 5 months ago
Last level cache (LLC) performance of data mining workloads on a CMP - a case study of parallel bioinformatics workloads
With the continuing growth in the amount of genetic data, members of the bioinformatics community are developing a variety of data-mining applications to understand the data and discover meaningful information. These applications are important in defining the design and performance decisions of future high performance microprocessors. This paper presents a detailed data-sharing analysis and chip-multiprocessor (CMP) cache study of several multithreaded data-mining bioinformatics workloads. For a CMP with a three-level cache hierarchy, we model the last-level of the cache hierarchy as either multiple private caches or a single cache shared amongst different cores of the CMP. Our experiments show that the bioinformatics workloads exhibit significant data-sharing--50?95% of the data cache is shared by the different threads of the workload. Furthermore, regardless of the amount of data cache shared, for some workloads, as many as 98% of the accesses to the last-level cache are to shared d...
Aamer Jaleel, Matthew Mattina, Bruce L. Jacob
Added 01 Dec 2009
Updated 01 Dec 2009
Type Conference
Year 2006
Where HPCA
Authors Aamer Jaleel, Matthew Mattina, Bruce L. Jacob
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