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PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
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DTSTART:20101116T200000Z
DTEND:20101116T203000Z
LOCATION:393
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: Data intensive computing can be defined as computation involving large datasets and complicated I/O patterns. Data intensive computing is challenging because there is a five-orders-of-magnitude latency gap between main memory DRAM and spinning hard disks. To address this problem we designed and built a prototype data intensive supercomputer named DASH that exploits flash-based Solid State Drive (SSD) technology and also virtually aggregated DRAM to fill the “latency gap”. DASH uses commodity parts including Intel® X25-E flash drives and distributed shared memory (DSM) software from ScaleMP®. We present here an overview of the design of DASH, an analysis of its cost efficiency, then a detailed recipe for how we designed and tuned it for high data-performance, lastly show that running data-intensive scientific applications from graph theory, biology, and astronomy, we achieved as much as two orders-of-magnitude speedup compared to the same applications run on traditional architectures.
SUMMARY:DASH: a Recipe for a Flash-based Data Intensive Supercomputer
PRIORITY:3
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