BEGIN:VCALENDAR PRODID;X-RICAL-TZSOURCE=TZINFO:-//Calagator//EN CALSCALE:GREGORIAN X-WR-CALNAME:Calagator METHOD:PUBLISH VERSION:2.0 BEGIN:VTIMEZONE TZID;X-RICAL-TZSOURCE=TZINFO:America/Los_Angeles BEGIN:DAYLIGHT DTSTART:20100314T020000 RDATE:20100314T020000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT CREATED;VALUE=DATE-TIME:20100702T172233Z DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20100709T113000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20100709T103000 DTSTAMP;VALUE=DATE-TIME:20100702T172233Z LAST-MODIFIED;VALUE=DATE-TIME:20100702T172233Z UID:http://calagator.org/events/1250458823 DESCRIPTION:Requirements and Performance of Data Intensive\, Irregular Ap plications \;\n \;\nDr. John Feo \;\n \;\nMany fundamental s cience\, national security\, and business applications need to process l arge volumes of irregular\, unstructured data. Data collection and analy sis is rapidly changing the way the scientific\, national security\, and economic communities operate. There are worldwide operational deploymen ts of instruments to detect the proliferation of weapons of mass destruc tion\, monitor terrorist cells\, and track the movement of illicit goods and services. In the next 15 years 30% of battle-space defense forces w ill be autonomous with each advanced robotic device carrying dozens of s ophisticated sensors collecting\, processing\, analyzing and transmittin g large amounts of data. American economic competitiveness will depend i ncreasingly on the timely analysis of many Petabytes of data collected i n diverse computing clouds charting the social and economic behavior of consumers. \;\n \;\nUnlike traditional scientific applications bas ed on linear algebra routines\, data analytic applications comprise larg e\, integer-based graph computations with irregular data access patterns \, low computation to memory access ratios\, and high levels of fine gra in parallelism that pass data and synchronize frequently. Traditional ar chitectures optimized to run large-scale floating point intensive simula tions are inadequate\, and more suitable high-end architectures such as the Cray XMT are needed. In this talk I will discuss the programming lan guage\, tools\, and system requirements for data analytic applications. I will survey the research at PNNL’s Center for Adaptive Supercomputer S oftware as regards graph analytics. In particular\, I will present sever al key graph algorithms we have developed with an emphasis on structure\ , use of special hardware features\, performance\, and scalability.\n\nT ags: galois\, graph algorithm\n\nImported from: http://calagator.org/eve nts/1250458823 URL:http://www.galois.com/blog/2010/07/02/tech-talk-requirements-and-perf ormance-of-data-intensive-irregular-applications/ SUMMARY:Galois Tech Talk: Requirements and Performance of Data Intensive\ , Irregular Applications LOCATION:Galois\, Inc: 421 SW 6th Ave. Suite 300\, Portland OR 97204 US SEQUENCE:1 END:VEVENT END:VCALENDAR