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SUMMARY:Grappa: Scale-out Performance on Commodity Hardware for Irregular 
 Applications - Mark Oskin (University of Washington)
DTSTART:20131216T100000Z
DTEND:20131216T110000Z
UID:TALK48880@talks.cam.ac.uk
CONTACT:Eiko Yoneki
DESCRIPTION:Grappa is a runtime system for commodity clusters of multicore
  computers that presents a massively parallel\, single address space abstr
 action to applications. Grappa's purpose is to enable scalable performance
  of irregular parallel applications\, such as  branch and bound optimizati
 on\, SPICE circuit simulation\, and graph processing. Poor data locality\,
  imbalanced parallel work and complex communication patterns make scaling 
 these applications difficult.\n\nGrappa serves both as a C++ user library 
 and as a foundation for higher level languages.  Grappa tolerates delays t
 o remote memory by multiplexing thousands of lightweight workers to each p
 rocessor core\, balances load via fine-grained distributed work-stealing\,
  increases communication throughput by aggregating smaller data requests i
 nto large ones\, and provides efficient synchronization and remote operati
 ons.  This talk will present a detailed description of the Grappa system a
 nd performance comparisons between Grappa\, GraphLab\, and the Cray XMT an
 d MTA.  We find that Grappa is 2.5X faster than Graphlab and 4X faster tha
 n the Cray systems.\n\nBio: Mark Oskin is an Associate Professor of Comput
 er Science and Engineering at the University of Washington.  He is the rec
 ipient of both the NSF CAREER and Sloan Foundation Awards.  He has graduat
 ed three PhD students\, and several masters students.  He has published ov
 er 50 peer-reviewed articles on a wide range of topics including runtime s
 ystems for high performance graph analytics\, dataflow computing\, determi
 nistic multiprocessing\, and and intelligent memory.  He has co-founded tw
 o companies and is currently the VP of Engineering  of Konyac Inc.\n\n
LOCATION:FW26\, Computer Laboratory\, William Gates Builiding
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