| Document Date: 2010-06-29 04:13:35
Open Document File Size: 527,80 KBShare Result on Facebook
City Phoenix / Vienna / / Company Google / InputSplit / Ostrich / Intel / / Country Austria / / Currency USD / / / Facility Binyu Zang Parallel Processing Institute Fudan University / Pipeline As / Phoenix Library / / IndustryTerm network communications / web access stats / parallel computing / shared memory systems / data-parallel applications / commodity multicore systems / online aggregation / shared memory multiprocessor systems / commodity multicore hardware / software pipeline optimization / cumulative online time / memory systems / types data-parallel applications / multicore systems / inter-task communications / incremental computing / iterative processing / grained management / incremental computing nature / abundant computing resources / software pipeline / remote chips / online job / large scale multicore systems / memory management / / OperatingSystem Linux / / Organization U.S. Securities and Exchange Commission / Fudan University / / Person Job Buffer / Intermediate Buffer / Rong Chen / / Position map Worker / Worker Worker / NUCA/NUMA-aware scheduler / original scheduler / spawns Worker / multiple worker / general data structures / cn ABSTRACT General / Ranger / worker / Worker Worker Worker Worker Multicore Chip Worker / scheduler / Worker Worker Worker / / Product MapReduce applications / MapReduce server / MapReduce / / Technology functional programming / machine translation / Linux / shared memory / operating systems / same chip / 4 Xeon 1.6GHz Quad-cores chips / Multicore Chip Intermediate buffer Repeater Worker Final Buffer Worker Main Memory Worker Iteration Buffer Worker Worker Worker Worker Multicore Chip / load balancing / Parallel Processing / SCSI / /
SocialTag |
Tiled-MapReduce: Optimizing Resource Usages of Data-parallel Applications on Multicore with Tiling Rong Chen, Haibo Chen, and Binyu Zang