| Document Date: 2015-04-19 03:30:00
Open Document File Size: 1.007,10 KBShare Result on Facebook
Company Microsoft / Amdahl / / Currency pence / / Event Layoffs / Reorganization / / Facility University of California / / IndustryTerm data parallel computing / jobs systems / pre-processing step / basic algorithms / database server / cluster hardware / lel computing / approximate streaming algorithm / data-parallel computing frameworks / software keep evolving / pre-processor / per-operator processing / data-parallel computing / search engine / approximation algorithms / data-parallel systems / / Organization University of California / Berkeley / / Position extractor / collector / Manager taskn Figure / stat collector / general data parallel computing / reoptimization taski collector / global manager / job manager / i’th collector / / ProgrammingLanguage C / / ProvinceOrState Oregon / California / / Technology basic algorithms / http / approximation algorithms / search engine / machine learning / shared memory / approximate streaming algorithm / /
SocialTag |
Re-optimizing Data-Parallel Computing Sameer Agarwal1,3 , Srikanth Kandula1 , Nicolas Bruno2 , Ming-Chuan Wu2 , Ion Stoica3 , Jingren Zhou2 1 Microsoft Research, 2 Microsoft Bing, 3 University of California, Berkeley Abs