Back to Results
First PageMeta Content
Scheduling algorithms / Operations research / Planning / Scheduling / Cilk / Data parallelism / Thread / Windows Task Scheduler / Computing / Concurrent computing / Computer programming


Adaptive Scheduling with Parallelism Feedback Kunal Agrawal Yuxiong He Wen Jing Hsu
Add to Reading List

Document Date: 2014-09-16 08:27:50


Open Document

File Size: 147,01 KB

Share Result on Facebook

Company

Artificial Intelligence Laboratory / Thinking Machines Corporation / IBM / A-G REEDY / SIAM Journal / /

Country

United States / /

Currency

USD / /

Event

Reorganization / Layoffs / /

Facility

York University / Artificial Intelligence Laboratory Massachusetts Institute of Technology Cambridge / University of Texas / National University of Singapore / Nanyang Technological University / University of Maryland / Massachusetts Institute of Technology / Rice University / /

IndustryTerm

parallel computing / wq processors / multiplicative-decrease algorithm / parallel systems / parallel applications / fewer processors / computing / parallel computer systems / adaptive scheduling algorithm / level data parallel algorithms / aq processors / non-work-conserving processor / few processors / online manner / multiprocessor systems / data-parallel job scheduling algorithms / sequential processors / adaptive greedy algorithm / asynchronous algorithm / process management / /

Organization

Institute of Technology Cambridge / University of Texas at Austin / University of Maryland / Rice University / Massachusetts Institute of Technology / U.S. Securities and Exchange Commission / Society for Industrial and Applied Mathematics / National Science Foundation / National University of Singapore / York University / Singapore-MIT Alliance / Nanyang Technological University / /

Person

Dan Suciu / Chuan-Qi Zhu / Giuseppe Serazzi / Dynamic / Allan Gottlieb / Lawrence W. Dowdy / Guy E. Blelloch / Xiaotie Deng / Scott T. Leutenegger / Bradley C. Kuszmaul / Deng / John L. Bruno / Jr. / W. Derrick Weathersby / Patrick Dymond / Brian M. Carlson / Chung Kwong Yuen / David A. Kranz / Alan Sussman / Philip A. Lisiecki / Mary K. Vernon / Lawrence Snyder / Uwe Schwiegelshohn / Yossi Matias / Jim Sukha / Charles E. Leiserson / Marco Zagha / Donald D. Chinn / Joseph Gil / Emilia Rosti / John Greiner / John Zahorjan / Jonathan C. Hardwick / Gideon Stupp / Wen Jing Hsu / Jason Glasgow / Ravi Sethi / Jim Humphries / Weng Fai Wong / C. Greg Plaxton / Evgenia Smirni / Gagan Agrawal / Walter Ludwig / Girija J. Narlikar / Robert D. Blumofe / Chung Yew / Jochen Konemann / Eric Torng / Prasoon Tiwari / Philip S. Yu / Timothy B. Brecht / Andrew Tucker / Edward D. Lozowska / Bradford L. Chamberlain / Joel L. Wolf / Matteo Frigo / Dionisios Papadopoulos / Larry Rudolph / Kedar Dhamdhere / Robert H. Halstead / Jr. / Eric Mohr / Anoop Gupta / Kaushik Guha Timothy / Cathy McCann / Steven Phillips / Bradley Kuszmaul / Calvin Lin / Jeff Edmonds / Amitabh Sinha / Siddhartha Chatterjee / Rajeev Motwani / Timothy Brecht / Ming Dong Feng / Phil Gibbons / D. Blumofe / David S. Park / Tim J. Harris / Derek L. Eager / Lisa Fleischer / Xavier Martorell / Mark S. Squillante / Raj Vaswani / John Turek / J. R. Rose / Julita CorbalĀ“an / Edward G. Coffman / Joel Saltz / Guy Blelloch / Yuli Zhou / Theodore S. Papatheodorou / Guy Edjlali / Robert H. Halstead / Christopher Lewis / Keith H. Randall / Nikhil Bansal / Val Tannen / Tim Brecht / Jay Sipelstein / G. L. Steele Jr. / Sung-Eun Choi / Boris D. Lubachevsky / Christopher F. Joerg / Liang Peng / /

Position

adaptive scheduler / good thread scheduler / adversarial job scheduler / thread scheduler / Visiting Scientist / General / user-level task scheduler / greedy scheduler / task scheduler / because it knows the vector lengths / task scheduler / and the task scheduler / adversarial model for the job scheduler / job scheduler / Associate Professor / kernellevel job scheduler / real scheduler / work-stealing task scheduler / adaptive greedy task scheduler / NANOS CPU manager / adaptive task scheduler / practical scheduler / greedy task scheduler / nonadaptive scheduler / this strategy / general case / A-G REEDYlike task scheduler / scheduler / prioritized task scheduler / task scheduler / dataparallel task scheduler / /

ProgrammingLanguage

Lisp / NESL / Fortran / Cilk / C / C* / /

ProvinceOrState

New York / Texas / Maryland / Pennsylvania / Massachusetts / /

PublishedMedium

Journal of the ACM / the Theory of Computing / SIAM Journal on Computing / Communications of the ACM / IEEE Transactions on Software Engineering / IEEE Transactions on Computers / /

SportsEvent

the Olympic Games / /

Technology

Functional Programming / Lpq processor / allotted processors / wq processors / too few processors / 5 processors / operating system / shared memory / adaptive greedy algorithm / multiplicative-decrease algorithm / non-work-conserving processor / data-parallel job scheduling algorithms / high-level data parallel algorithms / asynchronous algorithm / Operating Systems / Process control / Terms Algorithms / PDF / PDF algorithms / aq processors / adaptive scheduling algorithm / simulation / Parallel Processing / /

SocialTag