Preparation and optimization of a diverse workload for a large-scale heterogeneous system.
Ian KarlinYoonho ParkBronis R. de SupinskiPeng WangBert StillDavid BeckingsaleRobert BlakeTong ChenGuojing CongCarlos H. A. CostaJohann DahmGiacomo DomeniconiThomas EpperlyAaron FisherSara Kokkila SchumacherSteven H. LangerHai LeEun Kyung LeeNaoya MaruyamaXinyu QueDavid F. RichardsBjörn SjögreenJonathan WongCarol S. WoodwardUlrike Meier YangXiaohua ZhangBob AndersonDavid AppelhansLevi BarnesPeter D. Barnes Jr.Sorin BasteaDavid BöhmeJamie A. BramwellJames M. BraseJosé R. BrunherotoBarry ChenCharway R. CooperTony DegrootRobert D. FalgoutTodd GamblinDavid J. GardnerJames N. GlosliJohn A. GunnelsMax P. KatzTzanio V. KolevI-Feng W. KuoMatthew P. LeGendreRuipeng LiPei-Hung LinShelby LockhartKathleen McCandlessClaudia MisaleJaime H. MorenoRob NeelyJarom NelsonRao NimmakayalaKathryn M. O'BrienKevin O'BrienRamesh PankajakshanRoger PearceSlaven PelesPhil RegierSteven C. RennichMartin SchulzHoward ScottJames C. SextonKathleen ShogaShiv SundramGuillaume Thomas-CollignonBrian Van EssenAlexey VoroninBob WalkupLu WangChris WardHui-Fang WenDaniel A. WhiteChristopher YoungCyril ZellerEdward ZywiczPublished in: SC (2019)
Keyphrases
- real world
- response time
- small scale
- optimization problems
- optimization process
- wide variety
- optimization algorithm
- global optimization
- real life
- decision trees
- artificial neural networks
- evolutionary algorithm
- real time
- data management
- data collection
- website
- genetic algorithm
- optimal design
- joint optimization
- discrete optimization
- optimization strategies