One proposed technique to reduce energy consumption of data centers is thermal-aware job scheduling, i.e. job scheduling that relies on predictive thermal models to select among po...
Georgios Varsamopoulos, Ayan Banerjee, Sandeep K. ...
In high energy physics, bioinformatics, and other disciplines, we encounter applications involving numerous, loosely coupled jobs that both access and generate large data sets. So...
Job scheduling typically focuses on the CPU with little work existing to include I/O or memory. Time-shared execution provides the chance to hide I/O and long-communication latenc...
As the scale is expanding, node failure becomes a commonplace feature of large-scale cluster systems. As an important part of cluster operating system software, job scheduling tak...
Linping Wu, Dan Meng, Jianfeng Zhan, Wang Lei, Bib...
Recent research in multi-site parallel job scheduling leverages user-provided estimates of job communication characteristics to effectively partition the job across multiple clus...
Abstract— Minimizing the energy cost and improving thermal performance of power-limited datacenters, deploying large computing clusters, are the key issues towards optimizing the...
We consider Priority Algorithm [BNR03] as a syntactic model of formulating the concept of greedy algorithm for Job Scheduling, and we study the computation of optimal priority alg...
It is important to identify scalability constraints in existing job scheduling software as they are applied to next generation parallel systems. In this paper, we analyze the scala...
Norman Bobroff, Richard Coppinger, Liana Fong, See...
— Technology scaling has caused the feature sizes to shrink continuously, whereas interconnects, unlike transistors, have not followed the same trend. Designing 3D stack architec...
Reconfigurable high-performance computing systems (RHPC) have been attracting more and more attention over the past few years. RHPC systems are a promising solution for accelerati...