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» Metrics for Parallel Job Scheduling and Their Convergence
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CF
2009
ACM
15 years 2 months ago
Non-clairvoyant speed scaling for batched parallel jobs on multiprocessors
Energy consumption and heat dissipation have become key considerations for modern high performance computer systems. In this paper, we focus on non-clairvoyant speed scaling to mi...
Hongyang Sun, Yangjie Cao, Wen-Jing Hsu
HPDC
2002
IEEE
15 years 2 months ago
Decoupling Computation and Data Scheduling in Distributed Data-Intensive Applications
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...
Kavitha Ranganathan, Ian T. Foster
JSSPP
2007
Springer
15 years 3 months ago
Impact of Reservations on Production Job Scheduling
The TeraGrid is a closely linked community of diverse resources: computational, data, and experimental, e.g., the imminent very large computational system at the University of Tex...
Martin Margo, Kenneth Yoshimoto, Patricia A. Kovat...
JSSPP
2004
Springer
15 years 2 months ago
Reconfigurable Gang Scheduling Algorithm
 Using a single traditional gang scheduling algorithm cannot provide the best performance for all workloads and parallel architectures. A solution for this problem is the use of...
Luís Fabrício Wanderley Góes,...
JSSPP
2004
Springer
15 years 2 months ago
Enhancements to the Decision Process of the Self-Tuning dynP Scheduler
The self-tuning dynP scheduler for modern cluster resource management systems switches between different basic scheduling policies dynamically during run time. This allows to reac...
Achim Streit