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JSSPP
2010
Springer
13 years 5 months ago
Dynamic Proportional Share Scheduling in Hadoop
We present the Dynamic Priority (DP) parallel task scheduler for Hadoop. It allows users to control their allocated capacity by adjusting their spending over time. This simple mech...
Thomas Sandholm, Kevin Lai
CLUSTER
2006
IEEE
14 years 1 months ago
Stochastic Scheduling with Availability Constraints in Heterogeneous Clusters
High availability plays an important role in heterogeneous clusters, where processors operate at different speeds and are not continuously available for processing. Existing sched...
Tao Xie 0004, Xiao Qin
EUROPAR
2004
Springer
14 years 23 days ago
From Heterogeneous Task Scheduling to Heterogeneous Mixed Parallel Scheduling
Abstract. Mixed-parallelism, the combination of data- and taskparallelism, is a powerful way of increasing the scalability of entire classes of parallel applications on platforms c...
Frédéric Suter, Frederic Desprez, He...
IPPS
2006
IEEE
14 years 1 months ago
On-the-fly kernel updates for high-performance computing clusters
High-performance computing clusters running longlived tasks currently cannot have kernel software updates applied to them without causing system downtime. These clusters miss oppo...
Kristis Makris, Kyung Dong Ryu
CLUSTER
2010
IEEE
12 years 11 months ago
Middleware support for many-task computing
Many-task computing aims to bridge the gap between two computing paradigms, high throughput computing and high performance computing. Many-task computing denotes highperformance co...
Ioan Raicu, Ian T. Foster, Mike Wilde, Zhao Zhang,...