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» Implementing Fault-Tolerant Distributed Applications
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HPDC
2008
IEEE
15 years 11 months ago
Combining batch execution and leasing using virtual machines
As cluster computers are used for a wider range of applications, we encounter the need to deliver resources at particular times, to meet particular deadlines, and/or at the same t...
Borja Sotomayor, Kate Keahey, Ian T. Foster
IPPS
2009
IEEE
15 years 11 months ago
Exploring the multiple-GPU design space
Graphics Processing Units (GPUs) have been growing in popularity due to their impressive processing capabilities, and with general purpose programming languages such as NVIDIA’s...
Dana Schaa, David R. Kaeli
IEEEPACT
2008
IEEE
15 years 10 months ago
Mars: a MapReduce framework on graphics processors
We design and implement Mars, a MapReduce framework, on graphics processors (GPUs). MapReduce is a distributed programming framework originally proposed by Google for the ease of ...
Bingsheng He, Wenbin Fang, Qiong Luo, Naga K. Govi...
IPPS
2008
IEEE
15 years 10 months ago
Model-guided performance tuning of parameter values: A case study with molecular dynamics visualization
In this paper, we consider the interaction between application programmers and tools that automatically search a space of application-level parameters that are believed to impact ...
Yiinju L. Nelson, Bhupesh Bansal, Mary W. Hall, Ai...
CLUSTER
2007
IEEE
15 years 10 months ago
Performance analysis of a user-level memory server
Abstract—Large-scale parallel applications often produce immense quantities of data that need to be analyzed. To avoid performing repeated, costly disk accesses, analysis of larg...
Scott Pakin, Greg Johnson