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» Shared memory programming for large scale machines
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ICPADS
2010
IEEE
14 years 7 months ago
Data-Aware Task Scheduling on Multi-accelerator Based Platforms
To fully tap into the potential of heterogeneous machines composed of multicore processors and multiple accelerators, simple offloading approaches in which the main trunk of the ap...
Cédric Augonnet, Jérôme Clet-O...
ICFP
2007
ACM
15 years 9 months ago
Feedback directed implicit parallelism
In this paper we present an automated way of using spare CPU resources within a shared memory multi-processor or multi-core machine. Our approach is (i) to profile the execution o...
Tim Harris, Satnam Singh
108
Voted
SSDBM
2010
IEEE
248views Database» more  SSDBM 2010»
15 years 2 months ago
Client + Cloud: Evaluating Seamless Architectures for Visual Data Analytics in the Ocean Sciences
Science is becoming data-intensive, requiring new software architectures that can exploit resources at all scales: local GPUs for interactive visualization, server-side multi-core ...
Keith Grochow, Bill Howe, Mark Stoermer, Roger S. ...
94
Voted
CCS
2011
ACM
13 years 9 months ago
VMCrypt: modular software architecture for scalable secure computation
Garbled circuits play a key role in secure computation. Unlike previous work, which focused mainly on efficiency and automation aspects of secure computation, in this paper we foc...
Lior Malka
73
Voted
IEEEPACT
2008
IEEE
15 years 4 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...