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» A scalable framework for heterogeneous GPU-based clusters
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SPAA
2012
ACM
11 years 7 months ago
A scalable framework for heterogeneous GPU-based clusters
GPU-based heterogeneous clusters continue to draw attention from vendors and HPC users due to their high energy efficiency and much improved single-node computational performance...
Fengguang Song, Jack Dongarra
FPGA
2010
ACM
294views FPGA» more  FPGA 2010»
13 years 9 months ago
Axel: a heterogeneous cluster with FPGAs and GPUs
This paper describes a heterogeneous computer cluster called Axel. Axel contains a collection of nodes; each node can include multiple types of accelerators such as FPGAs (Field P...
Kuen Hung Tsoi, Wayne Luk
DNIS
2010
Springer
184views Database» more  DNIS 2010»
13 years 11 months ago
A Study on Workload Imbalance Issues in Data Intensive Distributed Computing
In recent years, several frameworks have been developed for processing very large quantities of data on large clusters of commodity PCs. These frameworks have focused on fault-tole...
Sven Groot, Kazuo Goda, Masaru Kitsuregawa
ICPP
2008
IEEE
13 years 11 months ago
Scioto: A Framework for Global-View Task Parallelism
We introduce Scioto, Shared Collections of Task Objects, a lightweight framework for providing task management on distributed memory machines under one-sided and globalview parall...
James Dinan, Sriram Krishnamoorthy, D. Brian Larki...
IPPS
2009
IEEE
13 years 11 months ago
Ibis: Real-world problem solving using real-world grids
Ibis is an open source software framework that drastically simplifies the process of programming and deploying large-scale parallel and distributed grid applications. Ibis suppor...
Henri E. Bal, Niels Drost, Roelof Kemp, Jason Maas...