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119
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CLUSTER
2007
IEEE
15 years 10 months ago
Non-collective parallel I/O for global address space programming models
— Achieving high performance for out-of-core applications typically involves explicit management of the movement of data between the disk and the physical memory. We are developi...
Sriram Krishnamoorthy, Juan Piernas, Vinod Tippara...
132
Voted
GECCO
2009
Springer
156views Optimization» more  GECCO 2009»
15 years 10 months ago
Characterizing the genetic programming environment for fifth (GPE5) on a high performance computing cluster
Solving complex, real-world problems with genetic programming (GP) can require extensive computing resources. However, the highly parallel nature of GP facilitates using a large n...
Kenneth Holladay
121
Voted
ITNG
2006
IEEE
15 years 9 months ago
Evaluating Parallel Computing Systems in Bioinformatics
The utilization of parallel processing in bioinformatics is a relatively new development, and wide spread use of parallel processing in this domain has been limited by the availab...
Erik S. Gough, Michael D. Kane
131
Voted
ICCS
2004
Springer
15 years 9 months ago
Evaluating the Performance of Skeleton-Based High Level Parallel Programs
We show in this paper how to evaluate the performance of skeleton-based high level parallel programs. Since many applications follow some commonly used algorithmic skeletons, we id...
Anne Benoit, Murray Cole, Stephen Gilmore, Jane Hi...
131
Voted
HPCC
2007
Springer
15 years 10 months ago
PARMI: A Publish/Subscribe Based Asynchronous RMI Framework for Cluster Computing
This paper presents a publish/subscribe based asynchronous remote method invocation framework (PARMI) aiming to improve performance and programming flexibility. PARMI enables high-...
Heejin Son, Xiaolin Li