Asim YarKhan
University of Tennessee, Knoxville, Knoxville, TN
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New Grid Scheduling and Rescheduling Methods in the GrADS Project
International Journal of Parallel Programming, vol. 33,no. 2-3,2005 – IJPP
The goal of the Grid Application Development Software (GrADS) Project is to provide programming tools and an execution environment to ease program development for the Grid. This paper presents recent extensions to the GrADS software framework: a new ...
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Dynamic task scheduling for linear algebra algorithms on distributed-memory multicore systems
2009 International Conference for High Performance Computing, Networking, Storage and Analysis, 2009 – SC
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Dynamic task scheduling for linear algebra algorithms on distributed-memory multicore systems
2009 International Conference for High Performance Computing, Networking, Storage and Analysis, 2009 – SC
This paper presents a dynamic task scheduling approach to executing dense linear algebra algorithms on multicore systems (either shared-memory or distributed-memory). We use a task-based library to replace the existing linear algebra subroutines such ...
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New Grid Scheduling and Rescheduling Methods in the GrADS Project
18th International Parallel and Distributed Processing Symposium (IPDPS 2004), 2004 – IPDPS
The goal of the Grid Application Development Software (GrADS) Project is to provide programming tools and an execution environment to ease program development for the Grid. This paper presents recent extensions to the GrADS software framework: (1) A ...
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VGrADS: enabling e-Science workflows on grids and clouds with fault tolerance
2009 International Conference for High Performance Computing, Networking, Storage and Analysis, 2009 – SC
Today's scientific workflows use distributed heterogeneous resources through diverse grid and cloud interfaces that are often hard to program. In addition, especially for time-sensitive critical applications, predictable quality of service is ...
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NetSolve: Grid enabling scientific computing environments
Grid Computing: The New Frontier of High Performance Computing , HPC 2004, vol. 14,2005 – High Performance Computing Workshop
The purpose of NetSolve is to create the middleware necessary to provide a seamless bridge between the simple, standard programming interfaces and desktop systems that dominate the work of computational scientists and the rich supply of services ...
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Experiments with Scheduling Using Simulated Annealing in a Grid Environment
Grid Computing - GRID 2002, Third International Workshop, vol. 2536,2002 – Grid
Generating high quality schedules for distributed applications on a Computational Grid is a challenging problem.
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Biological sequence alignment on the computational grid using the GrADS framework
Future Generation Computer Systems, vol. 21,no. 6,2005 – FGCS
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Parallel implementation of an integrated edge-preserving smoothing algorithm in clusters of workstations
ACM Southeast Regional Conference 1998, 1998 – ACMSE
An iterative, adaptive image smoothing algoritluu may he timexcmsumhg for a large amount of remotely sensed images. Because of the high computational cost of this type of algorithm, it is essential for the algorithm to be implemented and evaluated in ...
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VGrADS: enabling e-Science workflows on grids and clouds with fault tolerance
2009 International Conference for High Performance Computing, Networking, Storage and Analysis, 2009 – SC
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