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» Run-Time Techniques for Parallelizing Sparse Matrix Problems
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IRREGULAR
1995
Springer
9 years 7 months ago
Run-Time Techniques for Parallelizing Sparse Matrix Problems
Sparse matrix problems are di cult to parallelize e ciently on message-passing machines, since they access data through multiple levels of indirection. Inspector executor strategie...
Manuel Ujaldon, Shamik D. Sharma, Joel H. Saltz, E...
PARLE
1994
9 years 7 months ago
Run-Time Optimization of Sparse Matrix-Vector Multiplication on SIMD Machines
Sparse matrix-vector multiplication forms the heart of iterative linear solvers used widely in scientific computations (e.g., finite element methods). In such solvers, the matrix-v...
Louis H. Ziantz, Can C. Özturan, Boleslaw K. ...
IPPS
1996
IEEE
9 years 8 months ago
Efficient Run-Time Support for Irregular Task Computations with Mixed Granularities
Many irregular scientific computing problems can be modeled by directed acyclic task graphs (DAGs). In this paper, we present an efficient run-time system for executing general as...
Cong Fu, Tao Yang
HPCA
1998
IEEE
9 years 8 months ago
Hardware for Speculative Run-Time Parallelization in Distributed Shared-Memory Multiprocessors
Run-time parallelization is often the only way to execute the code in parallel when data dependence information is incomplete at compile time. This situation is common in many imp...
Ye Zhang, Lawrence Rauchwerger, Josep Torrellas
IPPS
1999
IEEE
9 years 8 months ago
Using Run-Time Predictions to Estimate Queue Wait Times and Improve Scheduler Performance
On many computers, a request to run a job is not serviced immediately but instead is placed in a queue and serviced only when resources are released by preceding jobs. In this pape...
Warren Smith, Valerie E. Taylor, Ian T. Foster
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