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IPPS
1999
IEEE
13 years 8 months ago
Run-Time Selection of Block Size in Pipelined Parallel Programs
Parallelizing compiler technology has improved in recent years. One area in which compilers have made progress is in handling DOACROSS loops, where crossprocessor data dependencie...
David K. Lowenthal, Michael James
IPPS
1998
IEEE
13 years 8 months ago
Predicting the Running Times of Parallel Programs by Simulation
Predicting the running time of a parallel program is useful for determining the optimal values for the parameters of the implementation and the optimal mapping of data on processo...
Radu Rugina, Klaus E. Schauser
ISCAPDCS
2004
13 years 5 months ago
FG: A Framework Generator for Hiding Latency in Parallel Programs Running on Clusters
FG is a programming environment for asynchronous programs that run on clusters and fit into a pipeline framework. It enables the programmer to write a series of synchronous functi...
Thomas H. Cormen, Elena Riccio Davidson
HPCA
2009
IEEE
14 years 5 months ago
Versatile prediction and fast estimation of Architectural Vulnerability Factor from processor performance metrics
The shrinking processor feature size, lower threshold voltage and increasing clock frequency make modern processors highly vulnerable to transient faults. Architectural Vulnerabil...
Lide Duan, Bin Li, Lu Peng
PLDI
2009
ACM
13 years 11 months ago
PetaBricks: a language and compiler for algorithmic choice
It is often impossible to obtain a one-size-fits-all solution for high performance algorithms when considering different choices for data distributions, parallelism, transformati...
Jason Ansel, Cy P. Chan, Yee Lok Wong, Marek Olsze...