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» Techniques for obtaining high performance in Java programs
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128
Voted
IPPS
2000
IEEE
15 years 8 months ago
Combining Fusion Optimizations and Piecewise Execution of Nested Data-Parallel Programs
Abstract. Nested data-parallel programs often have large memory requirements due to their high degree of parallelism. Piecewise execution is an implementation technique used to min...
W. Pfannenstiel
132
Voted
PPOPP
2009
ACM
16 years 4 months ago
Parallelization spectroscopy: analysis of thread-level parallelism in hpc programs
In this paper, we present a thorough analysis of thread-level parallelism available in production High Performance Computing (HPC) codes. We survey a number of techniques that are...
Arun Kejariwal, Calin Cascaval
120
Voted
RTSS
2008
IEEE
15 years 10 months ago
Merging State and Preserving Timing Anomalies in Pipelines of High-End Processors
Many embedded systems are subject to temporal constraints that require advance guarantees on meeting deadlines. Such systems rely on static analysis to safely bound worst-case exe...
Sibin Mohan, Frank Mueller
ICPP
1999
IEEE
15 years 7 months ago
A Framework for Interprocedural Locality Optimization Using Both Loop and Data Layout Transformations
There has been much work recently on improving the locality performance of loop nests in scientific programs through the use of loop as well as data layout optimizations. However,...
Mahmut T. Kandemir, Alok N. Choudhary, J. Ramanuja...
126
Voted
ICFP
1999
ACM
15 years 7 months ago
Atomic Heap Transactions and Fine-grain Interrupts
Languages such as Java, ML, Scheme, and Haskell provide automatic storage management, that is, garbage collection. The two fundamental operations performed on a garbagecollected h...
Olin Shivers, James W. Clark, Roland McGrath