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» Complexity and Performance in Parallel Programming Languages
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PLDI
2011
ACM
12 years 11 months ago
Automatic CPU-GPU communication management and optimization
The performance benefits of GPU parallelism can be enormous, but unlocking this performance potential is challenging. The applicability and performance of GPU parallelizations is...
Thomas B. Jablin, Prakash Prabhu, James A. Jablin,...
IPPS
2006
IEEE
14 years 2 months ago
Performance analysis of Java concurrent programming: a case study of video mining system
As multi/many core processors become prevalent, programming language is important in constructing efficient parallel applications. In this work, we build a multithreaded video min...
Wenlong Li, Eric Li, Ran Meng, Tao Wang, Carole Du...
PLDI
2010
ACM
14 years 1 months ago
Supporting speculative parallelization in the presence of dynamic data structures
The availability of multicore processors has led to significant interest in compiler techniques for speculative parallelization of sequential programs. Isolation of speculative s...
Chen Tian, Min Feng, Rajiv Gupta
ISSAC
2007
Springer
128views Mathematics» more  ISSAC 2007»
14 years 2 months ago
Productivity and performance using partitioned global address space languages
Partitioned Global Address Space (PGAS) languages combine the programming convenience of shared memory with the locality and performance control of message passing. One such langu...
Katherine A. Yelick, Dan Bonachea, Wei-Yu Chen, Ph...
ISSTA
2006
ACM
14 years 2 months ago
Using model checking with symbolic execution to verify parallel numerical programs
We present a method to verify the correctness of parallel programs that perform complex numerical computations, including computations involving floating-point arithmetic. The me...
Stephen F. Siegel, Anastasia Mironova, George S. A...