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» Compress-and-conquer for optimal multicore computing
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IPPS
2010
IEEE
15 years 4 months ago
Servet: A benchmark suite for autotuning on multicore clusters
Abstract--The growing complexity in computer system hierarchies due to the increase in the number of cores per processor, levels of cache (some of them shared) and the number of pr...
Jorge González-Domínguez, Guillermo ...
274
Voted
ASPLOS
2009
ACM
16 years 7 months ago
Optimization of tele-immersion codes
As computational power increases, tele-immersive applications are an emerging trend. These applications make extensive demands on computational resources through their heavy use o...
Albert Sidelnik, I-Jui Sung, Wanmin Wu, Marí...
150
Voted
ISCA
2010
IEEE
405views Hardware» more  ISCA 2010»
15 years 11 months ago
Debunking the 100X GPU vs. CPU myth: an evaluation of throughput computing on CPU and GPU
Recent advances in computing have led to an explosion in the amount of data being generated. Processing the ever-growing data in a timely manner has made throughput computing an i...
Victor W. Lee, Changkyu Kim, Jatin Chhugani, Micha...
152
Voted
CASES
2009
ACM
16 years 26 days ago
A platform for developing adaptable multicore applications
Computer systems are resource constrained. Application adaptation is a useful way to optimize system resource usage while satisfying the application performance constraints. Previ...
Dan Fay, Li Shang, Dirk Grunwald
161
Voted
HPCS
2009
IEEE
15 years 10 months ago
FFT-Based Dense Polynomial Arithmetic on Multi-cores
We report efficient implementation techniques for FFT-based dense multivariate polynomial arithmetic over finite fields, targeting multi-cores. We have extended a preliminary study...
Marc Moreno Maza, Yuzhen Xie