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» Impact of Parallel Workloads on NoC Architecture Design
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ISPASS
2009
IEEE
14 years 2 months ago
Analyzing CUDA workloads using a detailed GPU simulator
Modern Graphic Processing Units (GPUs) provide sufficiently flexible programming models that understanding their performance can provide insight in designing tomorrow’s manyco...
Ali Bakhoda, George L. Yuan, Wilson W. L. Fung, He...
IEEEPACT
2003
IEEE
14 years 24 days ago
Compilation, Architectural Support, and Evaluation of SIMD Graphics Pipeline Programs on a General-Purpose CPU
Graphics and media processing is quickly emerging to become one of the key computing workloads. Programmable graphics processors give designers extra flexibility by running a sma...
Mauricio Breternitz Jr., Herbert H. J. Hum, Sanjee...
WSC
1997
13 years 8 months ago
Execution-Driven Simulators for Parallel Systems Design
Evaluating, analyzing and predicting the performance of a parallel system is challenging due to the complex inter-play between the application characteristics and architectural fe...
Anand Sivasubramaniam
ISCA
1998
IEEE
129views Hardware» more  ISCA 1998»
13 years 11 months ago
Memory System Characterization of Commercial Workloads
Commercial applications such as databases and Web servers constitute the largest and fastest-growing segment of the market for multiprocessor servers. Ongoing innovations in disk ...
Luiz André Barroso, Kourosh Gharachorloo, E...
ISCA
1998
IEEE
151views Hardware» more  ISCA 1998»
13 years 11 months ago
Integrated Predicated and Speculative Execution in the IMPACT EPIC Architecture
Explicitly Parallel Instruction Computing (EPIC) architectures require the compiler to express program instruction level parallelism directly to the hardware. EPIC techniques whic...
David I. August, Daniel A. Connors, Scott A. Mahlk...