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» High-Performance Software Rasterization on GPUs
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ASPLOS
2011
ACM
12 years 7 months ago
Sponge: portable stream programming on graphics engines
Graphics processing units (GPUs) provide a low cost platform for accelerating high performance computations. The introduction of new programming languages, such as CUDA and OpenCL...
Amir Hormati, Mehrzad Samadi, Mark Woh, Trevor N. ...
CISIS
2011
IEEE
12 years 3 months ago
Improving Scheduling Techniques in Heterogeneous Systems with Dynamic, On-Line Optimisations
—Computational performance increasingly depends on parallelism, and many systems rely on heterogeneous resources such as GPUs and FPGAs to accelerate computationally intensive ap...
Marcin Bogdanski, Peter R. Lewis, Tobias Becker, X...
ESTIMEDIA
2009
Springer
13 years 10 months ago
Software parallel CAVLC encoder based on stream processing
—Real-time encoding of high-definition H.264 video is a challenge to current embedded programmable processors. Emerging stream processing methods supported by most GPUs and progr...
Ju Ren, Yi He, Wei Wu, Mei Wen, Nan Wu, Chunyuan Z...
FCCM
2011
IEEE
241views VLSI» more  FCCM 2011»
12 years 7 months ago
Multilevel Granularity Parallelism Synthesis on FPGAs
— Recent progress in High-Level Synthesis (HLS) es has helped raise the abstraction level of FPGA programming. However implementation and performance evaluation of the HLS-genera...
Alexandros Papakonstantinou, Yun Liang, John A. St...
ISCA
2010
IEEE
232views Hardware» more  ISCA 2010»
13 years 2 months ago
Evolution of thread-level parallelism in desktop applications
As the effective limits of frequency and instruction level parallelism have been reached, the strategy of microprocessor vendors has changed to increase the number of processing ...
Geoffrey Blake, Ronald G. Dreslinski, Trevor N. Mu...