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JRTIP
2008
77views more  JRTIP 2008»
13 years 8 months ago
MinGPU: a minimum GPU library for computer vision
In the field of computer vision, it is becoming increasingly popular to implement algorithms, in sections or in their entirety, on a graphics processing unit (GPU). This is due to ...
Pavel Babenko, Mubarak Shah
CORR
2011
Springer
199views Education» more  CORR 2011»
13 years 3 months ago
Fast Sparse Matrix-Vector Multiplication on GPUs: Implications for Graph Mining
Scaling up the sparse matrix-vector multiplication kernel on modern Graphics Processing Units (GPU) has been at the heart of numerous studies in both academia and industry. In thi...
Xintian Yang, Srinivasan Parthasarathy, Ponnuswamy...
ICASSP
2008
IEEE
14 years 2 months ago
Analyzing the scalability of SIMD for the next generation software defined radio
Previous studies have shown that wireless DSP algorithms exhibit high levels of data level parallelism (DLP). Commercial and research work in the field of software defined radio...
Mark Woh, Yuan Lin, Sangwon Seo, Trevor N. Mudge, ...
ICPADS
2010
IEEE
13 years 6 months ago
Data-Aware Task Scheduling on Multi-accelerator Based Platforms
To fully tap into the potential of heterogeneous machines composed of multicore processors and multiple accelerators, simple offloading approaches in which the main trunk of the ap...
Cédric Augonnet, Jérôme Clet-O...
ICDCS
2009
IEEE
14 years 5 months ago
Pushing the Envelope: Extreme Network Coding on the GPU
While it is well known that network coding achieves optimal flow rates in multicast sessions, its potential for practical use has remained to be a question, due to its high compu...
Hassan Shojania, Baochun Li