Results 251 to 260 of about 28,341 (292)
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2016
Usage of General Purpose Graphics Processing Units (GPGPUs) in high-performance computing is increasing as heterogeneous systems continue to become dominant. CUDA had been the programming environment for nearly all such NVIDIA GPU based GPGPU applications.
Mayank Bhura +2 more
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Usage of General Purpose Graphics Processing Units (GPGPUs) in high-performance computing is increasing as heterogeneous systems continue to become dominant. CUDA had been the programming environment for nearly all such NVIDIA GPU based GPGPU applications.
Mayank Bhura +2 more
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MSA-CUDA: Multiple Sequence Alignment on Graphics Processing Units with CUDA
2009 20th IEEE International Conference on Application-specific Systems, Architectures and Processors, 2009Progressive alignment is a widely used approach for computing multiple sequence alignments (MSAs). However, aligning several hundred or thousand sequences with popular progressive alignment tools such as ClustalW requires hours or even days on state-of-the-art workstations.
Yongchao Liu 0004 +2 more
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Eighth ACM/IEEE International Conference on Formal Methods and Models for Codesign (MEMOCODE 2010), 2010
Michael Steffen +3 more
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Michael Steffen +3 more
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2014
A search of arbitrary shape image fragments with full-search template matching on CUDA is examined. Different approaches to search area caching in a multiprocessor???s memory are proposed and analyzed. Acceleration on GPU in comparison to CPU is evaluated. The proposed algorithms can be used to accelerate object tracking in video.
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A search of arbitrary shape image fragments with full-search template matching on CUDA is examined. Different approaches to search area caching in a multiprocessor???s memory are proposed and analyzed. Acceleration on GPU in comparison to CPU is evaluated. The proposed algorithms can be used to accelerate object tracking in video.
openaire +1 more source
2015
?????????????????? ???????????? ?????????????? ???????????????????? ?????????????????? ??????????????????????????????? ?????? ??????????????????-?????????????????? ?????????????????? CUDA. ???????????????? ???????????????????? ???????? ???????????? ?????????????????? ???? ?????????????????????????? ?? ???????????????????????? ?????????????????? ????????
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?????????????????? ???????????? ?????????????? ???????????????????? ?????????????????? ??????????????????????????????? ?????? ??????????????????-?????????????????? ?????????????????? CUDA. ???????????????? ???????????????????? ???????? ???????????? ?????????????????? ???? ?????????????????????????? ?? ???????????????????????? ?????????????????? ????????
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2019 IEEE/ACM International Symposium on Code Generation and Optimization (CGO), 2019
Ari B. Hayes +4 more
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Ari B. Hayes +4 more
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