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FastPCA: An R package for fast singular value decomposition. [PDF]
J Open Source SoftwWard KR +5 more
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An efficient strategy for fine-tuning large language models. [PDF]
Front Artif IntellMarsh B +4 more
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Green AI architectures: Navigating the security-sustainability paradox in critical infrastructure protection. [PDF]
Environ Sci EcotechnolLee J +3 more
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GPU-to-GPU and Host-to-Host Multipattern String Matching on a GPU
IEEE Transactions on Computers, 2013We develop GPU adaptations of the Aho-Corasick and multipattern Boyer-Moore string matching algorithms for the two cases GPU-to-GPU (input to the algorithms is initially in GPU memory and the output is left in GPU memory) and host-to-host (input and output are in the memory of the host CPU). For the GPU-to-GPU case, we consider several refinements to a
Sartaj Sahni
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DO-GPU: Domain Optimizable Soft GPUs
2021 31st International Conference on Field-Programmable Logic and Applications (FPL), 2021”Soft” GPUs are overlays that implement GPGPU-like data parallel processor architectures in FPGA logic to make FPGAs as software-programmable as ”hard” GPGPUs. Unlike hard GPUs, soft GPU architectures can be specialized to further improve efficiency by leveraging FPGA’s flexibility.
Rui Ma 0021 +7 more
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MVAPICH2-GPU: optimized GPU to GPU communication for InfiniBand clusters
Computer Science - Research and Development, 2011Data parallel architectures, such as General Purpose Graphics Units (GPGPUs) have seen a tremendous rise in their application for High End Computing. However, data movement in and out of GPGPUs remain the biggest hurdle to overall performance and programmer productivity.
Hao Wang 0002 +5 more
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Journal of Real-Time Image Processing, 2018
Superpixel segmentation is a fundamental task in computer vision. Existing works contribute to superpixel segmentation either by improving segmentation accuracy or by reducing execution time. The former modifies existing models or develops new models to improve accuracy. The latter accelerates existing implementations or reduces algorithm complexity to
Zhihua Ban +2 more
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Superpixel segmentation is a fundamental task in computer vision. Existing works contribute to superpixel segmentation either by improving segmentation accuracy or by reducing execution time. The former modifies existing models or develops new models to improve accuracy. The latter accelerates existing implementations or reduces algorithm complexity to
Zhihua Ban +2 more
openaire +1 more source