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Skin disease diagnostics through federated transfer learning on heterogeneous data. [PDF]
Sci RepSharma S +4 more
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Impact of decoding strategies on GPU energy usage in large language model text generation. [PDF]
Sci RepNik A, Riegler MA, Halvorsen P.
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ON-NSW: Accelerating High-Dimensional Vector Search on Edge Devices with GPU-Optimized NSW. [PDF]
Sensors (Basel)Park T, Lee H, Na Y, Kim WH.
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Preserving provability over GPU program optimizations with annotation-aware transformations. [PDF]
Form Methods Syst DesŞakar Ö, Safari M, Huisman M, Wijs A.
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GeNePi: a graphics processing unit enhanced next-generation bioinformatics pipeline for whole-genome sequencing analysis. [PDF]
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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 +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 +5 more
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