high performance computing on graphics processing units: hgpu.org

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Performance models for CPU-GPU data transfers

B. van Werkhoven, J. Maassen, F.J. Seinstra, H.E. Bal

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Tags: Computer science, CUDA, nVidia GeForce GTX 680, nVidia GeForce GTX Titan, PCIe, Performance, Performance prediction, Tesla K20

June 5, 2014 by bennotsi

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high performance computing on graphics processing units: hgpu.org

Performance models for CPU-GPU data transfers

Recent source codes

TuneBench: Simple tunable OpenCL kernels for many-core accelerators

ZZGemmOoc: GPU GEMM out-of-core solvers

styletransfer: Real-time neural style transfer via meta networks

LM-LSTM-CRF: Efficient and Effective: Empower Sequence Labeling with Task-Aware Language Model

End-to-end Deep Learning of Optimization Heuristics

Harp-DAAL: A collective communication library plugined into Hadoop from Indiana University

Real-Time Rendering of Molecular Dynamics Simulation Data: A Tutorial

eccCL: Parallelized GPU implementation of Ensemble Classifier Chains

Scaling Deep Learning on GPU and Knights Landing clusters

Gpufit: GPU-accelerated Levenberg-Marquardt curve fitting in CUDA

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Featured events

The 2nd International Conference on Machine Learning and Soft Computing (ICMLSC), 2018

10th International Conference on Computer and Automation Engineering (ICCAE), 2018

The 2nd International Conference on Mechanical, Aeronautical and Automotive Engineering (ICMAA), 2018

The 2nd International Conference on Cryptography, Security and Privacy (ICCSP), 2018

The 3rd International Conference on Multimedia and Image Processing (ICMIP), 2018