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Distributed learning of CNNs on heterogeneous CPU/GPU architectures

Jose Marques, Gabriel Falcao, Luis A. Alexandre

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Tags: ATI, ATI Radeon HD 7500 M, CNN, Computer science, CUDA, Deep learning, Heterogeneous systems, Matlab, Neural networks, nVidia, nVidia GeForce GTX 840 M, nVidia GeForce GTX 940 M, nVidia GeForce GTX 950 M, OpenCL, Tesla K20

December 10, 2017 by hgpu

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high performance computing on graphics processing units: hgpu.org

Distributed learning of CNNs on heterogeneous CPU/GPU architectures

Recent source codes

Easy and Efficient Transformer: Scalable Inference Solution For large NLP mode

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MG-CFD OP2

Megatron

pharos: performance monitoring instrumentation for multi-FPGA systems

Efficient Video Compression via Content-Adaptive Super-Resolution

CUDA Modular Polynomial (CUMODP) Library

Energy-aware Task Scheduling with Deadline Constraint in DVFS-enabled Heterogeneous Clusters

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Featured events

9th International Workshop on OpenCL and SYCL, 2021

The 18th International Conference on High Performance Computing & Simulation (HPCS), 2020

The Fifth International Workshop on GPU Computing and AI (GCA), 2020

2nd International Conference on Frontiers of Intelligent Manufacturing and Automation (CFIMA’21), 2021

International Conference on Cyber Physical Systems and IoT (CPSIOT’20), 2020