Load-Balanced Fortran-Based Out-of-GPU Memory Implementation of the Method of Moments
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Antennas and Wireless Propagation Letters"
DOI: 10.1109/lawp.2016.2605042
Abstract: In this letter, an efficient Fortran-based out-of-graphics processing unit (GPU) memory implementation of the method of moments (MoM) on heterogeneous low-cost single CPU/GPU computing platform is presented. The MoM solution process is based on the… read more here.
Keywords: gpu memory; implementation; fortran based; memory implementation ... See more keywords
HOME: A Holistic GPU Memory Management Framework for Deep Learning
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DOI: 10.1109/tc.2022.3180991
Abstract: We propose HOlistic MEmory management (HOME), a new framework for performing tensor placements in large DNN training when GPU memory space is not enough. HOME combines tensor swapping with tensor recomputation to reduce GPU memory… read more here.
Keywords: gpu memory; memory management; framework; memory ... See more keywords
VCSR: An Efficient GPU Memory-aware Sparse Format
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DOI: 10.1109/tpds.2022.3177291
Abstract: The Sparse Matrix-Vector Multiplication (SpMV) kernel is used in a broad class of linear algebra computations. SpMV computations result in a performance bottleneck in many high performance applications, so optimizing SpMV performance is paramount. While… read more here.
Keywords: sparse format; gpu memory; efficient gpu; vcsr efficient ... See more keywords