Zobrazeno 1 - 10
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pro vyhledávání: '"Besard, Tim"'
Autor:
Utkarsh, Utkarsh, Churavy, Valentin, Ma, Yingbo, Besard, Tim, Srisuma, Prakitr, Gymnich, Tim, Gerlach, Adam R., Edelman, Alan, Barbastathis, George, Braatz, Richard D., Rackauckas, Christopher
Publikováno v:
Computer Methods in Applied Mechanics and Engineering, Volume 419, 2024
We demonstrate a high-performance vendor-agnostic method for massively parallel solving of ensembles of ordinary differential equations (ODEs) and stochastic differential equations (SDEs) on GPUs. The method is integrated with a widely used different
Externí odkaz:
http://arxiv.org/abs/2304.06835
Autor:
Utkarsh, Utkarsh, Churavy, Valentin, Ma, Yingbo, Besard, Tim, Srisuma, Prakitr, Gymnich, Tim, Gerlach, Adam R., Edelman, Alan, Barbastathis, George, Braatz, Richard D., Rackauckas, Christopher
Publikováno v:
In Computer Methods in Applied Mechanics and Engineering 1 February 2024 419
General Matrix Multiplication or GEMM kernels take centre place in high performance computing and machine learning. Recent NVIDIA GPUs include GEMM accelerators, such as NVIDIA's Tensor Cores. Their exploitation is hampered by the two-language proble
Externí odkaz:
http://arxiv.org/abs/2009.12263
We show how forward-mode automatic differentiation (AD) can be employed within larger reverse-mode computations to dynamically differentiate broadcast operations in a GPU-friendly manner. Our technique fully exploits the broadcast Jacobian's inherent
Externí odkaz:
http://arxiv.org/abs/1810.08297
GPUs and other accelerators are popular devices for accelerating compute-intensive, parallelizable applications. However, programming these devices is a difficult task. Writing efficient device code is challenging, and is typically done in a low-leve
Externí odkaz:
http://arxiv.org/abs/1712.03112
GPUs are popular devices for accelerating scientific calculations. However, as GPU code is usually written in low-level languages, it breaks the abstractions of high-level languages popular with scientific programmers. To overcome this, we present a
Externí odkaz:
http://arxiv.org/abs/1604.03410
Publikováno v:
In Advances in Engineering Software June 2019 132:29-46
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Akademický článek
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