Scientific Computing – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-03-26T22:01:23Z http://www.open-lab.net/blog/feed/ Joseph Chandler <![CDATA[ICYMI: Leveraging the Power of GPUs with CuPy in Python]]> http://www.open-lab.net/blog/?p=72637 2023-11-16T19:16:47Z 2023-11-06T19:17:06Z See how KDNuggets achieved 500x speedup using CuPy and NVIDIA CUDA on 3D arrays.]]> See how KDNuggets achieved 500x speedup using CuPy and NVIDIA CUDA on 3D arrays.Written text:

See how KDNuggets achieved 500x speedup using CuPy and NVIDIA CUDA on 3D arrays.

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]]> 0 Tom Gibbs <![CDATA[AI for a Scientific Computing Revolution]]> http://www.open-lab.net/blog/?p=65195 2023-07-27T21:28:50Z 2023-05-26T16:26:00Z AI and its newest subdomain generative AI are dramatically accelerating the pace of change in scientific computing research. From pharmaceuticals and materials...]]> AI and its newest subdomain generative AI are dramatically accelerating the pace of change in scientific computing research. From pharmaceuticals and materials...Decorative image of a sphere of cool white light with internal spheres of warm light.

AI and its newest subdomain generative AI are dramatically accelerating the pace of change in scientific computing research. From pharmaceuticals and materials science to astronomy, this game-changing technology is opening up new possibilities and driving progress at an unprecedented rate. In this post, we explore some new and exciting applications of generative AI in science��

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]]> 2 Brent Leback <![CDATA[Tensor Core Programming Using CUDA Fortran]]> http://www.open-lab.net/blog/?p=14140 2023-02-13T17:46:24Z 2019-04-02T13:00:36Z The CUDA Fortran compiler from PGI now supports programming Tensor Cores with NVIDIA��s Volta V100 and Turing GPUs. This enables scientific programmers using...]]> The CUDA Fortran compiler from PGI now supports programming Tensor Cores with NVIDIA��s Volta V100 and Turing GPUs. This enables scientific programmers using...

The CUDA Fortran compiler from PGI now supports programming Tensor Cores with NVIDIA��s Volta V100 and Turing GPUs. This enables scientific programmers using Fortran to take advantage of FP16 matrix operations accelerated by Tensor Cores. Let��s take a look at how Fortran supports Tensor Cores. Tensor Cores offer substantial performance gains over typical CUDA GPU core programming on Tesla V100��

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]]> 0 Geetika Gupta <![CDATA[Using Tensor Cores for Mixed-Precision Scientific Computing]]> http://www.open-lab.net/blog/?p=13346 2022-08-21T23:39:18Z 2019-01-23T14:00:44Z Double-precision floating point?(FP64) has been the de facto standard for doing scientific simulation for several decades. Most numerical methods used in...]]> Double-precision floating point?(FP64) has been the de facto standard for doing scientific simulation for several decades. Most numerical methods used in...

Double-precision floating point (FP64) has been the de facto standard for doing scientific simulation for several decades. Most numerical methods used in engineering and scientific applications require the extra precision to compute correct answers or even reach an answer. However, FP64 also requires more computing resources and runtime to deliver the increased precision levels.

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