Brahma.FSharp: Power of Functional Programming to Create Portable GPGPU-Enabled .NET Applications

2026
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Authors: Nikolai Ponomarev; Vladimir Kutuev; Semyon Grigorev
Published in: Parallel Computing Technologies
Publisher: Springer Nature Switzerland

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Abstract

Brahma.FSharp is a tool that enables the utilization of GPGPUs in .NET applications, allowing developers to write both kernels and supporting code in pure F#. The text explores the integration of GPGPUs into .NET applications, highlighting the use of F#'s functional programming features for safe and efficient GPGPU integration. It demonstrates the tool's portability across various platforms and devices, showcasing its performance in image convolution and matrix multiplication. The evaluation section presents experimental results, comparing Brahma.FSharp with other tools like CLBlast and OpenBLAS. The conclusion discusses the tool's potential for future integration into libraries like Math.NET Numerics and the challenges of automatic memory management.

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previous chapter Composable Parallelism in Graph Processing

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Title: Brahma.FSharp: Power of Functional Programming to Create Portable GPGPU-Enabled .NET Applications
Authors: Nikolai Ponomarev
Vladimir Kutuev
Semyon Grigorev
Publisher: Springer Nature Switzerland
Book: Parallel Computing Technologies
Print ISBN: 978-3-032-06750-0

Electronic ISBN: 978-3-032-06751-7

Copyright Year: 2026
DOI: https://doi.org/10.1007/978-3-032-06751-7_4

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