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, 2023 <p>CUDA Quantum is now available <a href="https://pypi.org/project/cuda-quantum/">on PyPI</a>! For the initial PyPI release, the NVIDIA multi-gpu and tensornet backends are not yet included. Check out our Docker images <a href="https:
The CUDA Quantum development team
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buddhi1/GH-CUDA: GH-CUDA [PDF]
, 2023 Features Individual test cases can be executed using bash files Debug mode is added to see more information in the terminal Bug Fix Waiting at the start of the program bug fixed Full Changelog: https://github.com/buddhi1/GH-CUDA/compare/v1.1.2...v1.1.
Buddhi Ashan
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puzzlef/hello-cuda: A basic "Hello world" or "Hello CUDA" example to perform a number of operations on NVIDIA GPUs using CUDA [PDF]
, 2023 <p>A basic "Hello world" or "Hello CUDA" example to perform a number of operations on NVIDIA GPUs using <a href="https://docs.nvidia.com/cuda/index.html">CUDA</a>.</p> <blockquote> <p>You can just ...
Subhajit Sahu
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puzzlef/sum-sequential-vs-cuda: Performance of sequential vs CUDA-based vector element sum [PDF]
, 2022 Performance of sequential vs CUDA-based vector element sum. This experiment was for comparing the performance between: Find sum(x) using a single thread (sequential). Find sum(x) accelerated using CUDA (not power-of-2 reduce).
Subhajit Sahu
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puzzlef/max-sequential-vs-cuda: Performance of sequential vs CUDA-based vector element max [PDF]
, 2022 Performance of sequential vs CUDA-based vector element max. This experiment was for comparing the performance between: Find max(x) using a single thread (sequential). Find max(x) accelerated using CUDA (not power-of-2 reduce).
Subhajit Sahu
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puzzlef/pagerank-cuda: Switched thread/block-per-vertex CUDA-based PageRank (PR) algorithm [PDF]
, 2022 Switched thread/block-per-vertex CUDA-based PageRank (PR) algorithm (pull, CSR). All outputs are saved in out and a small part of the output is listed here. Some charts are also included below, generated from sheets.
Subhajit Sahu
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Zbornik radova Međimurskog veleučilišta u Čakovcu, 2010 CUDA je grafički procesor, nasljednik klasičnih vektorskih procesora. Procesor je izrađen od strane kompanije NVIDIA koja njime uvodi novi pojam, CUDA arhitektura. Procesor se sastoji od nekoliko stotina CUDA procesorskih jezgri i dozvoljava da i klasične aplikacije imaju mogućnost izvršavanja u paralelnom okruženju na grafičkom procesoru.
Trstenjak, Bruno +2 more
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NPB Benchmark Kernels for GPU with CUDA [PDF]
, 2020 NPB Benchmark Kernels for GPU with CUDA Reference Paper Citation [DOI] Araujo, G. A. ; Griebler, D. ; Danelutto, M. ; Fernandes, L. G. Efficient NAS Benchmark Kernels with CUDA.
Fernandes, Luiz Gustavo +2 more
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FASTCUDA: Open Source FPGA Accelerator & Hardware-Software Codesign Toolset for CUDA Kernels [PDF]
, 2012 Using FPGAs as hardware accelerators that communicate with a central CPU is becoming a common practice in the embedded design world but there is no standard methodology and toolset to facilitate this path yet.
I. Papaefstathiou +20 more
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ribesstefano/GPU-accelerated-Finite-Element-Method-using-Python-and-CUDA: Initial Release [PDF]
, 2023 <p>Initial release of the work done within the course <em>TRA105 - GPU-accelerated Computational Methods using Python and CUDA</em>, held at Chalmers University.</p> <p><strong>Full Changelog</strong>: <a href=
Kim Louisa Auth +2 more
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