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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

, 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

, 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

, 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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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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puzzlef/max-sequential-vs-cuda: Performance of sequential vs CUDA-based vector element max

, 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
core +1 more source

Поиск аномалий в сенсорных данных цифровой индустрии с помощью параллельных вычислений

Вестник Южно-Уральского государственного университета: Серия Вычислительная математика и информатика, 2023
В статье представлены результаты исследований по поиску аномалий в сенсорных данных из различных приложений цифровой индустрии. Рассматриваются временные ряды, полученные при эксплуатации деталей машин, показания датчиков, установленных на ...
Яна Александровна Краева
doaj +1 more source

Research of parallel global sea surface temperature contours extraction algorithm on CUDA platform(基于CUDA并行的全球海洋表面温度场等值线提取算法研究)

Zhejiang Daxue xuebao. Lixue ban, 2014
在分析GPU并行架构和CUDA灵活可编程性基础上，提出了一种基于区间块搜索的等值线并行提取方法，可应用于全球海洋表面温度格网数据的分析.算法有效减少了等值线追踪过程中重复性的格网遍历及不必要的格网搜索.最后，实验采用了不同规模的海表温度场格网数据进行等值线的提取并比较串并行耗时，结果表明：(1)算法能实现全球海洋表面温度等值线的有效提取并提高其效率，尤其对于大规模格网数据；(2)基于所有实验数据，格网规模大于720×1 440时，相较于串行过程GPU执行体现了其效率上的优势 ...
QIANChen(钱宸) +4 more
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Air Traffic Management Using a GPU-Accelerated Genetic Algorithm

Transport and Telecommunication, 2023
Air traffic management is becoming highly complex with the rapid increase in the number of commercial and cargo flights, leading to increased traffic congestion and flight delays.
Rampure Rahul +4 more
doaj +1 more source

GPU acceleration for statistical gene classification [PDF]

, 2010
The use of Bioinformatic tools in routine clinical diagnostics is still facing a number of issues. The more complex and advanced bioinformatic tools become, the more performance is required by the computing platforms.
Stefano Di Carlo +7 more
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gpu
parallel computing
gpgpu

fos: computer and information sciences
openmp
algorithm