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MATLAB Parallelization through Scalarization

Chun-Yu Shei, Adarsh Yoga, Madhav Ramesh, Arun Chauhan

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Tags: Compilers, Computer science, CUDA, nVidia, Performance, Tesla C1060

July 11, 2011 by hgpu

GPU-accelerated MoM-based broadband simulations using Stoer-Bulirsch algorithm

Andrzej Karwowski, Artur Noga, Tomasz Topa

Tags: CUDA, Electrodynamics, Integral equations, nVidia

July 11, 2011 by hgpu

Parallelizing of digital signal processing with using GPU

Wojciech Bozejko, Andrzej Dobrucki, Maciej Walczynski

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Tags: Algorithms, CUDA, nVidia, nVidia GeForce 9600 M GS, nVidia GeForce GTX 295, nVidia GeForce GTX 480, Signal processing, Tesla C870

July 11, 2011 by hgpu

Implementation of large-scale FIR adaptive filters on NVIDIA GeForce graphics processing unit

Akihiro Hirano, Kenji Nakayama

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Tags: Computer science, CUDA, Filtering, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce 9400 M

July 11, 2011 by hgpu

Accelerating Lossless Data Compression with GPUs

R. L. Cloud, M. L. Curry, H. L. Ward, A. Skjellum, P. Bangalore

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Tags: Algorithms, Compression, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Performance

July 11, 2011 by hgpu

Testing Tesla architecture for scientific computing: The performance of matrix-vector product

Pawel Maciol, Krzysztof Banas

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Tags: Computer science, CUDA, Linear Algebra, Matrix multiplication, nVidia, nVidia GeForce 8800 GTX, Performance, Tesla C870

July 10, 2011 by hgpu

Many-core parallel computing – Can compilers and tools do the heavy lifting?

W.-m.W. Hwu

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Tags: Compilers, Computer science, CUDA, Image processing, nVidia, Presentation, Review

July 10, 2011 by hgpu

Study on acceleration technique for calculating near field of horn antenna based on GPU

Xiang Su, Zhensen Wu, Zanqin Jiang, Xiaobing Wang

Tags: CUDA, Electrodynamics, Microwave engineering, nVidia

July 10, 2011 by hgpu

Implementation of stereophonic acoustic echo canceller on nVIDIA GeForce graphics processing unit

A. Hirano, K. Nakayama

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Tags: Acoustics, CUDA, nVidia, nVidia GeForce 8800 GTS, Signal processing

July 10, 2011 by hgpu

Implementation of usual computerized tomography methods on GPU using the Compute Unified Device Architecture (CUDA)

Benoit Recur, Pascal Desbarats, Jean-Philippe Domenger

Tags: CUDA, Image processing, Medicine, nVidia, Tomography

July 9, 2011 by hgpu

GPU implementation of volume reconstruction and object detection in Digital Holographic Microscopy

Laszlo Orzo, Zoltan Gorocs, Istvan Szatmari, Szabolcs Tokes

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Tags: Computer holography, CUDA, Microscopy, nVidia, nVidia GeForce 8800 GTX, Optics, Physics

July 9, 2011 by hgpu

Numerical Parallel Processing Based on GPU with CUDA Architecture

Chengming Zou, Chunfen Xia, Guanghui Zhao

Tags: Algorithms, Computer science, CUDA, Linear Algebra, Matrix inversion, nVidia

July 9, 2011 by hgpu

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels

KernelGYM & Dr. Kernel: A distributed GPU environment and a collection of RL training methods to support RL for Kernel Generations

Dr. Kernel: Reinforcement Learning Done Right for Triton Kernel Generations

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Generating Literature-Driven Scientific Theories at Scale

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Nsight Python: A Python-First Profiling Toolkit for Seamless GPU Kernel Analysis (Tool)

Awesome LLM-Driven Kernel Generation

Towards Automated Kernel Generation in the Era of LLMs

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high performance computing on graphics processing units: hgpu.org

Programming

MATLAB Parallelization through Scalarization

GPU-accelerated MoM-based broadband simulations using Stoer-Bulirsch algorithm

Parallelizing of digital signal processing with using GPU

Implementation of large-scale FIR adaptive filters on NVIDIA GeForce graphics processing unit

Accelerating Lossless Data Compression with GPUs

Testing Tesla architecture for scientific computing: The performance of matrix-vector product

Many-core parallel computing – Can compilers and tools do the heavy lifting?

Study on acceleration technique for calculating near field of horn antenna based on GPU

Implementation of stereophonic acoustic echo canceller on nVIDIA GeForce graphics processing unit

Implementation of usual computerized tomography methods on GPU using the Compute Unified Device Architecture (CUDA)

GPU implementation of volume reconstruction and object detection in Digital Holographic Microscopy

Numerical Parallel Processing Based on GPU with CUDA Architecture

Recent source codes

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels

KernelGYM & Dr. Kernel: A distributed GPU environment and a collection of RL training methods to support RL for Kernel Generations

Vortex-Optimized Light-weight Toolchain (VOLT)

SciDef: Automated Definition Extraction from Scientific Literature

bioagent-bench: Benchmark for evaluating LLM agents in bioinformatics

Benchmark suite for LLM inference on NVIDIA consumer GPUs

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Awesome LLM-Driven Kernel Generation

Most viewed papers (last 30 days)