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Optimizing GPU Volume Rendering

Daniel Ruijters, Anna Vilanova

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Tags: ATI, ATI FireGL X1, Computer science, nVidia, nVidia Quadro FX 3400, OpenGL, Rendering, Visualization

March 24, 2011 by hgpu

Digital beamforming using a GPU

Carl-Inge Colombo Nilsen, Ines Hafizovic

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

March 24, 2011 by hgpu

Accelerating Simulations of Light Scattering Based on Finite-Difference Time-Domain Method with General Purpose GPUs

A. Balevic, L. Rockstroh, A. Tausendfreund, S. Patzelt, G. Goch, S. Simon

Tags: Algorithms, CUDA, FDTD, Finite-difference time-domain, nVidia, Optics, Physics

March 24, 2011 by hgpu

Fast in-place sorting with CUDA based on bitonic sort

Hagen Peters, Ole Schulz-Hildebrandt, and Norbert Luttenberger

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Sorting

March 24, 2011 by hgpu

A GPU approach to FDTD for Radio Coverage Prediction

Alvaro Valcarce, Guillaume De La Roche, Jie Zhang

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Tags: CUDA, Electrodynamics, FDTD, Finite-difference time-domain, nVidia, nVidia GeForce 8600 M GT, Tesla C870

March 24, 2011 by hgpu

Modeling GPU-CPU Workloads and Systems

Andrew Kerr, Gregory Diamos, Sudhakar Yalamanchili

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Tags: Computer science, Heterogeneous systems, nVidia, nVidia GeForce 8600 GS, nVidia GeForce GTX 280, Performance, Task scheduling, Tesla C1060

March 23, 2011 by hgpu

Gvim: Gpu-accelerated virtual machines

Vishakha Gupta, Ada Gavrilovska, K. Schwan, Harshvardhan Kharche, Niraj Tolia, Vanish Talwar, Parthasarathy Ranganathan

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce 9800 GTX, Virtualization

March 23, 2011 by hgpu

GPU-Assisted Computation of Centroidal Voronoi Tessellation

Guodong Rong, Yang Liu, Wenping Wang, Xiaotian Yin, David Gu, Xiaohu Guo

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Tags: Cg, Computer science, nVidia, nVidia GeForce GTX 280, Visualization, Voronoi diagram

March 23, 2011 by hgpu

GPU Random Numbers via the Tiny Encryption Algorithm

Fahad Zafar, Marc Olano, Aaron Curtis

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8600 M GT, nVidia GeForce 9800 GT, Pseudo-random number generators

March 23, 2011 by hgpu

Aspects of GPU for general purpose high performance computing

Takayuki Aoki, Shoichi Hirasawa, Akira Nukada, Hiroki Honda, Satoshi Matsuoka

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Performance, Programming techniques, Task scheduling

March 23, 2011 by hgpu

Dense linear algebra solvers for multicore with GPU accelerators

Stanimire Tomov, Rajib Nath, Hatem Ltaief, Jack Dongarra

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Tags: Algorithms, Computer science, Linear Algebra, Matrix multiplication, nVidia, nVidia GeForce GTX 280, Package

March 23, 2011 by hgpu

GPU Accelerators for Evolvable Cellular Automata

Ludek Zaloudek, Lukas Sekanina, Vaclav Simek

Tags: Cellular automata, Computer science, CUDA, Genetic programming, nVidia

March 23, 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Optimizing GPU Volume Rendering

Digital beamforming using a GPU

Accelerating Simulations of Light Scattering Based on Finite-Difference Time-Domain Method with General Purpose GPUs

Fast in-place sorting with CUDA based on bitonic sort

A GPU approach to FDTD for Radio Coverage Prediction

Modeling GPU-CPU Workloads and Systems

Gvim: Gpu-accelerated virtual machines

GPU-Assisted Computation of Centroidal Voronoi Tessellation

GPU Random Numbers via the Tiny Encryption Algorithm

Aspects of GPU for general purpose high performance computing

Dense linear algebra solvers for multicore with GPU accelerators

GPU Accelerators for Evolvable Cellular Automata

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

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