high performance computing on graphics processing units: hgpu.org

hgpu.org » nVidia

Hierarchical Line Integration

Marcel Hlawatsch, Filip Sadlo, Daniel Weiskopf

Tags: Algorithms, CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 260, Visualization

June 25, 2011 by hgpu

Simulation of shallow water based on shader

Nan He, Jun Chen

Tags: Cg, Computer science, nVidia, Rendering

June 25, 2011 by hgpu

Acceleration of PET Monte Carlo simulation using the graphics hardware ray-tracing engine

Zhiguang Wang, Peter. D. Olcott, Craig S. Levin

Tags: Computer science, Image reconstruction, nVidia, nVidia GeForce GTX 285, PET, Raytracing

June 25, 2011 by hgpu

Accelerating Regular LDPC Code Decoders on GPUs

C.-C. Chang, Y.-L. Chang, M.-Y. Huang, B. Huang

Tags: Computer science, CUDA, nVidia, Parity-check codes, Sensing

June 25, 2011 by hgpu

High-speed parallel wavelet algorithm based on CUDA and its application in three-dimensional surface texture analysis

Wang Jianjun, Lu Wenlong, Liu Xiaojun, Jiang Xiangqian

Tags: Algorithms, Computer science, CUDA, Image processing, nVidia, Wavelet

June 25, 2011 by hgpu

Real-time 3D reconstruction for mobile robot using catadioptric cameras

Romain Rossi, Xavier Savatier, Jean-Yves Ertaud, Belahcene Mazari

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Tags: CUDA, Image processing, Image reconstruction, nVidia, nVidia GeForce 8800 GTS

June 25, 2011 by hgpu

Fast cell detection in high-throughput imagery using GPU-accelerated machine learning

David Mayerich, Jaerock Kwon, Aaron Panchal, John Keyser, Yoonsuck Choe

Tags: Biology, Image processing, Machine learning, nVidia

June 24, 2011 by hgpu

Accelerating Smith-Waterman on Heterogeneous CPU-GPU Systems

Jaideep Singh, Ipseeta Aruni

Tags: Bioinformatics, Biology, CUDA, Heterogeneous systems, nVidia, Smith-Waterman algorithm

June 24, 2011 by hgpu

Optimization of a GPU Implementation of Multi-Dimensional RF Pulse Design Algorithm

Wei Cai, Xiangrong Zhou, Xuelin Cui

Tags: Image reconstruction, Medicine, MRI, nVidia, Optimization, Tesla C1060

June 24, 2011 by hgpu

Implementation of a Soft Morphological Filter Based on GPU Framework

Lipeng Wang, Hanbin Wang

Tags: Computer science, CUDA, Filtering, nVidia

June 24, 2011 by hgpu

An algorithm for efficient computation of spatial impulse response on the GPU with application in ultrasound simulation

Ramtin Shams, Florian Luna, Richard I. Hartley

Tags: Algorithms, CUDA, Medicine, nVidia, Ultrasound

June 24, 2011 by hgpu

Design and implementation of a time-division multiplexing scan architecture using serializer and deserializer in GPU chips

Amit Sanghani, Bo Yang, Karthikeyan Natarajan, Chunsheng Liu

Tags: Computer science, Electronic design automation, Hardware Architecture, nVidia

June 24, 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

Hierarchical Line Integration

Simulation of shallow water based on shader

Acceleration of PET Monte Carlo simulation using the graphics hardware ray-tracing engine

Accelerating Regular LDPC Code Decoders on GPUs

High-speed parallel wavelet algorithm based on CUDA and its application in three-dimensional surface texture analysis

Real-time 3D reconstruction for mobile robot using catadioptric cameras

Fast cell detection in high-throughput imagery using GPU-accelerated machine learning

Accelerating Smith-Waterman on Heterogeneous CPU-GPU Systems

Optimization of a GPU Implementation of Multi-Dimensional RF Pulse Design Algorithm

Implementation of a Soft Morphological Filter Based on GPU Framework

An algorithm for efficient computation of spatial impulse response on the GPU with application in ultrasound simulation

Design and implementation of a time-division multiplexing scan architecture using serializer and deserializer in GPU chips

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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