high performance computing on graphics processing units: hgpu.org

Programming

Fast Parallel Machine Learning Algorithms for Large Datasets Using Graphic Processing Unit

Qi Li

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Tags: Algorithms, Benchmarking, Computer science, CUDA, Machine learning, Nearest neighbour, nVidia, Optimization, Sorting, Tesla C1060, Tesla C2050, Tesla C2070, Thesis

December 26, 2011 by hgpu

Designing Fast Architecture Sensitive Tree Search on Modern Multi-Core/Many-Core Processors

Changkyu Kim, Jatin Chhugani, Nadathur Satish, Eric Sedlar, Anthony D. Nguyen, Tim Kaldewey, Victor W. Lee, Scott A. Brandt, Pradeep Dubey

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Tags: Compression, Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 280, Search, Tesla C2050

December 25, 2011 by hgpu

Turbo Bayesian Compressed Sensing

Depeng Yang

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Tags: Algorithms, Bayesian, Computer science, CUDA, FPGA, nVidia, nVidia GeForce GTX 480, Sensing, Signal processing

December 25, 2011 by hgpu

Modeling Parallel Programs for Heterogeneous Computing

Ferosh Jacob

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Performance

December 25, 2011 by hgpu

Methodology of control and supervision of web connected mobile robots with CUDA technology application

Janusz Bedkowski, Andrzej Maslowski

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Tags: Algorithms, Artificial intelligence, Computer science, CUDA, nVidia, nVidia GeForce 9800 GX2, nVidia GeForce GTX 280, nVidia Quadro FX 1600 M, nVidia Quadro FX 3700

December 25, 2011 by hgpu

Accelerating linear system solutions using randomization techniques

Marc Baboulin, Jack Dongarra, Julien Herrmann, Stanimire Tomov

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Tags: Computer science, CUDA, Factorization, Linear Algebra, nVidia, Tesla C2050

December 25, 2011 by hgpu

G-CP: Providing Fault Tolerance on the GPU through Software Checkpointing

Felix Loh, Matt Sinclair

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Tags: Algorithms, Computer science, CUDA, Fault tolerance, nVidia, Tesla C1060

December 25, 2011 by hgpu

Design and Development of Optical Flow Based Obstacle Avoidance Using CUDA

S. Jeevith , N.D. Gangadhar, S. Santhosh Kumar

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, Optical flow

December 25, 2011 by hgpu

GPU-Parallel Implementation of Color based Medical Image Retrieval in Compressed Domain

Kuldeep Yadav, Avi Srivastava, M. A. Ansari

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce 9500 GT

December 25, 2011 by hgpu

Parallel Implementation of Shape based Image Retrieval Approach on CUDA in Compressed Domain

Kuldeep Yadav, Avi Srivastava, Ankush Mittal, M. A. Ansari

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce 9500 GT

December 25, 2011 by hgpu

A GPU-supported High-Level Programming Language for Image Processing

Ami Ono, Katsuhiko Kondo, Takafumi Inaba, Tomoaki Tsumura, Hiroshi Matsuo

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Tags: CUDA, Data parallelism, High-level Languages, Image processing, nVidia, nVidia GeForce GTX 280

December 25, 2011 by hgpu

High Performance and Scalable Radix Sorting: A case study of implementing dynamic parallelism for GPU computing

Duane Merrill, Andrew Grimshaw

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Source codes

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Package, Sorting

December 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

Fast Parallel Machine Learning Algorithms for Large Datasets Using Graphic Processing Unit

Designing Fast Architecture Sensitive Tree Search on Modern Multi-Core/Many-Core Processors

Turbo Bayesian Compressed Sensing

Modeling Parallel Programs for Heterogeneous Computing

Methodology of control and supervision of web connected mobile robots with CUDA technology application

Accelerating linear system solutions using randomization techniques

G-CP: Providing Fault Tolerance on the GPU through Software Checkpointing

Design and Development of Optical Flow Based Obstacle Avoidance Using CUDA

GPU-Parallel Implementation of Color based Medical Image Retrieval in Compressed Domain

Parallel Implementation of Shape based Image Retrieval Approach on CUDA in Compressed Domain

A GPU-supported High-Level Programming Language for Image Processing

High Performance and Scalable Radix Sorting: A case study of implementing dynamic parallelism for GPU computing

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)