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Multi-GPU Island-Based Genetic Algorithm

Namrata Mahakalkar, A. R. Mahajan

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Tags: Algorithms, Computer science, CUDA, Genetic programming, GPU cluster, nVidia, nVidia GeForce GTX 580

March 20, 2013 by hgpu

Time-stepping methods for the simulation of the self-assembly of nano-crystals in Matlab on a GPU

M. D. Korzec, T. Ahnert

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Tags: CUDA, Differential equations, Mathematics, Numerical simulation, nVidia, nVidia GeForce GTX 260, Partial differential equations, PDEs, Spectral methods

March 20, 2013 by hgpu

General Purpose Computing on Low-Power Embedded GPUs: Has It Come of Age?

Arian Maghazeh, Unmesh D. Bordoloi, Petru Eles, Zebo Peng

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Tags: ARM, Computer science, nVidia, OpenCL, Performance, Tesla M2050

March 20, 2013 by hgpu

clMAGMA: High Performance Dense Linear Algebra with OpenCL

Chongxiao Cao, Jack Dongarra, Peng Du, Mark Gates, Piotr Luszczek, Stanimire Tomov

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Source codes

Tags: Algorithms, ATI, ATI Radeon HD 7970, Computer science, Heterogeneous systems, Linear Algebra, nVidia, OpenCL, Package, Tesla S2050

March 18, 2013 by hgpu

GPU-Based Cloud Service for Smith-Waterman algorithm Using Frequency Distance Filtration Scheme

Sheng-Ta Lee, Chun-Yuan Lin, Che Lun Hung

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Tags: Bioinformatics, Biology, Cloud, CUDA, nVidia, Sequence alignment, Smith-Waterman algorithm, Tesla C2050

March 18, 2013 by hgpu

Parallelization with Different API on Multicore Architecture

Georg Rempfer

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Tags: Chemistry, CUDA, Liquid crystals, nVidia, nVidia GeForce GTX 680, Physics, Statistical Mechanics, Thesis

March 18, 2013 by hgpu

GPU Accelerated Multiple Deoxyribose Nucleic Acid Sequence Parallel Matching

Gang Liao, Qi Sun, Longfei Ma, Zhihui Qin

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Tags: Algorithms, Bioinformatics, Computer science, CUDA, Data Structures and Algorithms, nVidia, nVidia GeForce GTX 680, Sequence matching, Suffix trees

March 18, 2013 by hgpu

Forensics on GPU Coprocessing in Databases – Research Challenges, First Experiments, and Countermeasures

Sebastian Bress, Stefan Kiltz, Martin Schaler

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Tags: Computer science, CUDA, Databases, nVidia, nVidia GeForce 9600 GT, nVidia GeForce GT 640, Security

March 16, 2013 by hgpu

Efficiency of Parallelization of Neural Network Algorithm on Graphic Cards

Dariusz Konieczny, Karol Radziszewski

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Tags: Computer science, CUDA, Heterogeneous systems, Neural networks, nVidia, nVidia Quadro FX 3700 M, Tesla T10

March 16, 2013 by hgpu

Astronomical Photometric Data Reduction Using GPGPU

Jan Kwiatkowski, Rafal Pawlaszek

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Tags: Astrophysics, CUDA, nVidia

March 16, 2013 by hgpu

Exploring power efficiency and optimizations targeting heterogeneous applications

Yash Sanjeev Ukidave

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Tags: AMD Fusion, ATI, ATI Radeon HD 7770, Computer science, Energy-efficient computing, FFT, Heterogeneous systems, nVidia, nVidia GeForce GTX 680, OpenCL, Thesis

March 16, 2013 by hgpu

iTree: Exploring Time-Varying Data using Indexable Tree

Yi Gu, Chaoli Wang

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Visualization

March 15, 2013 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

Multi-GPU Island-Based Genetic Algorithm

Time-stepping methods for the simulation of the self-assembly of nano-crystals in Matlab on a GPU

General Purpose Computing on Low-Power Embedded GPUs: Has It Come of Age?

clMAGMA: High Performance Dense Linear Algebra with OpenCL

Parallelization with Different API on Multicore Architecture

GPU Accelerated Multiple Deoxyribose Nucleic Acid Sequence Parallel Matching

Forensics on GPU Coprocessing in Databases – Research Challenges, First Experiments, and Countermeasures

Efficiency of Parallelization of Neural Network Algorithm on Graphic Cards

Astronomical Photometric Data Reduction Using GPGPU

Exploring power efficiency and optimizations targeting heterogeneous applications

iTree: Exploring Time-Varying Data using Indexable Tree

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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