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Cellular Level Agent Based Modelling on the Graphics Processing Unit

Paul Richmond, Simon Coakley, Daniela Romano

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Tags: Biology, Cellular modelling, CUDA, nVidia, Real-time graphics, Visualization

June 14, 2011 by hgpu

Accelerating Dynamic Time Warping Subsequence Search with GPUs and FPGAs

Doruk Sart, Abdullah Mueen, Walid Najjar, Eamonn Keogh, Vit Niennattrakul

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Tags: Algorithms, Computer science, CUDA, Data mining, FPGA, nVidia, Tesla C1060

June 14, 2011 by hgpu

Parallel implementation of artificial neural network training

S. Scanzio, S. Cumani, R. Gemello, F. Mana, P. Laface

Tags: Acoustics, CUDA, Neural networks, nVidia, Signal processing, Speech recognition

June 14, 2011 by hgpu

CuParcone A High-Performance Evolvable Neural Network Model

Xiaoxi Chen, Lin Gao, Hugo de Garis

Tags: CUDA, Image processing, Image recognition, Neural networks, nVidia

June 14, 2011 by hgpu

Massively LDPC Decoding on Multicore Architectures

Gabriel Falcao, Leonel Sousa, Vitor Silva

Tags: Cell processor, Computer science, CUDA, nVidia, Parity-check codes, Performance

June 10, 2011 by hgpu

CUDA Based Fast Implementation of Very Large Matrix Computation

Yinghong Sun, Yuanman Tong

Tags: Computer science, CUDA, Linear Algebra, Matrix multiplication, nVidia

June 10, 2011 by hgpu

cuGWAM: Genome-wide association multifactor dimensionality reduction using CUDA-enabled high-performance graphics processing unit

Min-Seok Kwon, Kyunga Kim, Sungyoung Lee, Taesung Park

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Tags: Bioinformatics, Biology, CUDA, Genetics, nVidia, Package

June 9, 2011 by hgpu

Low-Frequency MLFMA on Graphics Processors

M. Cwikla, J. Aronsson, V. Okhmatovski

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Tags: CUDA, Electrodynamics, Fast multipole method, nVidia, nVidia Quadro FX 5800

June 9, 2011 by hgpu

SAR focusing of P-band ice sounding data using back-projection

Anders Kusk, Jorgen Dall

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Tags: CUDA, Earth and Space Sciences, nVidia, nVidia GeForce GTX 260

June 9, 2011 by hgpu

Parallelism of Clonal Selection for PSP on CUDA

Hongbing Zhu, Heng Xiao, JinGuang Gu

Tags: Biology, CUDA, Macromolecule, nVidia

June 9, 2011 by hgpu

Parallel multi-level analytical global placement on graphics processing units

Jason Cong, Yi Zou

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Tags: Algorithms, CAD, Computer science, CUDA, nVidia, Performance, Tesla C1060

June 9, 2011 by hgpu

Parallelization of tau-leap coarse-grained Monte Carlo simulations on GPUs

Lifan Xu, Michela Taufer, Stuart Collins, Dionisios G. Vlachos

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Tags: Chemistry, CUDA, Data parallelism, GPU cluster, Monte Carlo simulation, nVidia, Physics, Tesla S1070

June 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

Cellular Level Agent Based Modelling on the Graphics Processing Unit

Accelerating Dynamic Time Warping Subsequence Search with GPUs and FPGAs

Parallel implementation of artificial neural network training

CuParcone A High-Performance Evolvable Neural Network Model

Massively LDPC Decoding on Multicore Architectures

CUDA Based Fast Implementation of Very Large Matrix Computation

cuGWAM: Genome-wide association multifactor dimensionality reduction using CUDA-enabled high-performance graphics processing unit

Low-Frequency MLFMA on Graphics Processors

SAR focusing of P-band ice sounding data using back-projection

Parallelism of Clonal Selection for PSP on CUDA

Parallel multi-level analytical global placement on graphics processing units

Parallelization of tau-leap coarse-grained Monte Carlo simulations on GPUs

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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