high performance computing on graphics processing units: hgpu.org

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GPU-accelerated Adaptively Sampled Distance Fields

Thiago Bastos, Waldemar Celes

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Tags: Algorithms, Computer science, Computer vision, GLSL, nVidia, nVidia GeForce 8800 GTX, OpenGL, Rendering

April 30, 2011 by hgpu

GPU-based simulation of cellular neural networks for image processing

R. Dolan, G. DeSouza

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Tags: Cellular neural networks, CUDA, Image processing, nVidia

April 30, 2011 by hgpu

GPU based Partially Connected Neural Evolutionary network and its application on gender recognition with face images

Xiao-Xi Chen, Ming-Hui Shi, H. de Garis

Tags: Computer science, Computer vision, CUDA, Image recognition, Neural networks, nVidia

April 30, 2011 by hgpu

EcoG: A Power-Efficient GPU Cluster Architecture for Scientific Computing

Mike Showerman, Jeremy Enos, Craig Steffen, Sean Treichler, William Gropp, Wen-mei W. Hwu

Tags: Computer science, CUDA, Energy-efficient computing, GPU cluster, nVidia

April 30, 2011 by hgpu

Real-time massive convolution for audio applications on GPU

Jose Belloch, Alberto Gonzalez, F. Martinez-Zaldivar, Antonio Vidal

Tags: Acoustics, Algorithms, Signal processing

April 30, 2011 by hgpu

Implementations of hardware acceleration for MD4-family algorithms based on GPU

Wenchao Zhou, Hongwei Wu, Xiaochao Li, Donghui Guo

Tags: Algorithms, Computer science, Security

April 29, 2011 by hgpu

Pushing the limits for medical image reconstruction on recent standard multicore processors

Jan Treibig, Georg Hager, Hannes G. Hofmann, Joachim Hornegger, Gerhard Wellein

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Tags: Computed tomography, Computer science, CT, CUDA, Image reconstruction, nVidia, nVidia GeForce GTX 260, nVidia Quadro FX 5800, OpenMP, Performance

April 29, 2011 by hgpu

American Options Based on Malliavin Calculus and Nonparametric Variance Reduction Methods

Lokman Abbas-Turki, Bernard Lapeyre

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Tags: CUDA, Finance, Monte Carlo simulation, nVidia, nVidia GeForce GTX 480, Pricing of Securities, Probability

April 29, 2011 by hgpu

Improving the Performance of a Ray Tracing Algorithm Using a GPU

Santiago Cioli, Gonzalo Ordeix, Eduardo Fernandez, Martin Pedemonte, Pablo Ezzatti

Tags: 3D Graphics and Realism, Algorithms, Computer science, Raytracing

April 29, 2011 by hgpu

GPU implementation of motion estimation for visual saliency

Anis Rahman, Dominique Houzet, Denis Pellerin, Lionel Agud

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 285, Optical flow

April 29, 2011 by hgpu

Serpent encryption algorithm implementation on Compute Unified Device Architecture (CUDA)

Anas Mohd Nazlee, Fawnizu Azmadi Hussin, Noohul Basheer Zain Ali

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 260, Security

April 29, 2011 by hgpu

Finite temperature lattice QCD with GPUs

Nuno Cardoso, Marco Cardoso, Pedro Bicudo

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Tags: CUDA, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 480, OpenMP, Physics, QCD

April 29, 2011 by hgpu

bioagent-bench: Benchmark for evaluating LLM agents in bioinformatics

BioAgent Bench: An AI Agent Evaluation Suite for Bioinformatics

Benchmark suite for LLM inference on NVIDIA consumer GPUs

Private LLM Inference on Consumer Blackwell GPUs: A Practical Guide for Cost-Effective Local Deployment in SMEs

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

PhysProver: Advancing Automatic Theorem Proving for Physics

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

GPU-accelerated Adaptively Sampled Distance Fields

GPU-based simulation of cellular neural networks for image processing

GPU based Partially Connected Neural Evolutionary network and its application on gender recognition with face images

EcoG: A Power-Efficient GPU Cluster Architecture for Scientific Computing

Real-time massive convolution for audio applications on GPU

Implementations of hardware acceleration for MD4-family algorithms based on GPU

Pushing the limits for medical image reconstruction on recent standard multicore processors

American Options Based on Malliavin Calculus and Nonparametric Variance Reduction Methods

Improving the Performance of a Ray Tracing Algorithm Using a GPU

GPU implementation of motion estimation for visual saliency

Serpent encryption algorithm implementation on Compute Unified Device Architecture (CUDA)

Finite temperature lattice QCD with GPUs

Recent source codes

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

PhysProver: Advancing Automatic Theorem Proving for Physics

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

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