high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming

Symbolic crosschecking of floating-point and SIMD code

Peter Collingbourne, Cristian Cadar, Paul H.J. Kelly

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Tags: Algorithms, Computer science, Package, Performance, Software Engineering

September 12, 2011 by hgpu

Implementing cartesian genetic programming classifiers on graphics processing units using GPU.NET

Simon Harding, Wolfgang Banzhaf

Tags: Algorithms, Artificial intelligence, Computer science, Genetic programming, Programming techniques

September 12, 2011 by hgpu

Simulating vehicle kinematics with SimVis3D and Newton

Jens Wettach, Daniel Schmidt, Karsten Berns

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Tags: 3D Graphics and Realism, Computer science, OpenCL, Package, Physics-based simulation, Sensing

September 12, 2011 by hgpu

Unified Tables for Exponential and Logarithm Families

Christopher Kumar Anand, Anuroop Sharma

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Tags: Algorithms, Cell processor, Computer science, Elementary functions, Mathematics

September 11, 2011 by hgpu

Translation-invariant two-dimensional discrete wavelet transform on graphics processing units

Dietmar Wippig, Bernd Klauer

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Tags: Algorithms, ATI, ATI Radeon HD 4870, Discrete Wavelet Transform, GLSL, Image processing, nVidia, nVidia GeForce GTX 280, OpenGL, Shaders

September 11, 2011 by hgpu

SSLPV: subsurface light propagation volumes

Jesper Borlum, Brian Bunch Christensen, Thomas Kim Kjeldsen, Peter Trier Mikkelsen, Karsten Ostergaard Noe, Jens Rimestad, Jesper Mosegaard

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Tags: 3D Graphics and Realism, Algorithms, Computer science, GLSL, Heterogeneous systems, nVidia, nVidia GeForce GTX 580, OpenGL, Package, Rendering

September 11, 2011 by hgpu

High performance technique for database applications using a hybrid GPU/CPU platform

M. Affan Zidan, Talal Bonny, Khaled N. Salama

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Tags: Algorithms, Computer science, Databases, Presentation, Programming techniques, Sequence matching, Smith-Waterman algorithm

September 11, 2011 by hgpu

Collision-streams: fast GPU-based collision detection for deformable models

Min Tang, Dinesh Manocha, Jiang Lin, Ruofeng Tong

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Tags: Algorithms, ATI, ATI Radeon HD 5870, Collision detection, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, OpenCL

September 11, 2011 by hgpu

Texture compression of light maps using smooth profile functions

Jim Rasmusson, Jacob Strom, Per Wennersten, Michael Doggett, Tomas Akenine-Moller

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Tags: Algorithms, Compression, Computer science, nVidia, OpenCL, Rendering

September 11, 2011 by hgpu

Lattice-boltzmann water waves

Robert Geist, Christopher Corsi, Jerry Tessendorf, James Westall

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Tags: 3D Graphics and Realism, Computer science, Lattice Boltzmann model, nVidia, nVidia GeForce GTX 480, OpenCL, Rendering

September 11, 2011 by hgpu

A design pattern language for engineering (parallel) software: merging the PLPP and OPL projects

Kurt Keutzer, Berna L. Massingill, Timothy G. Mattson, Beverly A. Sanders

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Tags: Algorithms, Computer science, High-level Languages, Performance, Programming techniques

September 11, 2011 by hgpu

Early experiences with the intel many integrated cores accelerated computing technology

L. Koesterke, J. Boisseau, J. Cazes, K. Milfeld, D. Stanzione

Tags: Algorithms, Computer science, Intel, OpenMP, Performance

September 11, 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

Symbolic crosschecking of floating-point and SIMD code

Implementing cartesian genetic programming classifiers on graphics processing units using GPU.NET

Simulating vehicle kinematics with SimVis3D and Newton

Unified Tables for Exponential and Logarithm Families

Translation-invariant two-dimensional discrete wavelet transform on graphics processing units

SSLPV: subsurface light propagation volumes

High performance technique for database applications using a hybrid GPU/CPU platform

Collision-streams: fast GPU-based collision detection for deformable models

Texture compression of light maps using smooth profile functions

Lattice-boltzmann water waves

A design pattern language for engineering (parallel) software: merging the PLPP and OPL projects

Early experiences with the intel many integrated cores accelerated computing technology

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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