high performance computing on graphics processing units: hgpu.org

Programming

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GPU Parallelization of Algebraic Dynamic Programming

Peter Steffen, Robert Giegerich, Mathieu Giraud

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Package, Presentation, Programming techniques

December 17, 2010 by hgpu

GPU-based Monte Carlo simulation for light propagation in complex heterogeneous tissues

Nunu Ren, Jimin Liang, Xiaochao Qu, Jianfeng Li, Bingjia Lu, Jie Tian

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Tags: CUDA, Monte Carlo simulation, nVidia, nVidia GeForce GTX 260, Optics, Package, Physics

December 17, 2010 by hgpu

Programming massively parallel processors : A Hands – on approach

David B Kirk and Wen-Mei W. Hwu

Tags: Algorithms, Book, Computer science, CUDA, nVidia, OpenCL, Review

December 17, 2010 by hgpu

A GPU solvent-solvent interaction calculation accelerator for biomolecular simulations using the GROMOS software

Nathan Schmid, Mathias Botschi, Wilfred F. Van Gunsteren

Tags: Chemistry, Computational chemistry, CUDA, Molecular dynamics, nVidia, nVidia Quadro FX 5800, Solvent effects

December 17, 2010 by hgpu

Accelerating Monte Carlo simulations with an NVIDIA graphics processor

Paul Martinsen, Johannes Blaschke, Rainer Kunnemeyer and Robert Jordan

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Tags: CUDA, Monte Carlo simulation, nVidia, nVidia GeForce 8800 GT, Physics

December 16, 2010 by hgpu

Real-time optical micro-manipulation using optimized holograms generated on the GPU

S. Bianchi, R. Di Leonardo

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Tags: Computer holography, CUDA, nVidia, nVidia GeForce GTX 260, Optics, Physics

December 16, 2010 by hgpu

GPU Acceleration of an Unmodified Parallel Finite Element Navier-Stokes Solver

Dominik Goddeke, Sven H.M. Buijssen, Hilmar Wobker and Stefan Turek

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Tags: CUDA, Finite element method, Fluid dynamics, GPU cluster, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce 8800 GTX

December 16, 2010 by hgpu

Fast and Accurate Finite-Element Multigrid Solvers for PDE Simulations on GPU Clusters

Dominik Goddeke

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Tags: CUDA, Finite element method, Fluid dynamics, GPU cluster, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce 6800, nVidia GeForce 7600 GT, nVidia GeForce 7900 GT, nVidia GeForce 8600 GT, nVidia GeForce 8800 GTX, nVidia GeForce 9600 GT, nVidia GeForce GTX 280, OpenGL, Review, Thesis

December 16, 2010 by hgpu

Scientific Programming for Heterogeneous Systems – Bridging the Gap between Algorithms and Applications

Alexey Lastovetsky

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Tags: Algorithms, Computer science, Data parallelism

December 15, 2010 by hgpu

An effective GPU implementation of breadth-first search

Lijuan Luo, Martin Wong, Wen M. Hwu

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Tags: Algorithms, Computer science, Search

December 15, 2010 by hgpu

High-throughput Bayesian network learning using heterogeneous multicore computers

Michael D. Linderman, Robert Bruggner, Vivek Athalye, Teresa H. Meng, Narges B. Asadi, Garry P. Nolan

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Tags: Algorithms, CUDA, GPU cluster, Mathematics, nVidia, nVidia GeForce GTX 285, Statistics, Tesla C1060, Tesla S1070

December 15, 2010 by hgpu

Integrative multicellular biological modeling: a case study of 3D epidermal development using GPU algorithms

Scott Christley, Briana Lee, Xing Dai, Qing Nie

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Tags: Biology, CUDA, nVidia, nVidia GeForce GTX 285

December 15, 2010 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

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high performance computing on graphics processing units: hgpu.org

Programming

GPU Parallelization of Algebraic Dynamic Programming

GPU-based Monte Carlo simulation for light propagation in complex heterogeneous tissues

Programming massively parallel processors : A Hands – on approach

A GPU solvent-solvent interaction calculation accelerator for biomolecular simulations using the GROMOS software

Accelerating Monte Carlo simulations with an NVIDIA graphics processor

Real-time optical micro-manipulation using optimized holograms generated on the GPU

GPU Acceleration of an Unmodified Parallel Finite Element Navier-Stokes Solver

Fast and Accurate Finite-Element Multigrid Solvers for PDE Simulations on GPU Clusters

Scientific Programming for Heterogeneous Systems – Bridging the Gap between Algorithms and Applications

An effective GPU implementation of breadth-first search

High-throughput Bayesian network learning using heterogeneous multicore computers

Integrative multicellular biological modeling: a case study of 3D epidermal development using GPU algorithms

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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