high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

The Accelerated Universe

Adrian Pope, Salman Habib, Zarija Lukic, David Daniel, Patricia Fasel, Nehal Desai, and Katrin Heitmann

Tags: Astrophysics, Physics

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

OpenMM: A Hardware-Independent Framework for Molecular Simulations

Peter Eastman, Vijay Pande

Source codes

Tags: Chemistry, Computational chemistry, Molecular modeling, Package

December 16, 2010 by hgpu

A massively multicore parallelization of the Kohn-Sham energy gradients

Philip Brown, Christopher J. Woods, Simon McIntosh-Smith, Frederick R. Manby

Tags: Chemistry, Computational chemistry, Molecular modeling

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

Revolutionary technologies for acceleration of emerging petascale applications

Rupak Biswas, Leonid Oliker and Jeffrey Vetter

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Tags: Computer science, Programming techniques

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

Exploring weak scalability for FEM calculations on a GPU-enhanced cluster

Dominik Goddeke, Robert Strzodka, Jamaludin Mohd-Yusof, Patrick McCormick, Sven H.M. Buijssen, Matthias Grajewski and Stefan Turek

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Tags: Computer science, Finite element method, GPU cluster, MPI, nVidia, nVidia Quadro FX 5600

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

Agentic Code Optimization via Compiler-LLM Cooperation

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

DVM: Real-Time Kernel Generation for Dynamic AI Models

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

AutoKernel: Autonomous GPU Kernel Optimization via Iterative Agent-Driven Search

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

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high performance computing on graphics processing units: hgpu.org

Applications

The Accelerated Universe

Accelerating Monte Carlo simulations with an NVIDIA graphics processor

OpenMM: A Hardware-Independent Framework for Molecular Simulations

A massively multicore parallelization of the Kohn-Sham energy gradients

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

Revolutionary technologies for acceleration of emerging petascale applications

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

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

Exploring weak scalability for FEM calculations on a GPU-enhanced cluster

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

Recent source codes

Agentic Code Optimization via Compiler-LLM Cooperation

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

LLM.Q: Quantized LLM training in pure CUDA/C++

True 4-Bit Quantized CNN Training on CPU

cuFuzz: A GPU-oriented coverage-guided fuzzer for userland CUDA application

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

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