high performance computing on graphics processing units: hgpu.org

Applications

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Accelerating Unstructured Mesh Computational Fluid Dynamics on the NVidia Tesla GPU Architecture

Graham Markall

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Tags: Conjugate gradient solver, CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 280, Package, Thesis

June 5, 2011 by hgpu

Performance Analysis of the OP2 Framework on Many-core Architectures

M.B. Giles, G.R. Mudalige, Z. Sharif, G. Markall and P.H.J Kelly

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Tags: CUDA, Fluid dynamics, GPU cluster, nVidia, nVidia GeForce GTX 260, OpenMP, Package, Performance, Tesla C2050

June 5, 2011 by hgpu

A framework for parallel unstructured grid applications on GPUs

Mike Giles

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Tags: Code generation, Computer science, CUDA, GPU cluster, MPI, nVidia, OpenCL, OpenMP, Package, PDEs, Presentation

June 5, 2011 by hgpu

GPUMLib: A new Library to combine Machine Learning algorithms with Graphics Processing Units

N. Lopes, B. Ribeiro, R. Quintas

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Tags: Computer science, CUDA, Machine learning, nVidia, Package

June 1, 2011 by hgpu

GPU-Based Cell Projection for Interactive Volume Rendering

Ricardo Marroquim, Andre Maximo, Ricardo Farias, Claudio Esperanca

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Tags: Algorithms, Computer science, GLSL, nVidia, nVidia GeForce 6800, OpenGL, Package, Rendering

May 23, 2011 by hgpu

Improving the Speed of Virtual Rear Projection: A GPU-Centric Architecture

Matthew Flagg, Jay Summet, James M. Rehg

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Tags: Computer vision, DirectX, Image processing, nVidia, nVidia GeForce FX 6800 GT, Package

May 22, 2011 by hgpu

Softassign and EM-ICP on GPU

Toru Tamaki, Miho Abe, Bisser Raytchev, Kazufumi Kaneda

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800 GT, Package

May 14, 2011 by hgpu

Fast network centrality analysis using GPUs

Zhiao Shi, Bing Zhang

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Tags: All-Pairs Distance, Bioinformatics, Biology, CUDA, nVidia, Package, Tesla C2050

May 13, 2011 by hgpu

Fast gain-adaptive KLT tracking on the GPU

Christopher Zach, David Gallup, Jan-Michael Frahm

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Tags: Cg, Computer science, Computer vision, CUDA, GLSL, nVidia, nVidia GeForce 7950 GX2, nVidia GeForce 8400 GS, nVidia GeForce 8800 Ultra, OpenGL, Package, Video tracking

May 12, 2011 by hgpu

Exact and complete short-read alignment to microbial genomes using Graphics Processing Unit programming

Jochen Blom, Tobias Jakobi, Daniel Doppmeier, Sebastian Jaenicke, Jorn Kalinowski, Jens Stoye, Alexander Goesmann

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Tags: Algorithms, Bioinformatics, Biology, CUDA, Next-Generation sequencing, nVidia, Package

May 10, 2011 by hgpu

GPULib: GPU Computing in High-Level Languages

Peter Messmer, Paul J. Mullowney, Brian E. Granger

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Tags: Computer science, CUDA, High-level Languages, nVidia, Package

May 9, 2011 by hgpu

GPU Based Fluid Animation over Elastic Surface Models

Bruno Barcellos S. Coutinho, Gilson Antonio Giraldi, Antonio L. Apolinario Jr.

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Tags: Computer science, Fluid simulation, Games, nVidia, nVidia GeForce 8800 GTX, Package, Real-time graphics, Rendering

May 9, 2011 by hgpu

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

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

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high performance computing on graphics processing units: hgpu.org

Applications

Accelerating Unstructured Mesh Computational Fluid Dynamics on the NVidia Tesla GPU Architecture

Performance Analysis of the OP2 Framework on Many-core Architectures

A framework for parallel unstructured grid applications on GPUs

GPUMLib: A new Library to combine Machine Learning algorithms with Graphics Processing Units

GPU-Based Cell Projection for Interactive Volume Rendering

Improving the Speed of Virtual Rear Projection: A GPU-Centric Architecture

Softassign and EM-ICP on GPU

Fast network centrality analysis using GPUs

Fast gain-adaptive KLT tracking on the GPU

Exact and complete short-read alignment to microbial genomes using Graphics Processing Unit programming

GPULib: GPU Computing in High-Level Languages

GPU Based Fluid Animation over Elastic Surface Models

Recent source codes

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

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

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