high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

Reducing shading on GPUs using quad-fragment merging

Kayvon Fatahalian, Solomon Boulos, James Hegarty, Kurt Akeley, William R. Mark, Henry Moreton, Pat Hanrahan

View

Download (PDF)

Tags: Computer science, DirectX, Rasterization, Real-time graphics, Rendering

May 13, 2011 by hgpu

Fast network centrality analysis using GPUs

Zhiao Shi, Bing Zhang

View

Download (PDF)

Source codes

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

View

Download (PDF)

Source codes

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

Towards real-time tomography: Fast reconstruction algorithms and GPU implementation

Federica Marone, Christoph Hintermuller, Roman Geus, Marco Stampanoni

Tags: FFT, Image reconstruction, Materials Science, Medicine, Tomography

May 12, 2011 by hgpu

An Improved Study of Physically Based Fluid Simulation on GPU

Zhizhong Tong, Qitao Huang, Jingfeng He, Junwei Han

Tags: Computer science, Fluid simulation, Physics-based simulation, Rendering

May 12, 2011 by hgpu

GPU-Based Hierarchical Computations for View Independent Visibility

Rhushabh Goradia, Prekshu Ajmera, Sharat Chandran

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia, Rendering

May 12, 2011 by hgpu

Real Time Simulation of Tissue Cutting Based on GPU and CUDA for Surgical Training

Yuanyuan Zhang, Zhiyong Yuan, Yihua Ding, Jianhui Zhao, Zhaoliang Duan, Mingui Sun

Tags: CUDA, Mass-spring systems, Medicine, nVidia, Surgical simulation, Virtual reality

May 12, 2011 by hgpu

GPU Acceleration of PROPELLER MRI Using CUDA

Hongyu Guo, Jianping Dai, Yanfa He

Tags: CUDA, Image processing, Image reconstruction, Medicine, MRI, nVidia

May 12, 2011 by hgpu

Efficient GPU-based Construction of Occupancy Girds Using several Laser Range-finders

Manuel Yguel, Olivier Aycard, Christian Laugier

View

Download (PDF)

Tags: Algorithms, Image processing, nVidia, nVidia GeForce FX 5650, OpenGL

May 12, 2011 by hgpu

Scaling IDS construction based on Non-negative Matrix factorization using GPU computing

Jan Platos, Pavel Kromer, Vaclav Snasel, Ajith Abraham

View

Download (PDF)

Tags: Computer science, CUDA, Nonnegative matrix factorization, nVidia, Security

May 12, 2011 by hgpu

OpenCL based machine learning labeling of biomedical datasets

Oscar Amoros, Sergio Escalera, Anna Puig

View

Download (PDF)

Tags: GLSL, Image processing, Machine learning, Medicine, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 470, OpenCL, OpenGL

May 12, 2011 by hgpu

Accelerating QDP++ using GPUs

Frank Winter

View

Download (PDF)

Tags: Computational Physics, CUDA, High Energy Physics - Lattice, nVidia, nVidia GeForce GTX 480, Physics, Programming Languages, QCD

May 12, 2011 by hgpu

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

BoltzGen:Toward Universal Binder Design

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

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

tritonBLAS: Triton-based Analytical Approach for GEMM Kernel Parameter Selection

hls4ml: Machine learning on FPGAs using HLS

hls4ml: A Flexible, Open-Source Platform for Deep Learning Acceleration on Reconfigurable Hardware

NVIDIA Nemotron Parse 1.1

ThunderKittens: Tile primitives for speedy kernels

ParallelKittens: Systematic and Practical Simplification of Multi-GPU AI Kernels

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Applications

Reducing shading on GPUs using quad-fragment merging

Fast network centrality analysis using GPUs

Fast gain-adaptive KLT tracking on the GPU

Towards real-time tomography: Fast reconstruction algorithms and GPU implementation

An Improved Study of Physically Based Fluid Simulation on GPU

GPU-Based Hierarchical Computations for View Independent Visibility

Real Time Simulation of Tissue Cutting Based on GPU and CUDA for Surgical Training

GPU Acceleration of PROPELLER MRI Using CUDA

Efficient GPU-based Construction of Occupancy Girds Using several Laser Range-finders

Scaling IDS construction based on Non-negative Matrix factorization using GPU computing

OpenCL based machine learning labeling of biomedical datasets

Accelerating QDP++ using GPUs

Recent source codes

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

BoltzGen:Toward Universal Binder Design

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

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

hls4ml: Machine learning on FPGAs using HLS

NVIDIA Nemotron Parse 1.1

ThunderKittens: Tile primitives for speedy kernels

Most viewed papers (last 30 days)