high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

Architecture of the real-time target detection processing in an airborne hyperspectral demonstrator system

T.V. Haavardsholm, G. Arisholm, A. Kavara, T. Skauli

Tags: Image processing, Real-time graphics

June 17, 2011 by hgpu

The Rhombic Dodecahedron Map: An Efficient Scheme for Encoding Panoramic Video

Chi-Wing Fu, Liang Wan, Tien-Tsin Wong, Chi-Sing Leung

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Tags: Computer science, nVidia, nVidia GeForce 6800, nVidia GeForce 7800, OpenGL, Video decoding, Wavelet

June 17, 2011 by hgpu

Coarse grain computation-communication overlap for efficient application-level checkpointing for GPUs

L.D. Solano-Quinde, B.M. Bode, A.K. Somani

Tags: Computer science, Fault simulation

June 17, 2011 by hgpu

Interactive Histology of Large-Scale Biomedical Image Stacks

Won-Ki Jeong, Jens Schneider, Stephen G. Turney, Beverly E. Faulkner-Jones, Dominik Meyer, Rudiger Westermann, R. Clay Reid, Jeff Lichtman, Hanspeter Pfister

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Tags: Image processing, Medicine, nVidia, nVidia GeForce GTX 285, OpenGL, Texture detection, Visualization

June 17, 2011 by hgpu

Exploiting Memory Access Patterns to Improve Memory Performance in Data-Parallel Architectures

Byunghyun Jang, Dana Schaa, Perhaad Mistry, David Kaeli

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Tags: ATI, ATI Radeon HD 3870, Brook, Computer science, CUDA, Data parallelism, Memory model, nVidia, nVidia GeForce GTX 285, Review

June 17, 2011 by hgpu

A Memory Centric Kernel Framework for Accelerating Short-Range, Interactive Particle Simulation

Ian Stewart, Shujia Zhou

Tags: Cell processor, Computer science, Memory model, nVidia

June 17, 2011 by hgpu

GPGPU-based Gaussian Filtering for Surface Metrological Data Processing

Yang Su, Zhijie Xu, Xiangqian Jiang

Tags: Computer science, Filtering, Visualization

June 16, 2011 by hgpu

Efficient High-Quality Volume Rendering of SPH Data

Roland Fraedrich, Stefan Auer, Rudiger Westermann

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Tags: Computer science, nVidia, nVidia GeForce GTX 280, Rendering, Visualization, Voxelization

June 16, 2011 by hgpu

Adapting MoM with RWG Basis Functions to GPU Technology Using CUDA

Tomasz Topa, A. Noga, A. Karwowski

Tags: CUDA, Electrodynamics, nVidia

June 16, 2011 by hgpu

Architecture, Design, and Experimental Evaluation of a Lightfield Descriptor Depth Buffer Algorithm on Reconfigurable Logic and on a GPU

Matina Lakka, Grigorios Chrysos, Ioannis Papaefstathiou, Apostolos Dollas

Tags: Computer science, FPGA, Information Retrieval, nVidia, Performance

June 16, 2011 by hgpu

Iris recognition on GPU with the usage of Non-Negative Matrix Factorization

Petr Gajdos, Jan Platos, Pavel Moravec

Tags: Computer science, Image recognition, Nonnegative matrix factorization

June 16, 2011 by hgpu

Potential of General Purpose Graphic Processing Unit for Energy Management System

Jean-Charles Tournier, Vaibhav Donde, Zhao Li

Tags: Computational Engineering, Computer science, Power Systems Simulation, Sparse linear iterative solvers

June 16, 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

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high performance computing on graphics processing units: hgpu.org

Applications

Architecture of the real-time target detection processing in an airborne hyperspectral demonstrator system

The Rhombic Dodecahedron Map: An Efficient Scheme for Encoding Panoramic Video

Coarse grain computation-communication overlap for efficient application-level checkpointing for GPUs

Interactive Histology of Large-Scale Biomedical Image Stacks

Exploiting Memory Access Patterns to Improve Memory Performance in Data-Parallel Architectures

A Memory Centric Kernel Framework for Accelerating Short-Range, Interactive Particle Simulation

GPGPU-based Gaussian Filtering for Surface Metrological Data Processing

Efficient High-Quality Volume Rendering of SPH Data

Adapting MoM with RWG Basis Functions to GPU Technology Using CUDA

Architecture, Design, and Experimental Evaluation of a Lightfield Descriptor Depth Buffer Algorithm on Reconfigurable Logic and on a GPU

Iris recognition on GPU with the usage of Non-Negative Matrix Factorization

Potential of General Purpose Graphic Processing Unit for Energy Management System

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)