high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications » Computer science

A framework for network traffic analysis using GPUs

Marc Sune Clos

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Tags: Algorithms, Computer science, CUDA, Networks, nVidia, Security, Thesis

November 26, 2011 by hgpu

Fast Hydraulic and Thermal Erosion on GPU

Balazs Jako, Balazs Toth

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Tags: 3D Graphics and Realism, ATI, ATI Radeon HD 3650, ATI Radeon HD 4870, Visualization

November 26, 2011 by hgpu

A Short Note on Gaussian Process Modeling for Large Datasets using Graphics Processing Units

Mark Franey, Pritam Ranjan, Hugh Chipman

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Tags: Computer science, CUDA, Heterogeneous systems, Matrix inversion, nVidia, nVidia GeForce GTX 260, Statistics and Probability

November 26, 2011 by hgpu

High performance system for the Interactive rendering of a 3D Model into MPEG-4

A. Joshi, S. Ismail, L. S. Ng, A. Taqa

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Tags: Computer science, CUDA, GPU cluster, nVidia, OpenGL, Rendering, Video encoding

November 26, 2011 by hgpu

Partitioned Memory Parallel Programming Framework

Tarun Beri, Sorav Bansal, Subodh Kumar

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Tags: Computer science, Memory, nVidia, Performance, Tesla C1060

November 26, 2011 by hgpu

Parallel GMRES implementation for solving sparse linear systems on GPU clusters

Jacques M. Bahi, Raphael Couturier, Lilia Ziane Khodja

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Tags: Algorithms, Computer science, CUDA, GPU cluster, nVidia, Sparse matrix, Tesla C1060

November 25, 2011 by hgpu

Fastplay: A Parallelization Model and Implementation of SMC on CUDA Based GPU Cluster Architecture

Shi Pu, Pu Duan, Jyh-Charn Liu

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Tags: Algorithms, Computer science, CUDA, GPU cluster, nVidia, Security, Tesla C870

November 25, 2011 by hgpu

Fast hough transform on GPUs: exploration of algorithm trade-offs

Gert-Jan van den Braak, Cedric Nugteren, Bart Mesman, Henk Corporaal

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 470

November 25, 2011 by hgpu

Decryption-decompression of AES protected ZIP files on GPUs

Tan Nhat Duong, Phong Hong Pham, Duc Huu Nguyen, Thuy Thanh Nguyen, Hung Duc Le

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Tags: AES, Algorithms, Compression, Computer science, CUDA, nVidia, nVidia GeForce GTX 295, Security

November 25, 2011 by hgpu

Heterogeneous Computing and Load Balancing Techniques for Monte Carlo Simulation in a Distributed Environment

Isha Sanjay Deshpande

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Tags: Computer science, CUDA, GPU cluster, Heterogeneous systems, Monte Carlo simulation, nVidia, nVidia Quadro FX 5600, Thesis

November 25, 2011 by hgpu

Coupler Design and Optimization by GPU-Accelerated DG-FEM

C. Potratz, H.-W. Glock, U. van Rienen

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Tags: Computer science, CUDA, FEM, Finite element method, nVidia, nVidia GeForce GTX 470, Optimization

November 25, 2011 by hgpu

Symphony: A Scheduler for Client-Server Applications on Coprocessor-based Heterogeneous Clusters

M. Mustafa Rafique, Srihari Cadambi, Kunal Rao, Ali R. Butt, Srimat Chakradhar

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Tags: Cluster computing, Computer science, CUDA, GPU cluster, Heterogeneous systems, nVidia, Task scheduling, Tesla C2050

November 24, 2011 by hgpu

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

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

Iris: First-Class Multi-GPU Programming Experience in Triton

HipKittens: Fast and Furious AMD Kernels

Fortran xDSL dialects

An MLIR pipeline for offloading Fortran to FPGAs via OpenMP

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

A framework for network traffic analysis using GPUs

Fast Hydraulic and Thermal Erosion on GPU

A Short Note on Gaussian Process Modeling for Large Datasets using Graphics Processing Units

High performance system for the Interactive rendering of a 3D Model into MPEG-4

Partitioned Memory Parallel Programming Framework

Parallel GMRES implementation for solving sparse linear systems on GPU clusters

Fastplay: A Parallelization Model and Implementation of SMC on CUDA Based GPU Cluster Architecture

Fast hough transform on GPUs: exploration of algorithm trade-offs

Decryption-decompression of AES protected ZIP files on GPUs

Heterogeneous Computing and Load Balancing Techniques for Monte Carlo Simulation in a Distributed Environment

Coupler Design and Optimization by GPU-Accelerated DG-FEM

Symphony: A Scheduler for Client-Server Applications on Coprocessor-based Heterogeneous Clusters

Recent source codes

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

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

HipKittens: Fast and Furious AMD Kernels

Fortran xDSL dialects

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