high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Computer science

Flexible OpenCL accelerated disparity estimation for video communication applications

Christian Weigel, Niklas Treutner

Tags: Algorithms, Computer science, OpenCL, Stereo vision

July 6, 2011 by hgpu

Pseudo-random number generation for Brownian Dynamics and Dissipative Particle Dynamics simulations on GPU devices

Carolyn L. Phillips, Joshua A. Anderson, Sharon C. Glotzer

Source codes

Tags: Algorithms, Computer science, Package, Physics, Pseudo-random number generators

July 6, 2011 by hgpu

A Fast, GPU based, Dictionary Attack to OpenPGP Secret Keyrings

Fabrizio Milo, Massimo Bernaschi, Mauro Bisson

Tags: Computer science, CUDA, nVidia, Security

July 6, 2011 by hgpu

A straightforward CUDA implementation for interactive ray-tracing

Brian C. Budge, John C. Anderson, Christoph Garth, Kenneth I. Joy

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

July 5, 2011 by hgpu

High Performance Matrix Inversion on a Multi-core Platform with Several GPUs

Pablo Ezzatti, Enrique S. Quintana-Orti, Alfredo Remon

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Tags: BLAS, Computer science, CUDA, Linear Algebra, Matrix inversion, nVidia, Presentation, Tesla C1060

July 5, 2011 by hgpu

Interactive visualization of streaming data with Kernel Density Estimation

Ove Daae Lampe, Helwig Hauser

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Tags: Computer science, Image generation, Visualization

July 5, 2011 by hgpu

AES on GPU: a CUDA Implementation

Camilla Fiorese, Ceren Budak

Tags: AES, Block Ciphers, Computer science, CUDA, nVidia, Security

July 5, 2011 by hgpu

AES and DES Encryption with GPU

Brandon P. Luken, Ming Ouyang, Ahmed H. Desoky

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Tags: AES, Block Ciphers, Computer science, CUDA, nVidia, Security, Tesla C870

July 5, 2011 by hgpu

Design of a parallel AES for graphics hardware using the CUDA framework

Andrea Di Biagio, Alessandro Barenghi, Giovanni Agosta, Gerardo Pelosi

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Tags: AES, Block Ciphers, Computer science, CUDA, nVidia, nVidia GeForce 8400 GS, nVidia GeForce 8800 GT, Security

July 5, 2011 by hgpu

Implementing AES on GPU: Final Report

Michael Kipper, Joshua Slavkin, Dmitry Denisenko

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Tags: AES, Block Ciphers, Computer science, nVidia, Security

July 5, 2011 by hgpu

Using Graphic Processing Unit in Block Cipher Calculations (thesis)

Urmas Rosenberg

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Source codes

Tags: AES, Block Ciphers, Cg, Computer science, CUDA, nVidia, nVidia GeForce 6800 GT, nVidia GeForce 8800 GTS, OpenGL, Package, Security, Thesis

July 5, 2011 by hgpu

AES Algorithm Adapted on GPU Using CUDA for Small Data and Large Data Volume Encryption

Tomoiaga Radu Daniel, Stratulat Mircea

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Tags: AES, Computer science, CUDA, nVidia, nVidia GeForce 8800 GT, Security

July 5, 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

Flexible OpenCL accelerated disparity estimation for video communication applications

Pseudo-random number generation for Brownian Dynamics and Dissipative Particle Dynamics simulations on GPU devices

A Fast, GPU based, Dictionary Attack to OpenPGP Secret Keyrings

A straightforward CUDA implementation for interactive ray-tracing

High Performance Matrix Inversion on a Multi-core Platform with Several GPUs

Interactive visualization of streaming data with Kernel Density Estimation

AES on GPU: a CUDA Implementation

AES and DES Encryption with GPU

Design of a parallel AES for graphics hardware using the CUDA framework

Implementing AES on GPU: Final Report

Using Graphic Processing Unit in Block Cipher Calculations (thesis)

AES Algorithm Adapted on GPU Using CUDA for Small Data and Large Data Volume Encryption

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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