high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Computer science

Efficient Parallel Implementation of Active Appearance Model Fitting Algorithm on GPU

Jinwei Wang, Xirong Ma, Yuanping Zhu, Jizhou Sun

View

Download (PDF)

Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 650

January 26, 2014 by hgpu

A High-productivity Framework for Multi-GPU computation of Mesh-based applications

Takashi Shimokawabe, Takayuki Aoki, Naoyuki Onodera

View

Download (PDF)

Tags: Computer science, CUDA, Diffusion equation, MPI, nVidia, Tesla K20

January 25, 2014 by hgpu

Improvement of the fused CUDA kernels performance prediction

Peter Novak

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Performance, Thesis

January 25, 2014 by hgpu

OpenSSL acceleration using Graphics Processing Units

Pedro Miguel Costa Saraiva

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 580, OpenCL, Security, Thesis

January 23, 2014 by hgpu

On the Portability of the OpenCL Dwarfs on Fixed and Reconfigurable Parallel Platforms

Konstantinos Krommydas, Muhsen Owaida, Christos D. Antonopoulos, Nikolaos Bellas, Wu-chun Feng

View

Download (PDF)

Tags: APU, ATI, ATI Radeon HD 7970, Computer science, FPGA, Heterogeneous systems, Intel Xeon Phi, OpenCL

January 23, 2014 by hgpu

clpeak – peak performance of your opencl device

Krishnaraj Bhat

Source codes

Tags: ATI, Benchmarking, Computer science, nVidia, OpenCL, Package, Performance

January 23, 2014 by hgpu

Multi-GPU parallel memetic algorithm for capacitated vehicle routing problem

Michal Karpinski, Maciej Pacut

View

Download (PDF)

Tags: Computer science, CUDA, Neural and Evolutionary Computing, nVidia, OpenMPI, Tesla S2050

January 23, 2014 by hgpu

FlowTour: An Automatic Guide for Exploring Internal Flow Features

Jun Ma, James Walker, Chaoli Wang, Scott A. Kuhl, Ching-Kuang Shene

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Visualization

January 19, 2014 by hgpu

Finite-difference time-domain solver for room acoustics using graphics processing units

Jukka Saarelma

View

Download (PDF)

Tags: Acoustics, Computer science, CUDA, FDTD, Finite-difference time-domain, nVidia, nVidia GeForce GTX 690, Thesis, Visualization

January 19, 2014 by hgpu

High-performance and Embedded Systems for Cryptography

Samuel Freitas Antao

View

Download (PDF)

Tags: Algorithms, Computer science, Elliptic curves, FPGA, Modular arithmetic, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 285, nVidia GeForce GTX 580, OpenCL, Security

January 18, 2014 by hgpu

Supporting x86-64 Address Translation for 100s of GPU Lanes

Jason Power, Mark D. Hill, David A. Wood

View

Download (PDF)

Tags: Benchmarking, Computer science, CUDA, GPGPU-sim, Hardware Architecture, nVidia

January 18, 2014 by hgpu

Improving the Performance of CA-GMRES on Multicores with Multiple GPUs

Ichitaro Yamazaki, Hartwig Anzt, Stanimire Tomov, Mark Hoemmenx, Jack Dongarra

View

Download (PDF)

Tags: Computer science, CUDA, Linear Algebra, nVidia, Performance, Tesla M2090

January 18, 2014 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

* * *

high performance computing on graphics processing units: hgpu.org

Applications

Efficient Parallel Implementation of Active Appearance Model Fitting Algorithm on GPU

A High-productivity Framework for Multi-GPU computation of Mesh-based applications

Improvement of the fused CUDA kernels performance prediction

OpenSSL acceleration using Graphics Processing Units

On the Portability of the OpenCL Dwarfs on Fixed and Reconfigurable Parallel Platforms

clpeak – peak performance of your opencl device

Multi-GPU parallel memetic algorithm for capacitated vehicle routing problem

FlowTour: An Automatic Guide for Exploring Internal Flow Features

Finite-difference time-domain solver for room acoustics using graphics processing units

High-performance and Embedded Systems for Cryptography

Supporting x86-64 Address Translation for 100s of GPU Lanes

Improving the Performance of CA-GMRES on Multicores with Multiple GPUs

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

Most viewed papers (last 30 days)