high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Computer science

Simulating spiking neural networks on GPU

Romain Brett

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX 580, Package, Python, Review

September 19, 2012 by hgpu

Parallelization of a Block-Matching Algorithm

Matteo Maggioni

View

Download (PDF)

Tags: Algorithms, Computer science, nVidia, nVidia GeForce 9400 M, OpenCL

September 19, 2012 by hgpu

Beauty And The Beast: Exploiting GPUs In Haskell

Alex Cole, Alistair McEwan, Geoffrey Mainland

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Haskell, nVidia, nVidia GeForce GTX 460, Package

September 19, 2012 by hgpu

Implementation of QR Updating Algorithms on the GPU

Robert Andrew

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Numerical Analysis, nVidia, Tesla M2050, Thesis

September 18, 2012 by hgpu

The Architecture and Evolution of CPU-GPU Systems for General Purpose Computing

Manish Arora

View

Download (PDF)

Tags: Computer science, Heterogeneous systems, Review

September 18, 2012 by hgpu

High-throughput Execution of Hierarchical Analysis Pipelines on Hybrid Cluster Platforms

George Teodoro, Tony Pan, Tahsin M. Kurc, Jun Kong, Lee A. D. Cooper, Joel H. Saltz

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, Optimization, Prefetch, Task scheduling, Tesla M2090

September 18, 2012 by hgpu

Efficient Irregular Wavefront Propagation Algorithms on Hybrid CPU-GPU Machines

George Teodoro, Tony Pan, Tahsin Kurc, Jun Kong, Lee Cooper, Joel Saltz

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Distance transform, Heterogeneous systems, Image processing, nVidia, Tesla M2090

September 18, 2012 by hgpu

A Simulation Framework for Scheduling Performance Evaluation on CPU-GPU Heterogeneous System

Flavio Vella, Igor Neri, Osvaldo Gervasi, Sergio Tasso

View

Download (PDF)

Tags: Computer science, Heterogeneous systems, nVidia, OpenCL, Operating systems

September 17, 2012 by hgpu

A GPU operations framework for WattDB

Vitor Uwe Reus

View

Download (PDF)

Tags: Computer science, CUDA, Databases, nVidia, nVidia GeForce GT 430, Thesis

September 17, 2012 by hgpu

Parallel hybrid SAT solving using OpenCL

Sander Beckers, Gorik De Samblanx, Floris De Smedt, Toon Goedeme, Lars Struyf, Joost Vennekens

View

Download (PDF)

Tags: Algorithms, Computer science, nVidia, OpenCL, SAT, Tesla C2075

September 17, 2012 by hgpu

Parallel Benefit on Different Programming Paradigms

Chau-Yi Chou, Sheng-Hsiu Kuo, Chih-Wei Hsieh, Tsung-Che Tsai, Hsi-Ya Chang

View

Download (PDF)

Tags: Benchmarking, Computer science, CUDA, GPU cluster, MPI, nVidia, nVidia GeForce GT 200, OpenMP, Performance

September 16, 2012 by hgpu

Real-time Kd-tree Based Importance Sampling of Environment Maps

Serkan Ergun, Murat Kurt, Aydin Ozturk

View

Download (PDF)

Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, KD-tree, Monte Carlo integration, nVidia, nVidia GeForce GTX 480

September 15, 2012 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

Simulating spiking neural networks on GPU

Parallelization of a Block-Matching Algorithm

Beauty And The Beast: Exploiting GPUs In Haskell

Implementation of QR Updating Algorithms on the GPU

The Architecture and Evolution of CPU-GPU Systems for General Purpose Computing

High-throughput Execution of Hierarchical Analysis Pipelines on Hybrid Cluster Platforms

Efficient Irregular Wavefront Propagation Algorithms on Hybrid CPU-GPU Machines

A Simulation Framework for Scheduling Performance Evaluation on CPU-GPU Heterogeneous System

A GPU operations framework for WattDB

Parallel hybrid SAT solving using OpenCL

Parallel Benefit on Different Programming Paradigms

Real-time Kd-tree Based Importance Sampling of Environment Maps

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)