high performance computing on graphics processing units: hgpu.org

hgpu.org » Algorithms

Implementation of the optimization algorithms on GPGPU architecture and multi-cores

Li Liang

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Neural networks, nVidia, OpenCL, Optimization

October 3, 2011 by hgpu

Parallel SAT-Solving with 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

October 3, 2011 by hgpu

Heterogeneous Computing with OpenCL

Benedict Gaster, David R. Kaeli, Lee Howes, Perhaad Mistry, Dana Schaa

View

Download (PDF)

Tags: Algorithms, Book, Computer science, Heterogeneous systems, OpenCL, Optimization, Tutorial

October 3, 2011 by hgpu

Towards robust automatic detection of vulnerable road users: monocular pedestrian tracking from a moving vehicle

Kristof Van Beeck, Floris De Smedt, Sander Beckers, Lars Struyf, Joost Vennekens, Gorik De Samblanx, Toon Goedeme, Tinne Tuytelaars

View

Download (PDF)

Tags: Algorithms, Computer science, Computer vision, nVidia, nVidia GeForce GTX 295, OpenCL

October 3, 2011 by hgpu

A New Class of Parallel Scheduling Algorithms

Wojciech Bozejko

View

Download (PDF)

Tags: Algorithms, Book, Computer science, CUDA, Metaheuristics, nVidia, Optimization, Programming techniques, Task scheduling, Tesla C1060, Tesla C2050

October 2, 2011 by hgpu

Development of a Chemically Reacting Flow Solver on the Graphic Processing Units

Hai Le

View

Download (PDF)

Tags: Algorithms, CUDA, Finite volume method, Fluid dynamics, nVidia, Optimization, Tesla C2050

October 2, 2011 by hgpu

An Execution Model and Runtime For Heterogeneous Many-Core Systems

Gregory Diamos

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce 9800 GX2, nVidia GeForce GTX 280, Optimization, Package, PTX, Tesla C1060, Tesla S870, Thesis

October 2, 2011 by hgpu

Parallel probabilistic model checking on general purpose graphics processors

Dragan Bosnacki, Stefan Edelkamp, Damian Sulewski, Anton Wijs

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 285, Probabilistic model checking

October 2, 2011 by hgpu

Parallel Computing based on GPGPU using Compute Unified Device Architecture

Lifeng Xu

View

Download (PDF)

Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 580, OpenMP, Optimization, Thesis

October 1, 2011 by hgpu

Accelerating Vector Calculations on GPU

Karol Grondzak, Penka Martincova, Ondrej Such

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia, Performance, Tesla C1060, Tutorial

October 1, 2011 by hgpu

Large Scale DNA Sequence Alignment and Kernel Method Implemented with GPUs

Songwen Pei, Wenhao Wang, Gang Wei, Baifeng Wu

View

Download (PDF)

Tags: Algorithms, ATI, ATI Radeon HD 4870, Bioinformatics, Biology, Brook, Sequence alignment

October 1, 2011 by hgpu

Interactive Soft Tissue for Surgical Simulation

Gregory S. Ruthenbeck

View

Download (PDF)

Tags: Algorithms, CUDA, Medicine, nVidia, nVidia GeForce GTX 280, Surgical simulation, Thesis, Virtual reality

October 1, 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

* * *

high performance computing on graphics processing units: hgpu.org

Implementation of the optimization algorithms on GPGPU architecture and multi-cores

Parallel SAT-Solving with OpenCL

Heterogeneous Computing with OpenCL

Towards robust automatic detection of vulnerable road users: monocular pedestrian tracking from a moving vehicle

A New Class of Parallel Scheduling Algorithms

Development of a Chemically Reacting Flow Solver on the Graphic Processing Units

An Execution Model and Runtime For Heterogeneous Many-Core Systems

Parallel probabilistic model checking on general purpose graphics processors

Parallel Computing based on GPGPU using Compute Unified Device Architecture

Accelerating Vector Calculations on GPU

Large Scale DNA Sequence Alignment and Kernel Method Implemented with GPUs

Interactive Soft Tissue for Surgical Simulation

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)