high performance computing on graphics processing units: hgpu.org

hgpu.org » Heterogeneous systems

Real-Time Implementation of the Pixel Purity Index Algorithm for Endmember Identification on GPUs

Xianyun Wu, Bormin Huang, Antonio Plaza, Yunsong Li, Chengke Wu

View

Tags: Algorithms, Computational Complexity, Heterogeneous systems, Image processing, nVidia, nVidia GeForce GTX 590, Tesla C1060

March 23, 2013 by hgpu

Stream Join Processing on Heterogeneous Processors

Tomas Karnagel, Benjamin Schlegel, Dirk Habich, Wolfgang Lehner

View

Download (PDF)

Tags: ATI, ATI Radeon HD 7660, Computer science, Heterogeneous systems, OpenCL

March 21, 2013 by hgpu

clMAGMA: High Performance Dense Linear Algebra with OpenCL

Chongxiao Cao, Jack Dongarra, Peng Du, Mark Gates, Piotr Luszczek, Stanimire Tomov

View

Download (PDF)

Source codes

Tags: Algorithms, ATI, ATI Radeon HD 7970, Computer science, Heterogeneous systems, Linear Algebra, nVidia, OpenCL, Package, Tesla S2050

March 18, 2013 by hgpu

Accelerating Computer Vision Algorithms Using OpenCL on Mobile GPU – A Case Study

Guohui Wang, Yingen Xiong, Jay Yun, Joseph R. Cavallaro

View

Download (PDF)

Tags: Algorithms, Computer science, Computer vision, Heterogeneous systems, OpenCL

March 16, 2013 by hgpu

Efficiency of Parallelization of Neural Network Algorithm on Graphic Cards

Dariusz Konieczny, Karol Radziszewski

View

Download (PDF)

Tags: Computer science, CUDA, Heterogeneous systems, Neural networks, nVidia, nVidia Quadro FX 3700 M, Tesla T10

March 16, 2013 by hgpu

Exploring power efficiency and optimizations targeting heterogeneous applications

Yash Sanjeev Ukidave

View

Download (PDF)

Tags: AMD Fusion, ATI, ATI Radeon HD 7770, Computer science, Energy-efficient computing, FFT, Heterogeneous systems, nVidia, nVidia GeForce GTX 680, OpenCL, Thesis

March 16, 2013 by hgpu

Prius: A Runtime for Hybrid Computing

Dominik Grewe

View

Download (PDF)

Tags: Computer science, Heterogeneous systems, Hybrid computing, OpenCL

March 15, 2013 by hgpu

Selection of Task Implementations in the Nanos++ Runtime

Judit Planas, Rosa M. Badia, Eduard Ayguade, Jesus Labarta

View

Download (PDF)

Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Tesla M2090

March 14, 2013 by hgpu

A Scalable Heterogeneous Parallelization Framework for Iterative Local Searches

Martin Burtscher, Hassan Rabeti

View

Download (PDF)

Tags: Computer science, CUDA, Heterogeneous systems, MPI, nVidia, Search, Tesla M2090

March 12, 2013 by hgpu

Accelerating Simulation of Agent-Based Models on Heterogeneous Architectures

Jin Wangy, Norman Rubinz, Haicheng Wuy, Sudhakar Yalamanchiliy

View

Download (PDF)

Tags: Algorithms, ATI, ATI Radeon HD 7660, ATI Radeon HD 7950, Computer science, Heterogeneous systems, OpenCL, Performance, Vehicular traffic

March 5, 2013 by hgpu

An efficient scheduling scheme using estimated execution time for heterogeneous computing systems

Hong Jun Choi, Dong Oh Son, Seung Gu Kang, Jong Myon Kim, Hsien-Hsin Lee, Cheol Hong Kim

View

Download (PDF)

Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce 8500 GT

February 22, 2013 by hgpu

Scheduling a Parallel Sparse Direct Solver to Multiple GPUs

Kyungjoo Kim

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Factorization, FEM, Finite element method, Heterogeneous systems, nVidia, Package, Sparse direct solvers, Task scheduling, Tesla M2070

February 21, 2013 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

Real-Time Implementation of the Pixel Purity Index Algorithm for Endmember Identification on GPUs

Stream Join Processing on Heterogeneous Processors

clMAGMA: High Performance Dense Linear Algebra with OpenCL

Accelerating Computer Vision Algorithms Using OpenCL on Mobile GPU – A Case Study

Efficiency of Parallelization of Neural Network Algorithm on Graphic Cards

Exploring power efficiency and optimizations targeting heterogeneous applications

Prius: A Runtime for Hybrid Computing

Selection of Task Implementations in the Nanos++ Runtime

A Scalable Heterogeneous Parallelization Framework for Iterative Local Searches

Accelerating Simulation of Agent-Based Models on Heterogeneous Architectures

An efficient scheduling scheme using estimated execution time for heterogeneous computing systems

Scheduling a Parallel Sparse Direct Solver to 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)