high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Computer science

Tesla vs. Xeon Phi vs. Radeon A Compiler Writer’s Perspective

Brent Leback, Douglas Miles, Michael Wolfe

View

Download (PDF)

Tags: ATI, Compilers, Computer science, Intel Xeon Phi, nVidia, OpenCL, Performance, Tesla

December 18, 2013 by hgpu

Data Structures for Task-based Priority Scheduling

Martin Wimmer, Daniel Cederman, Francesco Versaci, Jesper Larsson Traff, Philippas Tsigas

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, Intel Xeon Phi, Package, Task scheduling

December 17, 2013 by hgpu

Development methodologies for GPU and cluster of GPUs

Sylvain Contassot-Vivier, Stephane Vialle, Jens Gustedt

View

Download (PDF)

Tags: Computer science, CUDA, GPU cluster, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580

December 17, 2013 by hgpu

Parallel Firewalls on General-Purpose Graphics Processing Units

Kamal Chandra Reddy, Ankit Tharwani, Ch.Vamshi Krishna, Lakshminarayanan.V

View

Download (PDF)

Tags: Computer science, CUDA, Databases, Network communications, nVidia, nVidia Quadro FX 1700, Security

December 17, 2013 by hgpu

Ray-Traced Collision Detection: Interpenetration Control and Multi-GPU Performance

Francois Lehericey, Valerie Gouranton, Bruno Arnaldi

View

Download (PDF)

Tags: Algorithms, Collision detection, Computer science, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 660, OpenCL, Raytracing

December 16, 2013 by hgpu

A Cloud Computing Service Architecture of a Parallel Algorithm Oriented to Scientific Computing with CUDA and Monte Carlo

Ji Yimu, Kuang Zizhuo, Pan Qiao Yu, Sun Yanpeng, Kang Jiangbang, Huang Wei

View

Download (PDF)

Tags: Algorithms, Cloud, Computer science, CUDA, Monte Carlo simulation, nVidia

December 16, 2013 by hgpu

A GPU Implementation of Dynamic Programming for the Optimal Polygon Triangulation

Yasuaki Ito, Koji Nakano

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 680, Programming techniques

December 15, 2013 by hgpu

A Distributed Approximation Algorithm for Mixed Packing-Covering Linear Programs

Faraz Makari, Rainer Gemulla

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX Titan

December 15, 2013 by hgpu

Real time Multi-GPU-based Event Detection in High Definition Videos

Sidi Ahmed Mahmoudi, Pierre Manneback

View

Download (PDF)

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

December 15, 2013 by hgpu

Data Transfer Matters for GPU Computing

Yusuke Fujii, Takuya Azumi, Nobuhiko Nishio, Shinpei Kato, Masato Edahiro

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, Package, Performance

December 13, 2013 by hgpu

GPU hardware acceleration for industrial applications: using computation to push beyond physical limitations

Mohammadhossein Afrasiabi

View

Download (PDF)

Tags: Algorithms, Collision detection, Computer science, CUDA, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 580, nVidia GeForce GTX 590, Rendering, Sensing, Software Engineering, Thesis

December 13, 2013 by hgpu

All-pairs Shortest Path Algorithm based on MPI+CUDA Distributed Parallel Programming Model

Wu Qingshuang, Tong Chunya, Wang Qiang, Cheng Xiangfu

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, GPU cluster, MPI, nVidia, nVidia GeForce GT 410 M, Path problems

December 13, 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

Applications

Tesla vs. Xeon Phi vs. Radeon A Compiler Writer’s Perspective

Data Structures for Task-based Priority Scheduling

Development methodologies for GPU and cluster of GPUs

Parallel Firewalls on General-Purpose Graphics Processing Units

Ray-Traced Collision Detection: Interpenetration Control and Multi-GPU Performance

A GPU Implementation of Dynamic Programming for the Optimal Polygon Triangulation

A Distributed Approximation Algorithm for Mixed Packing-Covering Linear Programs

Real time Multi-GPU-based Event Detection in High Definition Videos

Data Transfer Matters for GPU Computing

GPU hardware acceleration for industrial applications: using computation to push beyond physical limitations

All-pairs Shortest Path Algorithm based on MPI+CUDA Distributed Parallel Programming Model

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)