high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications » Computer science

GPU-Accelerated Scalable Solver for Banded Linear Systems

Hang Liu, Jung-Hee Seo, Rajat Mittal, H. Howie Huang

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Tags: Computer science, CUDA, Diffusion equation, Matrix decomposition, MPI, nVidia, OpenMPI, Poisson equation, Tesla M2050, Tesla M2090

August 16, 2013 by hgpu

Lossless LZW Data Compression Algorithm on CUDA

Shyni K, Manoj Kumar KV

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Tags: Algorithms, Compression, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 680

August 16, 2013 by hgpu

Towards Path Tracing in Games

Jacco Bikker, Jeroen van Schijndel

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 470, Raytracing, Rendering

August 16, 2013 by hgpu

Parallel Gravitation Field Algorithm Based on the CUDA Platform

Guang Rong, Guixia Liu, Ming Zheng, An Sun, Yuan Tian, Han Wang

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GT 440, Search

August 15, 2013 by hgpu

General Transformations for GPU Execution of Tree Traversals

Michael Goldfarb, Youngjoon Jo, Milind Kulkarni

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Tags: Algorithms, Compilers, Computer science, CUDA, KD-tree, nVidia, Performance, Tesla C2070

August 15, 2013 by hgpu

Programming Dense Linear Algebra Kernels on Vectorized Architectures

Jonathan Lawrence Peyton

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Tags: Algorithms, Computer science, Intel Phi, Linear Algebra, Thesis

August 15, 2013 by hgpu

First experiences with the Intel MIC architecture at LRZ

Volker Weinberg, Momme Allalen

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Tags: Computer science, Intel, Intel Phi, OpenMP, Performance

August 15, 2013 by hgpu

Detecting Data Races on OpenCL Kernels with Symbolic Execution

Dino Distefano, Jeremy Dubreil

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Tags: Computer science, OpenCL, Programming Languages

August 15, 2013 by hgpu

The Yin and Yang of Processing Data Warehousing Queries on GPU Devices

Yuan Yuan, Rubao Lee, Xiaodong Zhang

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Source codes

Tags: Analytical model, ATI, ATI Radeon HD 7970, Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580, nVidia GeForce GTX 680, OpenCL, Package

August 14, 2013 by hgpu

An Automated Video Surveillance System Using Viewpoint Feature Histogram and CUDA-enabled GPUs

Saurabh Jha, Priyank Trivedi

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Tags: Computer science, Computer vision, CUDA, nVidia, Tesla M2050

August 14, 2013 by hgpu

Exploiting the Parallelism of Heterogeneous Systems using Dataflow Graphs on Top of OpenCL

Lars Schor, Andreas Tretter, Tobias Scherer, Lothar Thiele

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Tags: ATI, ATI Radeon HD 7750, Computer science, Graph theory, Heterogeneous systems, nVidia, nVidia GeForce GTX 670, nVidia Quadro K 2000 M, OpenCL, Task scheduling

August 13, 2013 by hgpu

Barrier Invariants: A Shared State Abstraction for the Analysis of Data-Dependent GPU Kernels

Nathan Chong, Alastair F. Donaldson, Paul H.J. Kelly, Jeroen Ketema, Shaz Qadeer

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Tags: Algorithms, Computer science, CUDA, OpenCL, Package, Performance

August 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

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high performance computing on graphics processing units: hgpu.org

Applications

GPU-Accelerated Scalable Solver for Banded Linear Systems

Lossless LZW Data Compression Algorithm on CUDA

Towards Path Tracing in Games

Parallel Gravitation Field Algorithm Based on the CUDA Platform

General Transformations for GPU Execution of Tree Traversals

Programming Dense Linear Algebra Kernels on Vectorized Architectures

First experiences with the Intel MIC architecture at LRZ

Detecting Data Races on OpenCL Kernels with Symbolic Execution

The Yin and Yang of Processing Data Warehousing Queries on GPU Devices

An Automated Video Surveillance System Using Viewpoint Feature Histogram and CUDA-enabled GPUs

Exploiting the Parallelism of Heterogeneous Systems using Dataflow Graphs on Top of OpenCL

Barrier Invariants: A Shared State Abstraction for the Analysis of Data-Dependent GPU Kernels

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

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