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An Adaptive Multiresolution Mesh Representation for CPU-GPU Coupled Computation

Andre Maximo, Luiz Velho, Marcelo Siqueira

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce GTX 560 Ti, OpenGL, Visualization

November 21, 2012 by hgpu

Pattern Recognition with OpenCL Heterogeneous Platform

Jordan Vrtanoski, Toni Draganov Stojanovski

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Tags: Algorithms, ATI, ATI Radeon HD 5870, Computer science, Heterogeneous systems, Neural networks, OpenCL, Pattern recognition

November 21, 2012 by hgpu

Dataflow-driven GPU performance projection for multi-kernel transformations

Jiayuan Meng, Vitali A. Morozov, Venkatram Vishwanath, Kalyan Kumaran

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Tags: Computer science, CUDA, nVidia, nVidia Quadro FX 5600, Performance, Tesla C1060

November 20, 2012 by hgpu

Accelerating MapReduce on a coupled CPU-GPU architecture

Linchuan Chen, Xin Huo, Gagan Agrawal

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Tags: APU, ATI, ATI Radeon HD 6550, Computer science, Data mining, Heterogeneous systems, Machine learning, MapReduce, OpenCL

November 20, 2012 by hgpu

A scalable, numerically stable, high-performance tridiagonal solver using GPUs

Li-Wen Chang, John A. Stratton, Hee-Seok Kim, Wen-Mei W. Hwu

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Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 480, Package, Tesla M2070

November 20, 2012 by hgpu

MPC Toolbox with GPU Accelerated Optimization Algorithms

Nicolai Fog Gade-Nielsen, John Bagterp Jorgensen, Bernd Dammann

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Tags: Algorithms, Computer science, CUDA, nVidia, Optimization, Tesla C2050

November 20, 2012 by hgpu

Parallel Search of k-Nearest Neighbors with Synchronous Operations

Nikos Sismanis, Nikos Pitsianis, Xiaobai Sun

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Tags: Algorithms, Computer science, CUDA, Nearest neighbour, nVidia, nVidia GeForce GTX 480

November 19, 2012 by hgpu

Auto-tunable GPU BLAS (thesis)

Geir Josten Lien

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Tags: ATI, ATI Radeon HD 5870, Benchmarking, Computer science, MPI, nVidia, nVidia GeForce GTX 570, OpenCL, Package, Tesla C2050, Thesis

November 18, 2012 by hgpu

Facial Recognition Using Neural Networks over GPGPU

Juan Pablo Balarini, Sergio Nesmachnow, Martin Rodriguez

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Tags: Computer science, Computer vision, CUDA, Neural networks, nVidia, nVidia GeForce GTS 450, nVidia GeForce GTX 480

November 18, 2012 by hgpu

Real-Time Hair Simulation and Rendering with OpenCL and OpenGL

Mathieu Le Muzic

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce GTX 320 M, OpenCL, OpenGL, Rendering

November 18, 2012 by hgpu

High locality and increased intra-node parallelism for solving finite element models on GPUs by novel element-by-element implementation

Imre Kiss, Zsolt Badics, Szabolcs Gyimothy, Jozsef Pavo

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Tags: Computer science, CUDA, FEM, Finite element method, Heterogeneous systems, nVidia, nVidia GeForce GTX 590

November 18, 2012 by hgpu

Accelerating SystemC Simulations using GPUs

Mahesh Nanjundappa, Anirudh Kaushik, Hiren D. Patel, Sandeep K. Shukla

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Tags: Computer science, CUDA, Design space exploration, nVidia

November 18, 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

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high performance computing on graphics processing units: hgpu.org

Applications

An Adaptive Multiresolution Mesh Representation for CPU-GPU Coupled Computation

Pattern Recognition with OpenCL Heterogeneous Platform

Dataflow-driven GPU performance projection for multi-kernel transformations

Accelerating MapReduce on a coupled CPU-GPU architecture

A scalable, numerically stable, high-performance tridiagonal solver using GPUs

MPC Toolbox with GPU Accelerated Optimization Algorithms

Parallel Search of k-Nearest Neighbors with Synchronous Operations

Auto-tunable GPU BLAS (thesis)

Facial Recognition Using Neural Networks over GPGPU

Real-Time Hair Simulation and Rendering with OpenCL and OpenGL

High locality and increased intra-node parallelism for solving finite element models on GPUs by novel element-by-element implementation

Accelerating SystemC Simulations using 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

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