high performance computing on graphics processing units: hgpu.org

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Mining Rare Features in Fingerprints Using Core Points and Triplet-based Features

Indira Munagani

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Tags: Algorithms, Biometrics, Computer science, CUDA, nVidia, nVidia GeForce GT 200, Thesis

January 11, 2014 by hgpu

Toward a Generic Hybrid CPU-GPU Parallelization of Divide-and-Conquer Algorithms

Alejandro Lopez-Ortiz, Alejandro Salinger, Robert Suderman

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Tags: Algorithms, ATI, ATI Radeon HD 5970, ATI Radeon HD 6530, Computer science, Heterogeneous systems, Hybrid computing, OpenCL

January 11, 2014 by hgpu

Integrating Occlusion Culling with Parallel LOD for Rendering Complex 3D Environments on GPU

Chao Peng, Yong Cao

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Tags: Algorithms, Computer science, CUDA, Mesh simplification, nVidia, nVidia Quadro 5000, OpenGL, Rendering, Thrust

January 10, 2014 by hgpu

Saddle Vertex Graph (SVG): A Novel Solution to the Discrete Geodesic Problem

Xiang Ying, Xiaoning Wang, Ying He

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, Geodesic Distances, nVidia, Tesla K20, Tessellation

January 10, 2014 by hgpu

Parallel Algorithm for BSDEs Based High Dimensional American Option Pricing on the GPU

Ying Peng, Hui Liu, Shuzhen Yang, Bin Gong

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Tags: Algorithms, CUDA, Differential equations, Finance, nVidia, Tesla C2050

January 10, 2014 by hgpu

Efficient Emission Computation in Hidden Semi-Markov Models on Diverse Hardware

Greg Durrett, Taylor Berg-Kirkpatrick

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Tags: Algorithms, Computer science, CUDA, Image recognition, nVidia, nVidia GeForce GTX 580

January 9, 2014 by hgpu

Real Time KAP Systems for Image Enhancement/Reconstruction of Remote Sensing Imagery

A. Castillo Atoche, O. Palma Marrufo, R. Quijano Cetina, A. Espinosa-Romero, M. Maya Mendez

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTS 450, Sensing

January 9, 2014 by hgpu

Fast Effective Deterministic Primality Test Using CUDA/GPGPU

Abu Asaduzzaman, Anindya Maiti, Chok M. Yip

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Tags: Algorithms, Computer science, CUDA, nVidia, Security, Tesla C2075

January 9, 2014 by hgpu

Multicore Computing: Algorithms, Architectures, and Applications

Sanguthevar Rajasekaran, Lance Fiondella, Mohamed Ahmed, Reda A. Ammar

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Tags: Algorithms, Biology, Book, Computer science, CUDA, Linear Algebra, nVidia, String matching, Tesla

January 6, 2014 by hgpu

The Parallel Bayesian Toolbox for High-performance Bayesian Filtering in Metrology

E. Garcia, T. Hausotte

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Source codes

Tags: Algorithms, Bayesian, CUDA, Filtering, nVidia, Package, Particle filtering, Physics, Probability, Tesla C2075

January 6, 2014 by hgpu

Real-Time Radio Wave Propagation for Mobile Ad-Hoc Network Emulation using GPGPUs

Brian J. Henz, David Richie, Evens Jean, Song Jun Park, James A. Ross, Dale R. Shires

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Tags: Algorithms, ATI, ATI Radeon HD 5870, ATI Radeon HD 6970, nVidia, OpenCL, Raytracing, Signal processing, Tesla C2070

January 5, 2014 by hgpu

Large scale 3D shape retrieval by exploiting multi-core and GPU

M. Benjelloun, E.W. Dadi, E.M. Daoudi

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GT 610, SIFT

January 5, 2014 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

Mining Rare Features in Fingerprints Using Core Points and Triplet-based Features

Toward a Generic Hybrid CPU-GPU Parallelization of Divide-and-Conquer Algorithms

Integrating Occlusion Culling with Parallel LOD for Rendering Complex 3D Environments on GPU

Saddle Vertex Graph (SVG): A Novel Solution to the Discrete Geodesic Problem

Parallel Algorithm for BSDEs Based High Dimensional American Option Pricing on the GPU

Efficient Emission Computation in Hidden Semi-Markov Models on Diverse Hardware

Real Time KAP Systems for Image Enhancement/Reconstruction of Remote Sensing Imagery

Fast Effective Deterministic Primality Test Using CUDA/GPGPU

Multicore Computing: Algorithms, Architectures, and Applications

The Parallel Bayesian Toolbox for High-performance Bayesian Filtering in Metrology

Real-Time Radio Wave Propagation for Mobile Ad-Hoc Network Emulation using GPGPUs

Large scale 3D shape retrieval by exploiting multi-core and GPU

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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