Algorithms | Page 179

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A toolkit to describe and interactively display three-manifolds embedded in four-space

Don V. Black

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Tags: Algorithms, Computer science, OpenGL, Visualization

February 6, 2012 by hgpu

Comparing Linear and Convex Relaxations for Stereo and Motion

Thomas Schoenemann

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

February 5, 2012 by hgpu

A Fast Parallel Implementation of Queue-based Morphological Reconstruction using GPUs

George Teodoro, Tony Pan, Tahsin M. Kurc, Lee Cooper, Jun Kong, Joel H. Saltz

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Tags: Algorithms, CUDA, Image processing, Microscopy, nVidia, nVidia GeForce GTX 580, Tesla C2070

February 5, 2012 by hgpu

Performance Evaluation of Particle Swarm Optimization Algorithms on GPU Using CUDA

V. Krishna Reddy, L.S.S. Reddy

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Tags: Algorithms, Computer science, CUDA, Evolutionary Computations, nVidia, nVidia GeForce GTS 250, Optimization

February 5, 2012 by hgpu

Raytracing Dynamic Scenes on GPU

Sashidhar Guntury

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Raytracing, Rendering, Sorting, Thesis

January 31, 2012 by hgpu

An OpenCL implementation for the solution of TDSE on GPU and CPU architectures

Cathal O'Broin, Lampros A. A. Nikolopoulos

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Tags: Algorithms, ATI, ATI FirePro V7800, Computational Physics, Differential equations, nVidia, ODEs, OpenCL, Ordinary differential equations, Physics, Quantum Physics, Tesla S1070

January 31, 2012 by hgpu

Algorithmic Contributions to the Theory of Regular Chains

Wei Pan

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Tags: Algorithms, Computer science, CUDA, FFT, nVidia, nVidia GeForce GTX 285, Symbolic Computation, Tesla C2050, Thesis

January 30, 2012 by hgpu

On CUDA implementation of a multichannel room impulse response reshaping algorithm based on p-norm optimization

Radoslaw Mazur, Jan Ole Jungmann, Alfred Mertins

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Tags: Acoustics, Algorithms, Computer science, CUDA, nVidia, Optimization, Tesla M2050

January 30, 2012 by hgpu

How well do STARLAB and NBODY compare? II: Hardware and accuracy

P. Anders, H. Baumgardt, E. Gaburov, S. Portegies Zwart

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Tags: Algorithms, Astrophysics, Cosmology and Extragalactic Astrophysics, Galaxy Astrophysics, GPU cluster, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia, nVidia GeForce 9800 GX2

January 30, 2012 by hgpu

CUDA Expression Templates

Paul Wiemann, Stephan Wenger, Marcus Magnor

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Source codes

Tags: Algorithms, Computer science, CUBLAS, CUDA, Linear Algebra, nVidia, nVidia GeForce GTS 250, Package

January 30, 2012 by hgpu

Performance Evaluation of Query Processing Algorithms on GPGPUs

Vassil Hristov

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Tags: Algorithms, Computer science, Databases, nVidia, nVidia GeForce 9400 M, nVidia GeForce 9600 M GT, OpenCL, Thesis

January 30, 2012 by hgpu

Solving Discrete Logarithms in Smooth-Order Groups with CUDA

Ryan Henry, Ian Goldberg

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Source codes

Tags: Algorithms, Computer science, CUDA, nVidia, Package, PTX, Security, Tesla M2050

January 29, 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

Programming

A toolkit to describe and interactively display three-manifolds embedded in four-space

Comparing Linear and Convex Relaxations for Stereo and Motion

A Fast Parallel Implementation of Queue-based Morphological Reconstruction using GPUs

Performance Evaluation of Particle Swarm Optimization Algorithms on GPU Using CUDA

Raytracing Dynamic Scenes on GPU

An OpenCL implementation for the solution of TDSE on GPU and CPU architectures

Algorithmic Contributions to the Theory of Regular Chains

On CUDA implementation of a multichannel room impulse response reshaping algorithm based on p-norm optimization

How well do STARLAB and NBODY compare? II: Hardware and accuracy

CUDA Expression Templates

Performance Evaluation of Query Processing Algorithms on GPGPUs

Solving Discrete Logarithms in Smooth-Order Groups with CUDA

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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