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GPU Computing in Discrete Optimization. Part I: Introduction to the GPU

Andre R. Brodtkorb, Trond R. Hagen, Christian Schulz, Geir Hasley

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, Optimization, Tutorial

August 12, 2013 by hgpu

Parallel Simulations for Analysing Portfolios of Catastrophic Event Risk

Aman Bahl, Oliver Baltzer, Andrew Rau-Chaplin, Blesson Varghese

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Tags: Algorithms, Computational Engineering, Computer science, CUDA, Finance, Monte Carlo simulation, nVidia, Stochastic simulation, Tesla C2075

August 12, 2013 by hgpu

A Memory Efficient Algorithm for Adaptive Multidimensional Integration with Multiple GPUs

Kamesh Arumugam, Alexander Godunov, Desh Ranjan, Balsa Terzic, Mohammad Zubair

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Tags: Algorithms, Computer science, CUDA, Mathematics, MPI, nVidia, Optimization, Package, Tesla M2090

August 12, 2013 by hgpu

A Parallel Algorithm for Calculation of Large Determinants with High Accuracy for GPUs and MPI clusters

Gleb Beliakov, Yuri Matiyasevich

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Tags: Algorithms, Computer science, CUDA, Mathematical Software, MPI, Number Theory, Numerical Analysis, nVidia, Tesla C2070

August 12, 2013 by hgpu

Heterogeneous Computing for Real-Time Stereo Matching

A. AL-Marakeby, M. Zaki

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Tags: Algorithms, Computer science, Computer vision, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GT 610 M, Stereo vision

August 10, 2013 by hgpu

Analyzing Optimization Techniques for Power Efficiency on Heterogeneous Platforms

Yash Ukidave, David Kaeli

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Tags: Algorithms, ATI, ATI Radeon HD 7770, Computer science, FFT, Heterogeneous systems, nVidia, nVidia GeForce GTX 680, OpenCL, Power-efficient computing

August 10, 2013 by hgpu

PixelPie: Maximal Poisson-disk Sampling with Rasterization

Cheuk Yiu Ip, M. Adil Yalcin, David Luebke, Amitabh Varshney

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Tags: Algorithms, Computer science, CUDA, Image generation, nVidia, nVidia GeForce GTX 580, OpenGL, Rasterization

August 10, 2013 by hgpu

Finding Next Best Views for Autonomous UAV Mapping through GPU-Accelerated Particle Simulation

Benjamin Adler, Junhao Xiao, Jianwei Zhang

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 670, nVidia Quadro 2000, OpenGL, Package, Particle simulation

August 10, 2013 by hgpu

A GPU implementation of massively parallel direction splitting for the incompressible Navier-Stokes equations

Adam L. Preuss

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Tags: Algorithms, Fluid dynamics, Laplace and Poisson equation, nVidia, OpenCL, OpenGL, Poisson equation, Tesla M2075, Thesis

August 9, 2013 by hgpu

A GPGPU based program to solve the TDSE in intense laser fields through the finite difference approach

Cathal O Broin, L.A.A Nikolopoulos

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Tags: Algorithms, ATI, ATI Radeon HD 6970, Computational Physics, Finite difference, OpenCL, Physics, Quantum Physics

August 9, 2013 by hgpu

Multi-core CPU or GPU-accelerated Multiscale Modeling for Biomolecular Complexes

Tao Liao, Yongjie Zhang, Peter M. Kekenes-Huskey, Yuhui Cheng, Anushka Michailova, Andrew D. McCulloch, Michael Holst, J. Andrew McCammon

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Tags: Algorithms, Bioinformatics, Biology, Biomolecules, CUDA, KD-tree, Molecular surface, nVidia, nVidia GeForce GTX 680

August 9, 2013 by hgpu

GPU implementation of a shell element structural solver aimed at fluid-structure interaction problems

Andrea Bartezzaghi

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Tags: Algorithms, CUDA, FEM, Finite element method, Fluid dynamics, nVidia, nVidia GeForce GTX 470, nVidia GeForce GTX 670 M, Tesla M2070, Thesis

August 8, 2013 by hgpu

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

ThunderKittens: Tile primitives for speedy kernels

ParallelKittens: Systematic and Practical Simplification of Multi-GPU AI Kernels

NVIDIA Nemotron Parse 1.1

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

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

GPU Computing in Discrete Optimization. Part I: Introduction to the GPU

Parallel Simulations for Analysing Portfolios of Catastrophic Event Risk

A Memory Efficient Algorithm for Adaptive Multidimensional Integration with Multiple GPUs

A Parallel Algorithm for Calculation of Large Determinants with High Accuracy for GPUs and MPI clusters

Heterogeneous Computing for Real-Time Stereo Matching

Analyzing Optimization Techniques for Power Efficiency on Heterogeneous Platforms

PixelPie: Maximal Poisson-disk Sampling with Rasterization

Finding Next Best Views for Autonomous UAV Mapping through GPU-Accelerated Particle Simulation

A GPU implementation of massively parallel direction splitting for the incompressible Navier-Stokes equations

A GPGPU based program to solve the TDSE in intense laser fields through the finite difference approach

Multi-core CPU or GPU-accelerated Multiscale Modeling for Biomolecular Complexes

GPU implementation of a shell element structural solver aimed at fluid-structure interaction problems

Recent source codes

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

hls4ml: Machine learning on FPGAs using HLS

ThunderKittens: Tile primitives for speedy kernels

NVIDIA Nemotron Parse 1.1

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

HipKittens: Fast and Furious AMD Kernels

Fortran xDSL dialects

mt4g: Memory Topology 4 GPUs

Falcon: GPU-Based Floating-point Adaptive Lossless Compression

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

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