high performance computing on graphics processing units: hgpu.org

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Implicit Adaptive Volume Ray Casting

Rohit Nigam, Surinder Sood

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, Image generation, nVidia, nVidia GeForce GTX 580

May 19, 2013 by hgpu

Parallel Selectivity Estimation for Optimizing Multidimensional Spatial Join Processing on GPUs

Jianting Zhang, Simin You, Le Gruenwald

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Tags: Computer science, CUDA, Databases, nVidia, nVidia Quadro FX 6000

May 19, 2013 by hgpu

Solving the Coalition Structure Generation Problem on a GPU

Kim Svensson, Sarvapali D. Ramchurn, Francisco Cruz, Juan-Antonio Rodriguez-Aguilar, Jesus Cerquides

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 660 Ti, Optimization

May 19, 2013 by hgpu

In-Place Recursive Approach for All-Pairs Shortest Paths Problem Using OpenCL

Manish Pandey, Himanshu Pandey, Sanjay Sharma

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Tags: Algorithms, ATI, ATI Radeon HD 6850, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GT 630 M, OpenCL

May 19, 2013 by hgpu

Secrets from the GPU

Jean-Marie Chauvet, Eric Mahe

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Tags: Computer science, Modular arithmetic, nVidia, nVidia GeForce GTX 275, OpenCL, RSA, Security

May 17, 2013 by hgpu

GPU-based Numerical Integration in the Partition of Unity Method

Sebastian Kanis

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Tags: Computer science, CUDA, Differential equations, Mathematics, nVidia, nVidia GeForce GTX 560 Ti, Partial differential equations, PDEs, Tesla K20, Thesis

May 17, 2013 by hgpu

Performance Evaluation of CPU-GPU communication Depending on the Characteristic of Co-Located Workloads

Dongyou Seo, Shin-gyu Kim, Hyeonsang Eom, Heon Y. Yeom

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Tags: CUDA, nVidia, nVidia GeForce GTX 580, Performance

May 17, 2013 by hgpu

Extended Data Collection: Analysis of Cache Behavior and Performance of Different BVH Memory Layouts for Tracing Incoherent Rays

Andre Schulz, Sven Widmer, Dominik Wodniok, Michael Goesele

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 680, Raytracing, Tesla C2070, Tesla K20, Visualization

May 16, 2013 by hgpu

Analyzing Locality of Memory References in GPU Architectures

Saurabh Gupta, Ping Xiang, Huiyang Zhou

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Tags: Computer science, GPGPU-sim, Matrix multiplication, nVidia, nVidia GeForce GTX 480

May 16, 2013 by hgpu

CUDA implementation of the solution of a system of linear equations arising in an hp-Finite Element code

Javier Oses Villanueva

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Tags: Algorithms, Computer science, CUDA, Differential equations, Finite element method, Laplace and Poisson equation, Linear Algebra, nVidia, Thesis

May 15, 2013 by hgpu

Perturbation Functions in Computer Graphics

Sergey I. Vyatkin, Boris S. Dolgovesov, Mikhail A. Gorodilov

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Tags: Algorithms, Computer science, CUDA, DirectX, nVidia, nVidia GeForce 8800 GTX, Rendering, Visualization

May 15, 2013 by hgpu

Interaction and Visualization Techniques for Immersive Exploration and Perception of 3D datasets

Nan Wang

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Tags: Computer science, nVidia, nVidia Quadro FX 5600, OpenGL, Rendering, Thesis, Virtual reality, Visualization

May 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

Implicit Adaptive Volume Ray Casting

Parallel Selectivity Estimation for Optimizing Multidimensional Spatial Join Processing on GPUs

Solving the Coalition Structure Generation Problem on a GPU

In-Place Recursive Approach for All-Pairs Shortest Paths Problem Using OpenCL

Secrets from the GPU

GPU-based Numerical Integration in the Partition of Unity Method

Performance Evaluation of CPU-GPU communication Depending on the Characteristic of Co-Located Workloads

Extended Data Collection: Analysis of Cache Behavior and Performance of Different BVH Memory Layouts for Tracing Incoherent Rays

Analyzing Locality of Memory References in GPU Architectures

CUDA implementation of the solution of a system of linear equations arising in an hp-Finite Element code

Perturbation Functions in Computer Graphics

Interaction and Visualization Techniques for Immersive Exploration and Perception of 3D datasets

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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