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Flip-Flop: Convex Hull Construction via Star-Shaped Polyhedron in 3D

Mingcen Gao, Thanh-Tung Cao, Tiow-Seng Tan, Zhiyong Huang

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Triangular meshes

January 18, 2013 by hgpu

Performance Analysis and Tuning For: General-Purpose Graphics Processing Units (GPGPU)

Hyesoon Kim, Richard Vuduc, Wen-mei Hwu, Sara Baghsorkhi

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Tags: Algorithms, Book, Computer science, CUDA, Fast multipole method, N-body simulation, nVidia, OpenCL, Optimization, Particle simulation, Performance, Review

January 17, 2013 by hgpu

A GPU Based Implementation of Side Effect Analysis

Sudhakar Sah, Vinay G. Vaidya

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Tags: Algorithms, Compilers, Computer science, CUDA, nVidia, nVidia GeForce GTX 480

January 17, 2013 by hgpu

Burrows-Wheeler Aligner: A Parallel Approach

Sheridan Lee Wright

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Tags: Algorithms, Bioinformatics, Biology, CUDA, MPI, nVidia, Sequence alignment, Thesis

January 16, 2013 by hgpu

Efficient implementation of multiuser precoding algorithms on GPU for MIMO-OFDM systems

Fernando Domene, Sandra Roger, Carla Ramiro, Gema Pinero, Alberto Gonzalez

Tags: Algorithms, CUDA, MIMO, nVidia, nVidia Quadro FX 5800, Signal processing

January 16, 2013 by hgpu

On the Use of Graphic Processing Units for the Efficient Implementation of MIMO Detectors

Sandra Roger, Carla Ramiro, Alberto Gonzalez, Vicenc Almenar, Antonio M. Vidal

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Tags: Algorithms, CUDA, MIMO, nVidia, Signal processing, Tesla C2070

January 16, 2013 by hgpu

Analytic Visibility on the GPU

T. Auzinger, M. Wimmer, S. Jescke

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, Image generation, nVidia, nVidia GeForce GTX 680, Rendering, Triangular meshes

January 16, 2013 by hgpu

Three Dimensional Fast Fourier Transform CUDA Implementation

Kumar Aatish, Boyan Zhang

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

January 15, 2013 by hgpu

Ray Tracing in Real-Time Games

J. Bikker

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, Games, Image generation, nVidia, nVidia GeForce GTX 470, Rasterization, Raytracing, Rendering, Thesis

January 15, 2013 by hgpu

HiDP: A Hierarchical Data Parallel Language

Yongpeng Zhang, Frank Mueller

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Tags: Algorithms, Computer science, CUDA, Data parallelism, High-level Languages, nVidia, nVidia GeForce GTX 480

January 13, 2013 by hgpu

Toward Practical Real-Time Photon Mapping: Efficient GPU Density Estimation

Michael Mara, David Luebke, Morgan McGuire

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, Image generation, nVidia, nVidia GeForce GTX 670, Rendering

January 13, 2013 by hgpu

Parallel Catmull-Rom Spline Interpolation Algorithm for Image Zooming Based on CUDA

Tunhua Wu, Baogang Bai, Ping Wang

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce 9600 GT

January 12, 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

Programming

Flip-Flop: Convex Hull Construction via Star-Shaped Polyhedron in 3D

Performance Analysis and Tuning For: General-Purpose Graphics Processing Units (GPGPU)

A GPU Based Implementation of Side Effect Analysis

Burrows-Wheeler Aligner: A Parallel Approach

Efficient implementation of multiuser precoding algorithms on GPU for MIMO-OFDM systems

On the Use of Graphic Processing Units for the Efficient Implementation of MIMO Detectors

Analytic Visibility on the GPU

Three Dimensional Fast Fourier Transform CUDA Implementation

Ray Tracing in Real-Time Games

HiDP: A Hierarchical Data Parallel Language

Toward Practical Real-Time Photon Mapping: Efficient GPU Density Estimation

Parallel Catmull-Rom Spline Interpolation Algorithm for Image Zooming Based on 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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