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GPU Acceleration of a Genetic Algorithm for the Synthesis of FSM-based Bimodal Predictors

Martin Burtscher, Hassan Rabeti

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Tags: Algorithms, CAD, Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 680

June 4, 2013 by hgpu

CUDA Leaks: Information Leakage in GPU Architectures

Roberto Di Pietro, Flavio Lombardi, Antonio Villani

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GT 640, Security, Tesla C2050

June 4, 2013 by hgpu

GPU-accelerated generation of correctly-rounded elementary functions

Pierre Fortin, Mourad Gouicem, Stef Graillat

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Tags: Algorithms, Computer science, CUDA, Elementary functions, nVidia, Tesla C2070

June 2, 2013 by hgpu

Novel Multi-Layer Network Decomposition Boosting Acceleration of Multi-core Algorithms

Athanasios K. Grivas, Terrence Maky, Alex Yakovlev, Jonny Wrayz

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 560

June 2, 2013 by hgpu

On GPU Fourier Transformations

Giso Dal

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Tags: Algorithms, Computer science, CUDA, FFT, nVidia, nVidia GeForce GTX 480, Thesis

June 2, 2013 by hgpu

Geometric Optimisation using Karva for Graphical Processing Units

A.V. Husselmann, K.A. Hawick

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Tags: Algorithms, Computer science, CUDA, Genetic programming, nVidia, Particle swarm optimization

May 31, 2013 by hgpu

Efficient GPU-based Graph Cuts for Stereo Matching

Young-kyu Choi, In Kyu Park

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 580, Stereo vision

May 29, 2013 by hgpu

On Leveraging GPUs for Security: discussing k-anonymity and pattern matching

Leonardo Jero

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Tags: Algorithms, ATI, ATI Radeon HD 6850, Computer science, nVidia, nVidia GeForce GT 640, OpenCL, Security, Tesla C2050, Tesla C2070, Thesis

May 28, 2013 by hgpu

Analysis of Parallel Montgomery Multiplication in CUDA

Yuheng Liu

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Tags: Algorithms, Computer science, CUDA, Elliptic curves, nVidia, nVidia GeForce GT 650 M, Security, Thesis

May 28, 2013 by hgpu

A Performance Modeling and Optimization Analysis Tool for Sparse Matrix-Vector Multiplication on GPUs

Ping Guo, Liqiang Wang, Po Chen

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Tags: Algorithms, Computer science, CUDA, nVidia, Sparse matrix, Tesla C2050

May 27, 2013 by hgpu

Rapid Computation of Sodium Bioscales Using GPU-Accelerated Image Reconstruction

Ian C. Atkinson, Geng Liu, Nady Obeid, Keith R. Thulborn, Wen-mei Hwu

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Tags: Algorithms, Biology, CUDA, FFT, Image reconstruction, Magnetic resonance imaging, MRI, nVidia, Tesla C2050

May 27, 2013 by hgpu

A Tuned, Concurrent-Kernel Approach to Speed Up the APSP Problem

Hector Ortega-Arranz, Yuri Torres, Diego R. Llanos, Arturo Gonzalez-Escribano

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, nVidia GeForce GTX 480

May 25, 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 Acceleration of a Genetic Algorithm for the Synthesis of FSM-based Bimodal Predictors

CUDA Leaks: Information Leakage in GPU Architectures

GPU-accelerated generation of correctly-rounded elementary functions

Novel Multi-Layer Network Decomposition Boosting Acceleration of Multi-core Algorithms

On GPU Fourier Transformations

Geometric Optimisation using Karva for Graphical Processing Units

Efficient GPU-based Graph Cuts for Stereo Matching

On Leveraging GPUs for Security: discussing k-anonymity and pattern matching

Analysis of Parallel Montgomery Multiplication in CUDA

A Performance Modeling and Optimization Analysis Tool for Sparse Matrix-Vector Multiplication on GPUs

Rapid Computation of Sodium Bioscales Using GPU-Accelerated Image Reconstruction

A Tuned, Concurrent-Kernel Approach to Speed Up the APSP Problem

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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