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hgpu.org » Programming » Algorithms

Efficient Sparse Matrix-Vector Multiplication on x86-Based Many-Core Processors

Xing Liu, Mikhail Smelyanskiy, Edmond Chow, Pradeep Dubey

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Tags: Algorithms, Computer science, CUDA, Intel Phi, nVidia, Performance, Sparse matrix, Tesla K20

August 29, 2013 by hgpu

Towards High-Performance and Cost-Effective Distributed Storage Systems with Information Dispersal Algorithms

Dongfang Zhao, Kent Burlingame, Corentin Debains, Pedro Alvarez-Tabio, Ioan Raicu

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Tags: Algorithms, Cloud, Computer science, CUDA, nVidia, nVidia GeForce GT 640, Storage system

August 29, 2013 by hgpu

Aquila 2.0: Software Architecture for Cognitive Robotics

Martin Peniak, Anthony Morse, Angelo Cangelosi

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, Package

August 26, 2013 by hgpu

Fast Object Re-Detection and Localization in Video for Spatio-Temporal Fragment Creation

Evlampios Apostolidis, Vasileios Mezaris, Ioannis Kompatsiaris

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Tags: Algorithms, Computer science, Computer vision, nVidia, nVidia GeForce GTX 560, OpenCV

August 26, 2013 by hgpu

Lattice Boltzmann Simulations of Multiphase Flows

Jeremy Aaron Kolker Horwitz

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Tags: Algorithms, CUDA, Fluid dynamics, Lattice Boltzmann model, nVidia, Physics, Poisson equation, Tesla C1060, Thesis

August 26, 2013 by hgpu

Optimisation and Parallelism in Synchronous Digital Circuit Simulators

John T. O'Donnell, Cordelia V. Hall

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 590, Optimization

August 26, 2013 by hgpu

Optimal Control Problem and Power-Efficient Medical Image Processing Using Puma

Himadri Nath Moulick, Moumita Ghosh

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Tags: Algorithms, CUDA, Image processing, Medicine, MRI, nVidia, nVidia GeForce GTX 280, Partial differential equations, PDEs

August 26, 2013 by hgpu

Evaluation of P-Scheme/G Algorithm for Solving Recurrence Equations

Akiyoshi Wakatani

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 590

August 26, 2013 by hgpu

OpenCL Programming Guide for Mac

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Tags: Algorithms, Computer science, OpenCL, Tutorial

August 24, 2013 by hgpu

A memory access model for highly-threaded many-core architectures

Lin Ma, Kunal Agrawal, Roger D. Chamberlain

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Tags: Algorithms, Computer science, CUDA, Memory model, nVidia, nVidia GeForce GTX 480

August 23, 2013 by hgpu

Implementation of Kirchhoff prestack depth migration on GPU

Davide Teixeira, Alex Yeh, Sampath Gajawada

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Tags: Algorithms, CUDA, Earth and Space Sciences, Geoscience, nVidia

August 23, 2013 by hgpu

Tight Binding Molecular Dynamics on CPU and GPU clusters

Dimitar Pashov

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Tags: Algorithms, CUDA, Electrostatics, Fortran, GPU cluster, Linear Algebra, Molecular dynamics, MPI, nVidia, Physics, Tesla K20

August 23, 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

Efficient Sparse Matrix-Vector Multiplication on x86-Based Many-Core Processors

Aquila 2.0: Software Architecture for Cognitive Robotics

Fast Object Re-Detection and Localization in Video for Spatio-Temporal Fragment Creation

Lattice Boltzmann Simulations of Multiphase Flows

Optimisation and Parallelism in Synchronous Digital Circuit Simulators

Optimal Control Problem and Power-Efficient Medical Image Processing Using Puma

Evaluation of P-Scheme/G Algorithm for Solving Recurrence Equations

OpenCL Programming Guide for Mac

A memory access model for highly-threaded many-core architectures

Implementation of Kirchhoff prestack depth migration on GPU

Tight Binding Molecular Dynamics on CPU and GPU clusters

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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