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Improving Resource Utilization in Heterogeneous CPU-GPU Systems

Michael Boyer

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Tags: Algorithms, ATI, ATI Radeon HD 5870, ATI Radeon HD 7970, Biology, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 280, OpenCL, Package, Software Engineering, Thesis

September 23, 2013 by hgpu

Processing MPI Derived Datatypes on Noncontiguous GPU-Resident Data

John Jenkins, James Dinan, Pavan Balaji, Tom Peterka, Nagiza F. Samatova, Rajeev Thakur

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Tags: Algorithms, Benchmarking, Computer science, CUDA, MPI, nVidia, Tesla C2050

September 23, 2013 by hgpu

A streaming model for nested data parallelism

Frederik M. Madsen

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Tags: Algorithms, Computer science, CUDA, Data parallelism, nVidia, Thesis

September 21, 2013 by hgpu

A GPU Implementation of Parallel Constraint-based Local Search

Alejandro Arbelaez, Philippe Codognet

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Tags: Algorithms, Computer science, CUDA, nVidia, Search, Tesla C2075

September 21, 2013 by hgpu

Can GPUs Sort Strings Efficiently?

Aditya Deshpande, P. J. Narayanan

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Sorting, Tesla K20

September 20, 2013 by hgpu

Rethinking the Union of Computed Tomography Reconstruction and GPGPU Computing

Edward S. Jimenez, Laurel J. Orr

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Tags: Algorithms, Computed tomography, CT, CUDA, Medicine, nVidia, Tesla M2090, Tesla S2090, Tomography

September 20, 2013 by hgpu

Sparse Matrix Algorithms Using GPGPU

Kaupo Kuresson

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Tags: Algorithms, ATI, ATI Radeon HD 5870, Computer science, nVidia, OpenCL, Package, Sparse matrix, Tesla S1070, Tesla T10, Thesis

September 18, 2013 by hgpu

Parallel Motion Estimation Implementation for Different Block Matching Algorithms onto GPGPU

Eduarda Monteiro, Marilena Maule, Felipe Sampaio, Claudio Diniz, Bruno Zatt, Sergio Bampi

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Tags: Algorithms, Computer science, CUDA, MPI, nVidia, nVidia GeForce GTX 480, OpenMP, Video encoding

September 17, 2013 by hgpu

High Throughput Low Latency LDPC Decoding on GPU for SDR Systems

Guohui Wang, Michael Wu, Bei Yin, Joseph R. Cavallaro

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX Titan, Parity-check codes

September 17, 2013 by hgpu

Parallel Computing Methods For Particle Accelerator Design

Diana Andreea Popescu

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Tags: Algorithms, CUDA, High Energy Physics - Experiment, nVidia, nVidia Quadro K 2000, OpenMP, Package, Physics, Tesla K20, Thesis

September 17, 2013 by hgpu

Optimal Configuration of GPU Cache Memory to Maximize the Performance

Leonid Djinevski, Sime Arsenovski, Sasko Ristov, Marjan Gusev

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Tags: Algorithms, Computer science, CUDA, Matrix multiplication, Memory, nVidia, nVidia GeForce GTX 680, Performance

September 16, 2013 by hgpu

Hybrid Monte Carlo CT Simulation on GPU

Gabor Jakab, Laszlo Szirmay-Kalos

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Tags: Algorithms, Computed tomography, CT, CUDA, Image reconstruction, Medicine, nVidia, nVidia GeForce GTX 590, Particle simulation, Tomography

September 16, 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

Improving Resource Utilization in Heterogeneous CPU-GPU Systems

Processing MPI Derived Datatypes on Noncontiguous GPU-Resident Data

A streaming model for nested data parallelism

A GPU Implementation of Parallel Constraint-based Local Search

Can GPUs Sort Strings Efficiently?

Rethinking the Union of Computed Tomography Reconstruction and GPGPU Computing

Sparse Matrix Algorithms Using GPGPU

Parallel Motion Estimation Implementation for Different Block Matching Algorithms onto GPGPU

High Throughput Low Latency LDPC Decoding on GPU for SDR Systems

Parallel Computing Methods For Particle Accelerator Design

Optimal Configuration of GPU Cache Memory to Maximize the Performance

Hybrid Monte Carlo CT Simulation on GPU

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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