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Dynamic Workload Division in GPU-CPU Heterogeneous Systems

Wei Chen

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, Tesla C2070, Thesis

March 7, 2014 by hgpu

OCCA: A unified approach to multi-threading languages

David S Medina, Amik St-Cyr, T. Warburton

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Tags: ATI, ATI Radeon HD 7970, ATI Radeon HD 7990, Computer science, CUDA, Finite difference, nVidia, nVidia GeForce GTX Titan, OpenCL, Spectral elements

March 6, 2014 by hgpu

Hybrid Framework for pairwise DNA Sequence Alignment Using the CUDA compatible GPU

H. Khaled, R. El Gohary, N.L. Badr, H. M. Faheem

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Tags: Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce GT 540 M, Sequence alignment, Smith-Waterman algorithm

March 6, 2014 by hgpu

Performance Tradeoff Spectrum of Integer and Floating Point Applications Kernels on Various GPUs

M.G.B. Johnson, D. P. Playne, K.A. Hawick

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Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 480, nVidia GeForce GTX 580, nVidia GeForce GTX 590, nVidia GeForce GTX 660 M, nVidia GeForce GTX 680, Performance, Tesla M2050, Tesla M2070, Tesla M2075, Tesla M2090

March 6, 2014 by hgpu

Performance Analysis for GPU-based Ray-triangle Algorithms

Juan J. Jimenez, Carlos J. Ogayar, Jose M. Noguera, Felix Paulano

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Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, nVidia GeForce GTX 560 Ti, Performance, Raytracing

March 6, 2014 by hgpu

Efficient and Scalable Parallel Zonal Statistics on Large-Scale Species Occurrence Data on GPUs

Jianting Zhang, Simin You

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Tags: CUDA, Earth and Space Sciences, Geoscience, nVidia, nVidia GeForce GTX Titan, nVidia Quadro 6000

March 6, 2014 by hgpu

On-Demand Source Code Generation & Scheduling Optimised Parallel Applications on Heterogeneous Platforms

K.A. Hawick, D.P.Playne

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Tags: Code generation, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 580, nVidia GeForce GTX 680, Software Engineering

March 4, 2014 by hgpu

Increasing programmability of an embedded domain specific language for GPGPU kernels using static analysis

Niklas Ulvinge

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Tags: Code generation, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Thesis

March 4, 2014 by hgpu

Performance Optimization of Clustering On GPU

Vijal D. Patel, Sumitra Menaria

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Tags: Algorithms, Clustering, Computer science, CUDA, Hierarchical clustering, nVidia, nVidia GeForce GTX 480, Tesla C2070

March 4, 2014 by hgpu

Computational Optimization of a Time-Domain Beamforming Algorithm Using CPU and GPU

Johannes Stier, Christopher Hahn, Gero Zechel, Michael Beitelschmidt

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 570, nVidia Quadro FX 3800

March 3, 2014 by hgpu

Increasing predictability of GPU’s

David Defour

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 680, Performance

March 3, 2014 by hgpu

Applications of Linux-Based QT-CUDA Parallel Architecture

Tuyou Peng, Jun Peng

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce G 105 M, OpenGL, Rendering, Visualization

March 1, 2014 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

See all packages

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high performance computing on graphics processing units: hgpu.org

Dynamic Workload Division in GPU-CPU Heterogeneous Systems

OCCA: A unified approach to multi-threading languages

Hybrid Framework for pairwise DNA Sequence Alignment Using the CUDA compatible GPU

Performance Tradeoff Spectrum of Integer and Floating Point Applications Kernels on Various GPUs

Performance Analysis for GPU-based Ray-triangle Algorithms

Efficient and Scalable Parallel Zonal Statistics on Large-Scale Species Occurrence Data on GPUs

On-Demand Source Code Generation & Scheduling Optimised Parallel Applications on Heterogeneous Platforms

Increasing programmability of an embedded domain specific language for GPGPU kernels using static analysis

Performance Optimization of Clustering On GPU

Computational Optimization of a Time-Domain Beamforming Algorithm Using CPU and GPU

Increasing predictability of GPU’s

Applications of Linux-Based QT-CUDA Parallel Architecture

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

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