high performance computing on graphics processing units: hgpu.org

Theses

hgpu.org » Applications

GPF: a framework for general packet classification on GPU co-processors

Alastair Nottingham

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Tags: Computer science, CUDA, Network communications, nVidia, nVidia GeForce GTX 480, Security, Thesis

September 25, 2012 by hgpu

Task Performance with List-Mode Data

Luca Caucci

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Tags: Algorithms, Computer science, Data acquisition, Image reconstruction, Medicine, nVidia, nVidia GeForce 9800 GX2, nVidia GeForce GTX 295, Tesla C1060, Tesla C2050, Thesis, Tomography

September 23, 2012 by hgpu

Large-Scale Motion Modelling using a Graphical Processing Unit

Yusuf Dinath

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

September 21, 2012 by hgpu

GPU-Acceleration of Linear Algebra using OpenCL

Andreas Falkenstrom Mieritz

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Tags: ATI, ATI Radeon HD 6990, Computer science, Linear Algebra, nVidia, nVidia GeForce GTX 590, OpenCL, Thesis, Wave equation

September 20, 2012 by hgpu

Implementation of QR Updating Algorithms on the GPU

Robert Andrew

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Tags: Algorithms, Computer science, CUDA, Numerical Analysis, nVidia, Tesla M2050, Thesis

September 18, 2012 by hgpu

A GPU operations framework for WattDB

Vitor Uwe Reus

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Tags: Computer science, CUDA, Databases, nVidia, nVidia GeForce GT 430, Thesis

September 17, 2012 by hgpu

Massive parallelization of combinatorial statistical genetics analyses porting machine learning methods on general purpose graphics processing units (GPU)

Tony Kam-Thong

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Source codes

Tags: Biology, CUDA, Genetics, Machine learning, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 580, Package, Thesis

September 16, 2012 by hgpu

On the Validation and Applications of a Parallel Flexible Multi-Body Dynamics Implementation

Daniel J. Melanz

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Tesla C2070, Thesis

September 14, 2012 by hgpu

Accelerating Sparse Matrix Kernels on Graphics Processing Units

Kiran Kumar Matam

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Tags: Algorithms, Computer science, CUDA, Matrix multiplication, nVidia, Sparse matrix, Tesla C1060, Tesla C2050, Thesis

September 14, 2012 by hgpu

Mapping a Dataflow Programming Model onto Heterogeneous Architectures

Alina Sbirlea

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Tags: Code generation, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia Quadro FX 580, Tesla C1060, Thesis

September 12, 2012 by hgpu

Multi-Moment Methods for PDEs and GPUs for Large-Scale Scientific Computations

Sarah Amalie King

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Tags: Algorithms, CUDA, Differential equations, Mathematics, nVidia, nVidia GeForce GT 640 M, Optimization, Partial differential equations, PDEs, Tesla C2050, Thesis

September 7, 2012 by hgpu

Architectural Analysis and Performance Characterization of NVIDIA GPUs using Microbenchmarking

Saktheesh Subramoniapillai Ajeetha

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Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 580, Performance, Tesla C2050, Thesis

September 6, 2012 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

Theses

GPF: a framework for general packet classification on GPU co-processors

Task Performance with List-Mode Data

Large-Scale Motion Modelling using a Graphical Processing Unit

GPU-Acceleration of Linear Algebra using OpenCL

Implementation of QR Updating Algorithms on the GPU

A GPU operations framework for WattDB

Massive parallelization of combinatorial statistical genetics analyses porting machine learning methods on general purpose graphics processing units (GPU)

On the Validation and Applications of a Parallel Flexible Multi-Body Dynamics Implementation

Accelerating Sparse Matrix Kernels on Graphics Processing Units

Mapping a Dataflow Programming Model onto Heterogeneous Architectures

Multi-Moment Methods for PDEs and GPUs for Large-Scale Scientific Computations

Architectural Analysis and Performance Characterization of NVIDIA GPUs using Microbenchmarking

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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