high performance computing on graphics processing units: hgpu.org

Theses

hgpu.org » Applications

Speech Recognition on Multi-Core Processors and GPUs

Patrick Cardinal

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Tags: Algorithms, CUDA, nVidia, nVidia GeForce GTX 295, Signal processing, Speech recognition, Thesis

August 13, 2013 by hgpu

Executing Process Networks on Heterogeneous Platforms using OpenCL

Tobias Scherer

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Tags: ATI, ATI Radeon HD 7750, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 670, nVidia Quadro K 2000 M, OpenCL, Thesis

August 13, 2013 by hgpu

A GPU implementation of massively parallel direction splitting for the incompressible Navier-Stokes equations

Adam L. Preuss

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Tags: Algorithms, Fluid dynamics, Laplace and Poisson equation, nVidia, OpenCL, OpenGL, Poisson equation, Tesla M2075, Thesis

August 9, 2013 by hgpu

GPU implementation of a shell element structural solver aimed at fluid-structure interaction problems

Andrea Bartezzaghi

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Tags: Algorithms, CUDA, FEM, Finite element method, Fluid dynamics, nVidia, nVidia GeForce GTX 470, nVidia GeForce GTX 670 M, Tesla M2070, Thesis

August 8, 2013 by hgpu

Fast Morphological Image Processing on GPU using CUDA

Mugdha A. Rane

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Tags: CUDA, Image processing, nVidia, nVidia GeForce GTX 480, Thesis

August 7, 2013 by hgpu

GPU Accelerated Pattern Matching Algorithm for DNA Sequences to Detect Cancer using CUDA

Snehal P. Adey

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Tags: Bioinformatics, Biology, CUDA, Medicine, nVidia, Tesla C2070, Thesis

August 7, 2013 by hgpu

GPU Acceleration of Graph Matching, Clustering, and Partitioning

Bastiaan Onne Fagginger Auer

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Tags: Algorithms, Clustering, Computer science, CUDA, Graph theory, nVidia, Sparse matrix, Tesla C2075, Thesis

August 6, 2013 by hgpu

Strategies for Optimization of Parallel Programs

Alcides Fonseca

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 285, OpenCL, Optimization, Thesis

August 3, 2013 by hgpu

Image Processing with CUDA

Jia Jun Tse

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 260, Thesis

July 30, 2013 by hgpu

Domain Specific Languages for High Performance Computing

Alejandro Fernandez Suarez

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Tags: Computer science, Heterogeneous systems, High-level Languages, OpenCL, Thesis

July 30, 2013 by hgpu

Point Based Approximate Color Bleeding With Cuda

Nicholas D. Feeney

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, Tesla C2050, Thesis

July 29, 2013 by hgpu

Fast Image Processing with Embedded Microprocessors

Guillermo Jesus Rafael Hernandez Gallegos

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Tags: Image processing, OpenCV, OpenGL, Thesis

July 27, 2013 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

See all packages

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high performance computing on graphics processing units: hgpu.org

Theses

Speech Recognition on Multi-Core Processors and GPUs

Executing Process Networks on Heterogeneous Platforms using OpenCL

A GPU implementation of massively parallel direction splitting for the incompressible Navier-Stokes equations

GPU implementation of a shell element structural solver aimed at fluid-structure interaction problems

Fast Morphological Image Processing on GPU using CUDA

GPU Accelerated Pattern Matching Algorithm for DNA Sequences to Detect Cancer using CUDA

GPU Acceleration of Graph Matching, Clustering, and Partitioning

Strategies for Optimization of Parallel Programs

Image Processing with CUDA

Domain Specific Languages for High Performance Computing

Point Based Approximate Color Bleeding With Cuda

Fast Image Processing with Embedded Microprocessors

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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