high performance computing on graphics processing units: hgpu.org

Theses

hgpu.org » Applications

Fast Implementation of Two Hash Algorithms on nVidia CUDA GPU

Gorka Lerchundi Osa

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Tags: Computer science, CUDA, Hashing, nVidia, nVidia GeForce 9400 GT, Thesis

February 24, 2011 by hgpu

Design Space Exploration for GPU-Based Architecture

Zhenyu Ye

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Tags: Computer science, CUDA, Factorization, Hardware Architecture, Memory model, nVidia, nVidia GeForce 8800 GTX, Review, Thesis

February 20, 2011 by hgpu

Accelerating the Stochastic Simulation Algorithm using Emerging Architectures

David Dewayne Jenkins

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Tags: Biology, CUDA, Monte Carlo simulation, nVidia, nVidia GeForce 8600 M, Stochastic simulation, Tesla C1060, Tesla C870, Thesis

February 16, 2011 by hgpu

Compiling an Array Language to a Graphics Processor

Bradford Larsen

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Tags: Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce 8800 GT, Thesis

February 11, 2011 by hgpu

Data access optimized applications on the GPU using NVIDIA CUDA

Dheevatsa Mudiger

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Tags: Computer science, CUDA, Data Structures and Algorithms, Fluid dynamics, nVidia, Tesla C1060, Tesla C870, Thesis

February 3, 2011 by hgpu

Constraint Fluids on GPU

Martin Nilsson

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Tags: Algorithms, Collision detection, Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 280, Thesis

February 1, 2011 by hgpu

Scientific Computing on Heterogeneous Architectures

A. R. Brodtkorb

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

January 31, 2011 by hgpu

Program Optimization Strategies for Data-Parallel Many-Core Processors

Shane Ryoo

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Optimization, Thesis

January 24, 2011 by hgpu

Molecular Dynamics on a Grand Scale

Matthew James Mawson Breeze

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Tags: ATI, ATI Radeon X1600, Chemistry, GLSL, Molecular dynamics, nVidia, nVidia GeForce 6200, nVidia GeForce 8800 GTS, OpenGL, Thesis

December 17, 2010 by hgpu

Fast and Accurate Finite-Element Multigrid Solvers for PDE Simulations on GPU Clusters

Dominik Goddeke

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Tags: CUDA, Finite element method, Fluid dynamics, GPU cluster, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce 6800, nVidia GeForce 7600 GT, nVidia GeForce 7900 GT, nVidia GeForce 8600 GT, nVidia GeForce 8800 GTX, nVidia GeForce 9600 GT, nVidia GeForce GTX 280, OpenGL, Review, Thesis

December 16, 2010 by hgpu

The integrated implementation of surgical simulations through modeling by means of imaging, comprehension, visualization, deformation, and collision detection in virtual environments

Sinan Kockara

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Tags: Collision detection, Computer science, Medicine, Surgical simulation, Thesis, Visualization

December 13, 2010 by hgpu

MPI within a GPU

Bobby Dalton Young

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Tags: Computer science, CUDA, Data parallelism, MPI, nVidia, nVidia GeForce 8800 GTS, Thesis, Virtualization

November 5, 2010 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

Fast Implementation of Two Hash Algorithms on nVidia CUDA GPU

Design Space Exploration for GPU-Based Architecture

Accelerating the Stochastic Simulation Algorithm using Emerging Architectures

Compiling an Array Language to a Graphics Processor

Data access optimized applications on the GPU using NVIDIA CUDA

Constraint Fluids on GPU

Scientific Computing on Heterogeneous Architectures

Program Optimization Strategies for Data-Parallel Many-Core Processors

Molecular Dynamics on a Grand Scale

Fast and Accurate Finite-Element Multigrid Solvers for PDE Simulations on GPU Clusters

The integrated implementation of surgical simulations through modeling by means of imaging, comprehension, visualization, deformation, and collision detection in virtual environments

MPI within a GPU

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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