high performance computing on graphics processing units: hgpu.org

Theses

hgpu.org » Applications

Numerical Accuracy Differences in CPU and GPGPU Codes

Devon Yablonski

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Tags: Computer science, CUDA, Floating point error, nVidia, Tesla C1060, Thesis

September 25, 2011 by hgpu

Utilising OpenCL Framework for Ray-Tracing Acceleration

Pavel Hradsky

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce GTS 250, OpenCL, Raytracing, Thesis

September 24, 2011 by hgpu

Automatic Translation of CUDA to OpenCL and Comparison of Performance Optimizations on GPUs

Deepthi Nandakumar

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Tags: ATI, ATI Radeon HD 5870, Benchmarking, Code generation, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 280, OpenCL, Optimization, Thesis

September 24, 2011 by hgpu

Integrated Framework for Heterogeneous Embedded Platforms Using OpenCL

Kulin V. Seth

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Tags: Benchmarking, Computer science, DSP, Embedded high-performance computing, Heterogeneous systems, OpenCL, Optimization, Thesis

September 23, 2011 by hgpu

Stream computing on graphics hardware

Ian Buck

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Tags: Algorithms, ATI, ATI Radeon X800 XT, Benchmarking, Brook, Compilers, Computer science, nVidia, nVidia GeForce 6800, Review, Thesis

September 19, 2011 by hgpu

GPU acceleration of matrix-based methods in computational electromagnetics (thesis)

Evan Lezar

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Tags: CUDA, Electrodynamics, FEM, Finite element method, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 465, Tesla M1060, Thesis

August 10, 2011 by hgpu

DC Power Flow Based Contingency Analysis Using Graphics Processing Units (thesis)

Anupam Gopal

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Tags: Cg, Computer science, nVidia, nVidia GeForce 7800 GTX, OpenGL, Power Systems Simulation, Thesis

August 8, 2011 by hgpu

A self-organization based optical flow estimator with GPU implementation (thesis)

Manish Shiralkar

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 480, nVidia Quadro FX 5600, nVidia Quadro NVS 140 M, Optical flow, Self-organizing map, Tesla T10, Thesis

July 22, 2011 by hgpu

A self-organization based optical flow estimator with GPU implementation

Manish Shiralkar, Robert Schalkoff

Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 480, nVidia Quadro FX 5600, nVidia Quadro NVS 140 M, Optical flow, Self-organizing map, Tesla T10, Thesis

July 22, 2011 by hgpu

Using Graphic Processing Unit in Block Cipher Calculations (thesis)

Urmas Rosenberg

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Source codes

Tags: AES, Block Ciphers, Cg, Computer science, CUDA, nVidia, nVidia GeForce 6800 GT, nVidia GeForce 8800 GTS, OpenGL, Package, Security, Thesis

July 5, 2011 by hgpu

On Expressing Different Concurrency Paradigms on Virtual Execution Systems (thesis)

Cristian Dittamo

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Tags: Cell processor, Code generation, Computer science, Thesis, Virtualization

July 2, 2011 by hgpu

Accelerating Unstructured Mesh Computational Fluid Dynamics on the NVidia Tesla GPU Architecture

Graham Markall

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Source codes

Tags: Conjugate gradient solver, CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 280, Package, Thesis

June 5, 2011 by hgpu

TransCL: An Automatic CUDA-to-OpenCL Programs Transformation Framework

pyATF: The Auto-Tuning Framework (ATF) in Python

pyATF: Constraint-Based Auto-Tuning in Python

TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators

Checkpoint/Restore tool

CRIUgpu: Transparent Checkpointing of GPU-Accelerated Workloads

KernelBench: Can LLMs Write GPU Kernels?

KernelBench: Can LLMs Write Efficient GPU Kernels?

An MLIR-based toolchain for AMD AI Engine-enabled devices

Seamless acceleration of Fortran intrinsics via AMD AI engines

Forecasting time series with constraints

See all packages

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high performance computing on graphics processing units: hgpu.org

Theses

Numerical Accuracy Differences in CPU and GPGPU Codes

Utilising OpenCL Framework for Ray-Tracing Acceleration

Automatic Translation of CUDA to OpenCL and Comparison of Performance Optimizations on GPUs

Integrated Framework for Heterogeneous Embedded Platforms Using OpenCL

Stream computing on graphics hardware

GPU acceleration of matrix-based methods in computational electromagnetics (thesis)

DC Power Flow Based Contingency Analysis Using Graphics Processing Units (thesis)

A self-organization based optical flow estimator with GPU implementation (thesis)

A self-organization based optical flow estimator with GPU implementation

Using Graphic Processing Unit in Block Cipher Calculations (thesis)

On Expressing Different Concurrency Paradigms on Virtual Execution Systems (thesis)

Accelerating Unstructured Mesh Computational Fluid Dynamics on the NVidia Tesla GPU Architecture

Recent source codes

wgpy: WebGL accelerated numpy-compatible array library for web browser

Microbenchmarking OpenMP target offload with Catch2

SUperman: Highly Efficient Permanent Computation Library

TransCL: An Automatic CUDA-to-OpenCL Programs Transformation Framework

pyATF: The Auto-Tuning Framework (ATF) in Python

TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators

Checkpoint/Restore tool

KernelBench: Can LLMs Write GPU Kernels?

An MLIR-based toolchain for AMD AI Engine-enabled devices

Forecasting time series with constraints

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