high performance computing on graphics processing units: hgpu.org

Theses

hgpu.org » Applications

Divide and Conquer G-Buffer Ray Tracing

Daniel Stokes

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Tags: 3D Graphics and Realism, ATI, ATI Radeon HD 6330 M, Computer science, OpenGL, Raytracing, Thesis

June 16, 2014 by hgpu

An in-depth performance analysis of irregular workloads on VLIW APU

Matthew Doerksen

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Tags: APU, ATI, ATI Radeon HD 7970, Computer science, Heterogeneous systems, OpenCL, Performance, Thesis

June 16, 2014 by hgpu

Improved Distance Weighted GPU-based 3D Ultrasound Reconstruction Methods

Tord Oygard

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Tags: Algorithms, ATI, ATI Radeon HD 6470 M, Image processing, Nearest neighbour, OpenCL, Thesis, Ultrasound

June 16, 2014 by hgpu

Dynamic loop vectorization for executing OpenCL kernels on CPUs

Izzat El Hajj

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Tags: Computer science, Heterogeneous systems, OpenCL, Performance, Thesis

June 14, 2014 by hgpu

Secure Distributed Computing on a Manycore Cloud

Flavio Lombardi

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Tags: Cloud, Computer science, CUDA, Data acquisition, Distributed computing, Heterogeneous systems, nVidia, nVidia GeForce GT 640, Security, Tesla C2050, Thesis

June 13, 2014 by hgpu

Brain perfusion imaging: performance and accuracy

F. Zhu

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Tags: Computed tomography, CT, CUDA, Image processing, Magnetic resonance imaging, Medicine, MRI, nVidia, nVidia GeForce GTX 280, Thesis

June 7, 2014 by hgpu

GPU Accelerated Nature Inspired Methods for Modelling Large Scale Bi-Directional Pedestrian Movement

Sankha Baran Dutta

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Tags: Ant colony optimization, Computer science, CUDA, nVidia, nVidia GeForce GTX 560 Ti, Thesis

June 5, 2014 by hgpu

Mapping parallel programs to heterogeneous multi-core systems

Dominik Grewe

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Source codes

Tags: Algorithms, ATI, ATI Radeon HD 7990, Computer science, Heterogeneous systems, Machine learning, nVidia, nVidia GeForce GTX 580, OpenCL, Package, Thesis

June 5, 2014 by hgpu

Utilizing Graphics Processing Units for Rapid Facial Recognition Using Video Input

Charles J. Gala

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, Pattern recognition, Tesla C2050, Thesis

June 3, 2014 by hgpu

Integrated Modelling of Hydrodynamic Processes, Faecal Indicator Organisms and Related Parameters with Improved Accuracy using Parallel (GPU) Computing

Brian Adjetey Boye

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Tags: CUDA, Earth and Space Sciences, nVidia, nVidia GeForce GTX 590, Tesla K10, Tesla K20, Thesis

June 2, 2014 by hgpu

GPU Ray Tracing with CUDA

Tom A. Pitkin

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 570, Raytracing, Rendering, Thesis

May 31, 2014 by hgpu

Parallel SAT solvers and their application in automatic parallelization

Jaime Kirch da Silveira

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GT 630 M, SAT, Thesis

May 31, 2014 by hgpu

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

BoltzGen:Toward Universal Binder Design

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

See all packages

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high performance computing on graphics processing units: hgpu.org

Theses

Divide and Conquer G-Buffer Ray Tracing

An in-depth performance analysis of irregular workloads on VLIW APU

Improved Distance Weighted GPU-based 3D Ultrasound Reconstruction Methods

Dynamic loop vectorization for executing OpenCL kernels on CPUs

Brain perfusion imaging: performance and accuracy

GPU Accelerated Nature Inspired Methods for Modelling Large Scale Bi-Directional Pedestrian Movement

Mapping parallel programs to heterogeneous multi-core systems

Utilizing Graphics Processing Units for Rapid Facial Recognition Using Video Input

Integrated Modelling of Hydrodynamic Processes, Faecal Indicator Organisms and Related Parameters with Improved Accuracy using Parallel (GPU) Computing

GPU Ray Tracing with CUDA

Parallel SAT solvers and their application in automatic parallelization

Recent source codes

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

BoltzGen:Toward Universal Binder Design

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

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