high performance computing on graphics processing units: hgpu.org

Theses

hgpu.org » Applications

GPU-Optimized Molecular Dynamics Simulations

Tyson J. Lipscomb

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Tags: Biology, Biomolecules, CUDA, Molecular dynamics, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Optimization, Pseudo-random number generators, Review, RNA, Tesla C2070, Thesis

July 8, 2012 by hgpu

GPU-based Assembly of Stiffness Matrices in the Parallel Multilevel Partition of Unity Method

Sebastian Kanis

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Tags: Differential equations, Mathematics, nVidia, nVidia GeForce GTX 560 Ti, Partial differential equations, PDEs, Thesis

July 5, 2012 by hgpu

Parallel Processing using FPGAs and GPUs

Abhijit Joshi

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Tags: Algorithms, Computer science, CUDA, FPGA, nVidia, Tesla C2070, Thesis

July 3, 2012 by hgpu

A Scheduling Framework for a Heterogeneous Parallel Architecture

Wei Zhang

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Tags: Computer science, CUDA, Distributed computing, Heterogeneous systems, nVidia, nVidia Quadro FX 1800, Task scheduling, Tesla C1060, Thesis

June 30, 2012 by hgpu

GPU-accelerated Model Checking of Periodic Self-Suspending Real-Time Tasks

Per-Erik Mahl, Tim Liberg

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GT 320 M, nVidia GeForce GTX 275, Task scheduling, Thesis

June 23, 2012 by hgpu

High performance implementation of hydrodynamic interactions and applications with the sub-cellular element method

Andrei Frunza

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Tags: Computer science, CUDA, Diffusion tensor, nVidia, nVidia GeForce GTX 580, Physics, Thesis

June 21, 2012 by hgpu

Implementing density functional theory (DFT) methods on many-core GPGPU accelerators

Bishwajit Mohan Gosswami

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Tags: Chemistry, CUDA, Density-functional theory, nVidia, Tesla C2070, Thesis

June 19, 2012 by hgpu

Fluid Dynamics Simulations on Multi-GPU Systems

Eugenio Rustico

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Tags: CUDA, Fluid dynamics, GPU cluster, nVidia, nVidia GeForce GTX 480, Thesis

June 13, 2012 by hgpu

A new parallelisation technique for heterogeneous CPUs

Youssef Omran Gdura

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Tags: Benchmarking, Code generation, Computer science, Heterogeneous systems, Programming techniques, Thesis

June 5, 2012 by hgpu

Using visualization to reveal weak cryptosystems

Eirik Eggesbo Ottesen

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Tags: Computer science, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 560 Ti, nVidia GeForce GTX 570, nVidia GeForce GTX 680, Security, Thesis, Visualization

June 5, 2012 by hgpu

Accelerating an imaging spectroscopy algorithm for submerged marine environments using heterogeneous computing

Matthew Sellitto

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Tags: Algorithms, Heterogeneous systems, Image processing, nVidia, OpenCL, Optimization, Sensing, Tesla M2070, Thesis

May 30, 2012 by hgpu

CUDA Implementation of Parallel Algorithms for Animal Noseprint Identification

Vincent Stanley Dayes

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Tags: Algorithms, CUDA, Image processing, Image registration, nVidia, nVidia GeForce 8400 GS, Thesis

May 29, 2012 by hgpu

Tutoring LLM into a Better CUDA Optimizer

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

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high performance computing on graphics processing units: hgpu.org

Theses

GPU-Optimized Molecular Dynamics Simulations

GPU-based Assembly of Stiffness Matrices in the Parallel Multilevel Partition of Unity Method

Parallel Processing using FPGAs and GPUs

A Scheduling Framework for a Heterogeneous Parallel Architecture

GPU-accelerated Model Checking of Periodic Self-Suspending Real-Time Tasks

High performance implementation of hydrodynamic interactions and applications with the sub-cellular element method

Implementing density functional theory (DFT) methods on many-core GPGPU accelerators

Fluid Dynamics Simulations on Multi-GPU Systems

A new parallelisation technique for heterogeneous CPUs

Using visualization to reveal weak cryptosystems

Accelerating an imaging spectroscopy algorithm for submerged marine environments using heterogeneous computing

CUDA Implementation of Parallel Algorithms for Animal Noseprint Identification

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Atlas CLI: Machine Learning (ML) Lifecycle & Transparency Manager

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INT v.s. FP: A framework to compare low-bit integer and float-point formats

AutoDock-GPU: AutoDock for GPUs and other accelerators

NCCLX: collective communication framework

Tutoring LLM into a Better CUDA Optimizer

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Kernel Library for LLM Serving

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

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