high performance computing on graphics processing units: hgpu.org

Theses

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Sparse Matrix Algorithms Using GPGPU

Kaupo Kuresson

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Tags: Algorithms, ATI, ATI Radeon HD 5870, Computer science, nVidia, OpenCL, Package, Sparse matrix, Tesla S1070, Tesla T10, Thesis

September 18, 2013 by hgpu

Parallel Computing Methods For Particle Accelerator Design

Diana Andreea Popescu

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Tags: Algorithms, CUDA, High Energy Physics - Experiment, nVidia, nVidia Quadro K 2000, OpenMP, Package, Physics, Tesla K20, Thesis

September 17, 2013 by hgpu

Expressed Sequence Tag Clustering using Commercial Gaming Hardware

Charl van Deventer, Willem A. Clarke, Scott Hazelhurst

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Tags: Algorithms, Bioinformatics, Clustering, Computer science, CUDA, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 480, Package, Thesis

September 15, 2013 by hgpu

Simulation and modeling of physical broadcasts

Ahmed Ahmed

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Tags: Cellular automata, Computer science, CUDA, Differential equations, nVidia, nVidia GeForce GTX 680, Thesis

September 13, 2013 by hgpu

Neptune: An astrophysical smooth particle hydrodynamics code for massively parallel computer architectures

Prashanth Jaikumar

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Tags: Astrophysics, Gravitation, OpenCL, Thesis

September 13, 2013 by hgpu

Iterative and Predictive Ray-Traced Collision Detection for Multi-GPU Architectures

Francois Lehericey

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Tags: Algorithms, Collision detection, Computer science, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 660, OpenCL, Raytracing, Thesis

September 11, 2013 by hgpu

OCT on CUDA: Speeding up the image reconstruction algorithm for an Optical Coherence Tomography system using NVIDIA’s CUDA platform

Amin Meyghani

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Tags: Algorithms, CUDA, Image reconstruction, Medicine, nVidia, nVidia Quadro 2000, Thesis, Tomography

September 11, 2013 by hgpu

Computing High Resolution Explicit Corridor Maps using Parallel Technologies

R. Bonfiglioli

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 680, OpenCL, Package, Path problems, Thesis

August 31, 2013 by hgpu

Performance Portability Strategies for Computational Fluid Dynamics (CFD) Applications on HPC Systems

Pei-Hung Lin

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Tags: CUDA, Fluid dynamics, nVidia, Optimization, Tesla C2070, Thesis

August 30, 2013 by hgpu

High Performance Algorithms to Improve the Runtime Computation of Spacecraft Trajectories

Nitin Arora

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Tags: Algorithms, CUDA, Earth and Space Sciences, nVidia, Tesla C1060, Tesla M2090, Thesis

August 29, 2013 by hgpu

Throughput-Oriented Analytical Models for Performance Estimation on Programmable Hardware Accelerators

Junjie Lai

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Tags: Analytical model, Benchmarking, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 680, Thesis

August 28, 2013 by hgpu

Audiovisual Voice Activity Detection and Localization of Simultaneous Speech Sources

Vicente Peruffo Minotto

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Tags: Acoustics, Computer science, CUDA, nVidia, nVidia GeForce GTS 360 M, nVidia GeForce GTX 570, Speech recognition, Thesis

August 28, 2013 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

Sparse Matrix Algorithms Using GPGPU

Parallel Computing Methods For Particle Accelerator Design

Expressed Sequence Tag Clustering using Commercial Gaming Hardware

Simulation and modeling of physical broadcasts

Neptune: An astrophysical smooth particle hydrodynamics code for massively parallel computer architectures

Iterative and Predictive Ray-Traced Collision Detection for Multi-GPU Architectures

OCT on CUDA: Speeding up the image reconstruction algorithm for an Optical Coherence Tomography system using NVIDIA’s CUDA platform

Computing High Resolution Explicit Corridor Maps using Parallel Technologies

Performance Portability Strategies for Computational Fluid Dynamics (CFD) Applications on HPC Systems

High Performance Algorithms to Improve the Runtime Computation of Spacecraft Trajectories

Throughput-Oriented Analytical Models for Performance Estimation on Programmable Hardware Accelerators

Audiovisual Voice Activity Detection and Localization of Simultaneous Speech Sources

Recent source codes

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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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