high performance computing on graphics processing units: hgpu.org

hgpu.org » Thesis

Development of Generic Scheduling Concepts for OpenGL ES 2.0

Waqas Tanveer

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Tags: Computer science, OpenGL, Rendering, Thesis

November 6, 2013 by hgpu

A Fast and Secure Way to Prevent SQL Injection Attacks using Bitslice Technique and GPU Support

Piyush Mittal

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Tags: AES, Computer science, CUDA, Databases, nVidia, nVidia GeForce 9600 M, nVidia GeForce 9800 GT, nVidia GeForce GTX 460, Security, Thesis

November 3, 2013 by hgpu

Datalog for GPUs

Carlos Alberto Martinez Angeles

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Tags: Computer science, CUDA, Databases, High-level Languages, nVidia, nVidia GeForce GTX 580, Thesis

November 3, 2013 by hgpu

Analysis of Parallel Sorting Algorithms on Heterogeneous Processors with OpenCL

Anshu Raina

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Tags: Algorithms, Computer science, Heterogeneous systems, nVidia, OpenCL, Sorting, Tesla M2090, Thesis

October 30, 2013 by hgpu

Extension of the SkePU Skeleton Programming Framework for Multi-core CPU and Multi-GPU Systems for MPI-based Clusters

Swadhin K. Mangaraj

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Tags: Computer science, CUDA, GPU cluster, High-level Languages, MPI, nVidia, OpenCL, Thesis

October 29, 2013 by hgpu

Molecular Simulations using CUDA

Gerhard Burger

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Tags: CUDA, Molecular dynamics, Molecular simulation, Monte Carlo simulation, nVidia, nVidia GeForce GT 520, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Physics, Tesla C2075, Thesis

October 29, 2013 by hgpu

Dynamical simulations of extrasolar planetary systems with debris disks using a GPU accelerated N-body code

Alexander Moore

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Tags: Astrophysics, CUDA, N-body simulation, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 285, nVidia GeForce GTX 480, nVidia Quadro FX 5800, Package, Thesis

October 27, 2013 by hgpu

MPI Parallelization of GPU-based Lattice Boltzmann Simulations

Arash Bakhtiari

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Tags: Fluid dynamics, GPU cluster, Heterogeneous systems, Lattice Boltzmann model, MPI, nVidia, OpenCL, Tesla M2090, Thesis

October 27, 2013 by hgpu

A Framework for Management of Distributed Data Processing and Event Selection for the Icecube Neutrino Observatory

Juan Carlos Diaz Velez

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Tags: CUDA, High Energy Physics - Experiment, nVidia, Physics, Python, Tesla C1060, Tesla C2050, Tesla M2070, Thesis

October 24, 2013 by hgpu

Concurrent kernel execution on Graphic Processing Units

Adrien Cassagne, Aurelien George, Benjamin Lorendeau, Jean-Charles Papin, Antoine Rougier

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 660, nVidia Quadro 4000, OpenCL, Performance, Thesis

October 21, 2013 by hgpu

Energy Efficiency Studies of Mont Blanc Applications

Mads Holden

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Tags: ARM, Computer science, Energy-efficient computing, Matrix multiplication, OpenCL, Package, Thesis

October 21, 2013 by hgpu

Multi-Scale Scheduling Techniques for Signal Processing Systems

Zheng Zhou

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Tags: Algorithms, CUDA, DSP, Heterogeneous systems, nVidia, nVidia GeForce GTX 285, Particle swarm optimization, Signal processing, Thesis

October 19, 2013 by hgpu

CFAL-bench

Comparing Parallel Functional Array Languages: Programming and Performance

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

DeepCompile: A Compiler-Driven Approach to Optimizing Distributed Deep Learning Training

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

See all packages

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high performance computing on graphics processing units: hgpu.org

Development of Generic Scheduling Concepts for OpenGL ES 2.0

A Fast and Secure Way to Prevent SQL Injection Attacks using Bitslice Technique and GPU Support

Datalog for GPUs

Analysis of Parallel Sorting Algorithms on Heterogeneous Processors with OpenCL

Extension of the SkePU Skeleton Programming Framework for Multi-core CPU and Multi-GPU Systems for MPI-based Clusters

Molecular Simulations using CUDA

Dynamical simulations of extrasolar planetary systems with debris disks using a GPU accelerated N-body code

MPI Parallelization of GPU-based Lattice Boltzmann Simulations

A Framework for Management of Distributed Data Processing and Event Selection for the Icecube Neutrino Observatory

Concurrent kernel execution on Graphic Processing Units

Energy Efficiency Studies of Mont Blanc Applications

Multi-Scale Scheduling Techniques for Signal Processing Systems

Recent source codes

CFAL-bench

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

PELSI: Power-Efficient Layer-Switched Inference

Ouroboros: Virtualized Queues for dynamic memory management

MSCCL++: A GPU-driven communication stack for scalable AI applications

Benchmark compute shader of Unity against InteropUnityCUDA

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

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