high performance computing on graphics processing units: hgpu.org

hgpu.org » Thesis

Virtualization and Migration with GPGPUs

Mathias Gottschlag

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Tags: Cloud, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Thesis, Virtualization

June 22, 2013 by hgpu

Parallel Language Programming In Different Platforms

Pau Vila Fernández

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Tags: Computer science, CUDA, OpenACC, OpenCL, Programming Languages, Thesis

June 21, 2013 by hgpu

A Numerical Study of Continuous Data Assimilation for the 2D-NS Equations Using Nodal Points

Masakazu Gesho,

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Tags: CUDA, Fluid dynamics, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce GTS 450, Thesis

June 21, 2013 by hgpu

Real-Time Geometry Decompression on Graphics Hardware

Quirin Nikolaus Meyer

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Tags: Algorithms, Compression, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Rendering, Thesis

June 19, 2013 by hgpu

Delaunay Triangulation in R3 on the GPU

Ashwin Nanjappa

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 580, Package, Thesis, Voronoi diagram

June 18, 2013 by hgpu

Accelerating GPU Programs by Reducing Irregular Control Flow and Memory Access

Tomohiro Okuyama

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Tags: Algorithms, Biophysics, CUDA, Differential equations, Heterogeneous systems, nVidia, ODEs, Ordinary differential equations, Physics, Tesla C2070, Thesis

June 18, 2013 by hgpu

GPU-Optimized Hybrid Neighbor/Cell List Algorithm for Coarse-Grained Molecular Dynamics Simulations

Andrew J. Proctor

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Tags: Algorithms, Biomolecules, Computer science, Molecular dynamics, nVidia, nVidia GeForce GTX 480, Tesla C2070, Thesis

June 16, 2013 by hgpu

Improving GPU programming models through hardware cache coherence

Inderpreet Singh

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Tags: Computer science, GPGPU-sim, Memory model, Thesis

June 14, 2013 by hgpu

Acceleration of calculation of Third Party Risk around an airport using OpenCL

Ronald Erkamp

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Tags: Computer science, nVidia, OpenCL, Tesla C2075, Tesla K20, Thesis

June 13, 2013 by hgpu

Accelerating Genetic Programming Using Graphics Processing Units

Tony Lewis

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Tags: Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 260, Thesis

June 10, 2013 by hgpu

Efficient Parallel Proximity Queries and an Application to Highly Complex Motion Planning Problems with Many Narrow Passages

Rainer Erbes

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Tags: Algorithms, Collision detection, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, nVidia Quadro FX 5000, Thesis

June 8, 2013 by hgpu

Modernizing the core quantum chemistry algorithms

Andrey Asadchev

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Tags: Algorithms, Chemistry, Computational chemistry, CUDA, nVidia, Programming techniques, Tesla C2050, Thesis

June 8, 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

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high performance computing on graphics processing units: hgpu.org

Parallel Language Programming In Different Platforms

A Numerical Study of Continuous Data Assimilation for the 2D-NS Equations Using Nodal Points

Real-Time Geometry Decompression on Graphics Hardware

Delaunay Triangulation in R3 on the GPU

Accelerating GPU Programs by Reducing Irregular Control Flow and Memory Access

GPU-Optimized Hybrid Neighbor/Cell List Algorithm for Coarse-Grained Molecular Dynamics Simulations

Improving GPU programming models through hardware cache coherence

Acceleration of calculation of Third Party Risk around an airport using OpenCL

Accelerating Genetic Programming Using Graphics Processing Units

Efficient Parallel Proximity Queries and an Application to Highly Complex Motion Planning Problems with Many Narrow Passages

Modernizing the core quantum chemistry algorithms

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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