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Feature Extraction and Visualization from Higher-Order CFD Data

Christian Azambuja Pagot

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Tags: CUDA, Flow analysis, Fluid dynamics, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 470, Thesis, Visualization

January 16, 2012 by hgpu

Designing Numerical Solvers for Next Generation High Performance Computing

Mark James Mawson

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Tags: Algorithms, CUDA, Fluid dynamics, Lattice Boltzmann model, nVidia, nVidia Quadro FX 6000, PC cluster, Review, Thesis

January 9, 2012 by hgpu

Implementation and Evaluation of Scientific Simulations on High Performance Computing Architectures

Bibrak Qamar, Jahanzeb Maqbool

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Tags: Algorithms, CUDA, Finance, Fluid dynamics, Numerical Analysis, nVidia, nVidia GeForce GTX 480, Review, Thesis, Visualization

December 16, 2011 by hgpu

Multiresolution Flow Simulations on Multi/many-core Architectures

Diego Rossinelli

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Tags: Algorithms, Computational Complexity, CUDA, Differential equations, Fluid dynamics, Heterogeneous systems, nVidia, Partial differential equations, PDEs, Tesla S1070, Tesla T10, Thesis, Wavelet

November 29, 2011 by hgpu

Design of 3D FFT on Multi-GPU Clusters

Arpan Maheshwari

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Tags: CUDA, FFT, Fluid dynamics, GPU cluster, nVidia, Spectral methods, Tesla T10, Thesis

November 25, 2011 by hgpu

Anisotropic mesh coarsening and refinement on GPU architecture

Matthew Potter

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Tags: Algorithms, CUDA, Differential equations, Finite volume method, Fluid dynamics, nVidia, Partial differential equations, PDEs, Tesla M2050, Thesis

November 19, 2011 by hgpu

Massively Parallel Algorithms for CFD Simulation and Optimization on Heterogeneous Many-Core Architectures

Austen C. Duffy

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Tags: Algorithms, CUDA, Fluid dynamics, Fortran, GPU cluster, Heterogeneous systems, nVidia, nVidia GeForce GTX 470, nVidia GeForce GTX 480, Optimization, Partial differential equations, PDEs, Thesis

October 23, 2011 by hgpu

The Lattice Boltzmann Simulation on Multi-GPU Systems

Thor Kristian Valderhaug

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Tags: ATI, ATI Radeon HD 5870, Fluid dynamics, Lattice Boltzmann model, MPI, nVidia, OpenCL, Tesla C1060, Tesla C2070, Tesla S2070, Tesla T10, Thesis

October 17, 2011 by hgpu

Accelerating Unstructured Mesh Computational Fluid Dynamics on the NVidia Tesla GPU Architecture

Graham Markall

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Tags: Conjugate gradient solver, CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 280, Package, Thesis

June 5, 2011 by hgpu

Numerical simulation of 3D particulate flows based on GPU technology

Tobias Hahn

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Tags: CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 280, Thesis

June 4, 2011 by hgpu

Data access optimized applications on the GPU using NVIDIA CUDA

Dheevatsa Mudiger

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Tags: Computer science, CUDA, Data Structures and Algorithms, Fluid dynamics, nVidia, Tesla C1060, Tesla C870, Thesis

February 3, 2011 by hgpu

Fast and Accurate Finite-Element Multigrid Solvers for PDE Simulations on GPU Clusters

Dominik Goddeke

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Tags: CUDA, Finite element method, Fluid dynamics, GPU cluster, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce 6800, nVidia GeForce 7600 GT, nVidia GeForce 7900 GT, nVidia GeForce 8600 GT, nVidia GeForce 8800 GTX, nVidia GeForce 9600 GT, nVidia GeForce GTX 280, OpenGL, Review, Thesis

December 16, 2010 by hgpu

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

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

GigaAPI for GPU Parallelization

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

Advances in Semantic Patching for HPC-oriented Refactorings with Coccinelle

DuoReduce: MLIR's benchmark

Hardware-Assisted Software Testing and Debugging for Heterogeneous Computing

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high performance computing on graphics processing units: hgpu.org

Theses

Feature Extraction and Visualization from Higher-Order CFD Data

Designing Numerical Solvers for Next Generation High Performance Computing

Implementation and Evaluation of Scientific Simulations on High Performance Computing Architectures

Multiresolution Flow Simulations on Multi/many-core Architectures

Design of 3D FFT on Multi-GPU Clusters

Anisotropic mesh coarsening and refinement on GPU architecture

Massively Parallel Algorithms for CFD Simulation and Optimization on Heterogeneous Many-Core Architectures

The Lattice Boltzmann Simulation on Multi-GPU Systems

Accelerating Unstructured Mesh Computational Fluid Dynamics on the NVidia Tesla GPU Architecture

Numerical simulation of 3D particulate flows based on GPU technology

Data access optimized applications on the GPU using NVIDIA CUDA

Fast and Accurate Finite-Element Multigrid Solvers for PDE Simulations on GPU Clusters

Recent source codes

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

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

DuoReduce: MLIR's benchmark

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