high performance computing on graphics processing units: hgpu.org

hgpu.org » Optimization

Graphic-Processing-Units Based Adaptive Parameter Estimation of a Visual Psychophysical Model

Hairong Gu

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Tags: Algorithms, Computer science, CUDA, nVidia, Optimization, Tesla C2050, Thesis

January 4, 2013 by hgpu

Algorithmic Skeleton Framework for the Orchestration of GPU Computations

Ricardo Jorge dos Santos Marques

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce GTX 680, OpenCL, Optimization, Programming techniques, Tesla C2050

December 25, 2012 by hgpu

Implementation of Motion Estimation Based on Heterogeneous Parallel Computing System with OpenCL

Jinglin Zhang, Jean-Francois Nezan, Jean-Gabriel Cousin

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Tags: ATI, ATI Radeon HD 6870, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GT 540 M, OpenCL, Optimization

December 23, 2012 by hgpu

Accuracy, Memory, and Speed Strategies in GPU-Based Finite-Element Matrix-Generation

Adam Dziekonski, Piotr Sypek, Adam Lamecki, Michal Mrozowski

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Tags: CUDA, Electrodynamics, FEM, Finite element method, nVidia, Optimization, Tesla C2075

December 16, 2012 by hgpu

Communication-Avoiding Optimization of Geometric Multigrid on GPUs

Amik Singh

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Tags: Algorithms, Computer science, CUDA, nVidia, Optimization, Tesla C2050

December 16, 2012 by hgpu

Parallel Cosegmentation via Submodular Optimization on Anisotropic Diffusion

Dinesh Majeti, Aditya Prakash, S. Balasubramanian, PK Baruah

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Tags: Clustering, CUDA, CULA, Image processing, nVidia, Optimization, Tesla S2050

December 5, 2012 by hgpu

Optimizing 3D Convolutions for Wavelet Transforms on CPUs with SSE Units and GPUs

Brice Videau, Vania Marangozova-Martin, Luigi Genovese, Thierry Deutsch

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Tags: Algorithms, ATI, ATI Radeon HD 6970, Computer science, Heterogeneous systems, nVidia, OpenCL, Optimization, Tesla C2070, Wavelet

November 27, 2012 by hgpu

Auto-tuning on the macro scale: high level algorithmic auto-tuning for scientific applications

Cy P Chan

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Tags: Algorithms, Code generation, Computer science, nVidia, nVidia GeForce GTX 280, Optimization, Thesis

November 23, 2012 by hgpu

High-Performance General Solver for Extremely Large-Scale Semidefinite Programming Problems

Katsuki Fujisawa, Hitoshi Sato, Satoshi Matsuoka, Toshio Endo, Makoto Yamashita, Maho Nakata

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Tags: Algorithms, Computer science, CUDA, Factorization, nVidia, Optimization, Tesla M2050

November 21, 2012 by hgpu

MPC Toolbox with GPU Accelerated Optimization Algorithms

Nicolai Fog Gade-Nielsen, John Bagterp Jorgensen, Bernd Dammann

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Tags: Algorithms, Computer science, CUDA, nVidia, Optimization, Tesla C2050

November 20, 2012 by hgpu

Lattice Boltzmann Simulations on a GPU: An optimization approach using C++ AMP

Kristoffer Clausen Thyholdt

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Tags: Algorithms, Fluid dynamics, Lattice Boltzmann model, nVidia, nVidia Quadro 1000 M, Optimization, Thesis

November 18, 2012 by hgpu

Performance modeling of atomic additions on GPU scratchpad memory

Juan Gomez-Luna, Jose Maria Gonzalez-Linares, Jose Ignacio Benavides, Nicolas Guil

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Tags: Clustering, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Optimization

November 14, 2012 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

Graphic-Processing-Units Based Adaptive Parameter Estimation of a Visual Psychophysical Model

Algorithmic Skeleton Framework for the Orchestration of GPU Computations

Implementation of Motion Estimation Based on Heterogeneous Parallel Computing System with OpenCL

Accuracy, Memory, and Speed Strategies in GPU-Based Finite-Element Matrix-Generation

Communication-Avoiding Optimization of Geometric Multigrid on GPUs

Parallel Cosegmentation via Submodular Optimization on Anisotropic Diffusion

Optimizing 3D Convolutions for Wavelet Transforms on CPUs with SSE Units and GPUs

Auto-tuning on the macro scale: high level algorithmic auto-tuning for scientific applications

High-Performance General Solver for Extremely Large-Scale Semidefinite Programming Problems

MPC Toolbox with GPU Accelerated Optimization Algorithms

Lattice Boltzmann Simulations on a GPU: An optimization approach using C++ AMP

Performance modeling of atomic additions on GPU scratchpad memory

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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