high performance computing on graphics processing units: hgpu.org

hgpu.org » Optimization

Efficient Calculation of Pairwise Nonbonded Forces

Matt Chiu, Md. Ashfaquzzaman Khan, Martin C. Herbordt

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Tags: Chemistry, Electrostatics, FPGA, Molecular dynamics, Optimization, Performance

August 15, 2011 by hgpu

Performance evaluation and optimization of random memory access on multicores with high productivity

Vaibhav Saxena, Yogish Sabharwal, Pramod Bhatotia

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Tags: Benchmarking, Computer science, CUDA, Memory, nVidia, nVidia Quadro FX 4600, Optimization

August 10, 2011 by hgpu

Cache Miss Analysis for GPU Programs Based on Stack Distance Profile

Tao Tang, Xuejun Yang, Yisong Lin

Tags: Computer science, Memory, Optimization

August 9, 2011 by hgpu

Optimization of parallel Genetic Algorithms for nVidia GPUs

Mohamed Wahib, Asim Munawar, Masaharu Munetomo, Kiyoshi Akama

Tags: Algorithms, Computer science, Evolutionary Computations, Genetic programming, nVidia, Optimization, Review, Tesla C1060

August 9, 2011 by hgpu

PUGACE, a cellular Evolutionary Algorithm framework on GPUs

Nicolas Soca, Jose Luis Blengio, Martin Pedemonte, Pablo Ezzatti

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Tags: Algorithms, Computer science, CUDA, Evolutionary Computations, Metaheuristics, nVidia, nVidia GeForce 9800 GTX, Optimization

August 7, 2011 by hgpu

Tradeoff analysis and optimization of power delivery networks with on-chip voltage regulation

Zhiyu Zeng, Xiaoji Ye, Zhuo Feng, Peng Li

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Tags: Computer science, CUDA, Hardware Architecture, Nonlinear optimization, nVidia, nVidia GeForce 9800 GX2, Optimization

August 6, 2011 by hgpu

Reconstruction and visualization of planetary nebulae

Marcus Magnor, Gordon Kindlmann, Charles Hansen, Neb Duric

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Tags: Astrophysics, Nonlinear optimization, nVidia, nVidia GeForce FX 3000, Optimization, Rendering, Visualization

August 5, 2011 by hgpu

Constrained inverse volume rendering for planetary nebulae

M. Magnor, G. Kindlmann, N. Duric, C. Hansen

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Tags: Astrophysics, Nonlinear optimization, nVidia, nVidia GeForce FX 3000, Optimization, Rendering, Visualization

August 5, 2011 by hgpu

PIR: PMaC’s Idiom Recognizer

Catherine Olschanowsky, Allan Snavely, Mitesh R. Meswani, Laura Carrington

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Tags: Algorithms, Computer science, Optimization, Pattern recognition, Performance

August 3, 2011 by hgpu

Potential contribution of CNN-based solving of stiff ODEs and PDEs to enabling real-time Computational Engineering

J.C. Chedjou, K. Kyamakya, U.A. Khan, M.A. Latif

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Tags: Cellular neural networks, CNN, Computational Engineering, Computer science, Differential equations, DSP, FPGA, Maxwell's equations, Neural networks, ODEs, Optimization, Ordinary differential equations, Partial differential equations, PDEs

August 2, 2011 by hgpu

Adaptive, real-time visual simultaneous localization and mapping

Brian Clipp, Christopher Zach, Jongwoo Lim, Jan-Michael Frahm, Marc Pollefeys

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Tags: Computer science, Computer vision, CUDA, nVidia, Optical flow, Optimization, SIFT, Video tracking

August 1, 2011 by hgpu

Real-time foreground segmentation on GPUs using local online learning and global graph cut optimization

Minglun Gong, Li Cheng

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Tags: ATI, ATI Mobility Radeon X1400, Image processing, Optimization, Real-time graphics

July 31, 2011 by hgpu

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

MSCCL++: Rethinking GPU Communication Abstractions for Cutting-edge AI Applications

Benchmark compute shader of Unity against InteropUnityCUDA

InteropUnityCUDA: A Tool for Interoperability Between Unity and CUDA

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

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high performance computing on graphics processing units: hgpu.org

Efficient Calculation of Pairwise Nonbonded Forces

Performance evaluation and optimization of random memory access on multicores with high productivity

Cache Miss Analysis for GPU Programs Based on Stack Distance Profile

Optimization of parallel Genetic Algorithms for nVidia GPUs

PUGACE, a cellular Evolutionary Algorithm framework on GPUs

Tradeoff analysis and optimization of power delivery networks with on-chip voltage regulation

Reconstruction and visualization of planetary nebulae

Constrained inverse volume rendering for planetary nebulae

PIR: PMaC’s Idiom Recognizer

Potential contribution of CNN-based solving of stiff ODEs and PDEs to enabling real-time Computational Engineering

Adaptive, real-time visual simultaneous localization and mapping

Real-time foreground segmentation on GPUs using local online learning and global graph cut optimization

Recent source codes

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

Shamrock: Multi-GPU hydrodynamics for astrophysics

LLMPerf: GPU Performance Modeling meets Large Language Models

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