high performance computing on graphics processing units: hgpu.org

hgpu.org » Optimization

Accelerating Particle Swarm Algorithm with GPGPU

M. Cadenas-Montes, M.A. Vega-Rodriguez, J.J. Rodriguez-Vazquez, A. Gomez-Iglesias

Tags: Algorithms, Computer science, Evolutionary Computations, Optimization

April 16, 2011 by hgpu

Speeding up K-Means Algorithm by GPUs

You Li, Kaiyong Zhao, Xiaowen Chu, Jiming Liu

Tags: Algorithms, Computer science, Matrix multiplication, Optimization

April 13, 2011 by hgpu

NQueens on CUDA: Optimization Issues

Frank Feinbube, Bernhard Rabe, Martin von Lowis, Andreas Polze

Tags: Algorithms, Computer science, CUDA, Memory model, nVidia, Optimization

April 13, 2011 by hgpu

Implementation and optimization of image processing algorithms on handheld GPU

Nitin Singhal, In Kyu Park, Sungdae Cho

Tags: Algorithms, Image processing, OpenGL, Optimization, Rendering

April 12, 2011 by hgpu

Power analysis and optimizations for GPU architecture using a power simulator

Guibin Wang

Tags: Computer science, Energy-efficient computing, Optimization

April 12, 2011 by hgpu

CUDA Memory Optimizations for Large Data-Structures in the Gravit Simulator

Jakob Siegel, Juergen Ributzka, Xiaoming Li

Tags: Computer science, CUDA, Gravitation, Memory model, N-body simulation, nVidia, Optimization

April 12, 2011 by hgpu

Optimize or Wait? Using llc Fast-Prototyping Tool to Evaluate CUDA Optimizations

Ruyman Reyes, Francisco de Sande

Tags: Computer science, CUDA, nVidia, Optimization

April 8, 2011 by hgpu

Program Optimization of Stencil Based Application on the GPU-Accelerated System

Guibin Wang, Xuejun Yang, Ying Zhang, Tao Tang, XuDong Fang

Tags: Computer science, Optimization

April 7, 2011 by hgpu

Using GPU to Accelerate Cache Simulation

Wan Han, Gao Xiaopeng, Wang Zhiqiang, Li Yi

Tags: Algorithms, Computer science, CUDA, Memory, nVidia, Optimization

April 7, 2011 by hgpu

Toward Harnessing DOACROSS Parallelism for Multi-GPGPUs

Peng Di, Qing Wan, Xuemeng Zhang, Hui Wu, Jingling Xue

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Tags: Computer science, nVidia, Optimization, Tesla C1060

April 6, 2011 by hgpu

Heuristic Optimization Methods for Improving Performance of Recursive General Purpose Applications on GPUs

Shinichi Yamagiwa, Koichi Wada, Leonel Sousa

Tags: Computer science, Optimization, Performance

April 6, 2011 by hgpu

A Case Study of SWIM: Optimization of Memory Intensive Application on GPGPU

Wei Yi, Yuhua Tang, Guibin Wang, Xudong Fang

Tags: Computer science, Memory, nVidia, nVidia GeForce GTX 295, Optimization, Performance

April 4, 2011 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Accelerating Particle Swarm Algorithm with GPGPU

Speeding up K-Means Algorithm by GPUs

NQueens on CUDA: Optimization Issues

Implementation and optimization of image processing algorithms on handheld GPU

Power analysis and optimizations for GPU architecture using a power simulator

CUDA Memory Optimizations for Large Data-Structures in the Gravit Simulator

Optimize or Wait? Using llc Fast-Prototyping Tool to Evaluate CUDA Optimizations

Program Optimization of Stencil Based Application on the GPU-Accelerated System

Using GPU to Accelerate Cache Simulation

Toward Harnessing DOACROSS Parallelism for Multi-GPGPUs

Heuristic Optimization Methods for Improving Performance of Recursive General Purpose Applications on GPUs

A Case Study of SWIM: Optimization of Memory Intensive Application on GPGPU

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

Most viewed papers (last 30 days)