high performance computing on graphics processing units: hgpu.org

hgpu.org » Optimization

Solving knapsack problems on GPU

V. Boyer, D. El Baz, M. Elkihel

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 260, Optimization

April 21, 2011 by hgpu

Dynamic detection of uniform and affine vectors in GPGPU computations

Sylvain Collange, David Defour, Yao Zhang

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Tags: Algorithms, Computer science, CUDA, Hardware Architecture, nVidia, Optimization, Tesla

April 19, 2011 by hgpu

Linear optimization on modern GPUs

Daniele G. Spampinato, Anne C. Elster

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Tags: CUDA, Finance, Matrix multiplication, nVidia, nVidia GeForce GTX 280, Optimization

April 18, 2011 by hgpu

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

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

See all packages

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high performance computing on graphics processing units: hgpu.org

Solving knapsack problems on GPU

Dynamic detection of uniform and affine vectors in GPGPU computations

Linear optimization on modern GPUs

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

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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