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Programming of shared memory GPUs shared memory systems

Jean-Philippe Bergeron

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTS, Optimization, Programming techniques

January 2, 2012 by hgpu

The Optimization of Algorithms in the Process of Temporal Data Mining Using the Compute Unified Device Architecture

Alexandru Pirjan

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Tags: Algorithms, Computer science, CUDA, Data mining, MapReduce, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce 9800 GX2, nVidia GeForce GTX 280, nVidia GeForce GTX 480, Optimization, Review

November 24, 2011 by hgpu

A CUDA Implementation of Independent Component Analysis in the Time-Frequency Domain

Radoslaw Mazur, Alfred Mertins

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Source codes

Tags: Algorithms, CUDA, nVidia, nVidia GeForce 8800 GTS, Package, Signal processing

November 4, 2011 by hgpu

General purpose computing on graphics processing units using OpenCL

Mats Johansson, Oscar Winter

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Tags: Algorithms, ATI, ATI Radeon HD 4870, ATI Stream, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce GTX 480, OpenCL, Optical flow, Optimization, Thesis

October 12, 2011 by hgpu

An Execution Model and Runtime For Heterogeneous Many-Core Systems

Gregory Diamos

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce 9800 GX2, nVidia GeForce GTX 280, Optimization, Package, PTX, Tesla C1060, Tesla S870, Thesis

October 2, 2011 by hgpu

Global optimization model on power efficiency of GPU and multicore processing element for SIMD computing with CUDA

Da-Qi Ren, Reiji Suda

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Tags: Algorithms, Computer science, CUDA, Energy-efficient computing, nVidia, nVidia GeForce 8800 GTS, Optimization, Tesla C2050

September 28, 2011 by hgpu

Automatic compilation of MATLAB programs for synergistic execution on heterogeneous processors

Ashwin Prasad, Jayvant Anantpur, R. Govindarajan

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Tags: Benchmarking, Clustering, Computer science, CUDA, Data parallelism, Flow analysis, Heterogeneous systems, nVidia, nVidia GeForce 8800 GTS, Optimization

September 20, 2011 by hgpu

An adaptative game loop architecture with automatic distribution of tasks between CPU and GPU

Mark Joselli, Marcelo Zamith, Esteban Clua, Anselmo Montenegro, Regina Leal-Toledo, Aura Conci, Paulo Pagliosa, Luis Valente, Bruno Feijo

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Tags: Computer science, CUDA, Games, nVidia, nVidia GeForce 8200 M, nVidia GeForce 8400 GS, nVidia GeForce 8800 GTS, Performance, Task scheduling

September 19, 2011 by hgpu

A Fast GPU Implementation for Solving Sparse Ill-Posed Linear Equation Systems

Florian Stock, Andreas Koch

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Tags: Cell processor, Conjugate gradient solver, CUDA, FPGA, Image processing, Image reconstruction, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce GTX 280, Optimization, Sparse matrix

September 8, 2011 by hgpu

Real-Time Tone Mapping for High-Resolution HDR Images

Hanli Zhao, Xiaogang Jin, Jianbing Shen

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce 8800 GTS, OpenGL, Rendering

September 5, 2011 by hgpu

Volume exploration using ellipsoidal Gaussian transfer functions

Yunhai Wang, Wei Chen, Guihua Shan, Tingxin Dong, Xuebin Chi

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Tags: 3D Graphics and Realism, Cg, Computer science, nVidia, nVidia GeForce 8800 GTS, Rendering

August 31, 2011 by hgpu

Real-time photo style transfer

Hanli Zhao, Xiaogang Jin, Jianbing Shen, Feifei Wei

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Tags: CUDA, DirectX, Image processing, nVidia, nVidia GeForce 8800 GTS, Real-time graphics

August 28, 2011 by hgpu

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

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

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming of shared memory GPUs shared memory systems

The Optimization of Algorithms in the Process of Temporal Data Mining Using the Compute Unified Device Architecture

A CUDA Implementation of Independent Component Analysis in the Time-Frequency Domain

General purpose computing on graphics processing units using OpenCL

An Execution Model and Runtime For Heterogeneous Many-Core Systems

Global optimization model on power efficiency of GPU and multicore processing element for SIMD computing with CUDA

Automatic compilation of MATLAB programs for synergistic execution on heterogeneous processors

An adaptative game loop architecture with automatic distribution of tasks between CPU and GPU

A Fast GPU Implementation for Solving Sparse Ill-Posed Linear Equation Systems

Real-Time Tone Mapping for High-Resolution HDR Images

Volume exploration using ellipsoidal Gaussian transfer functions

Real-time photo style transfer

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

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

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

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

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

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