high performance computing on graphics processing units: hgpu.org

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Efficient fine grained shared buffer management for multiple OpenCL devices

Chang-qing Xun, Dong Chen, Qiang Lan, Chun-yuan Zhang

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Tags: Computer science, Heterogeneous systems, Memory model, nVidia, OpenCL, Tesla C2050

October 19, 2013 by hgpu

Automatic run-time mapping of polyhedral computations to heterogeneous devices with memory-size restrictions

Yuri Torres, Arturo Gonzalez-Escribano, Diego R. Llanos

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Tags: Computer science, CUDA, Heterogeneous systems, Memory model, nVidia, nVidia GeForce GTX 680

October 12, 2013 by hgpu

Algorithmic GPGPU Memory Optimization

Byunghyun Jang, Minsu Choi, Kyung Ki Kim

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Tags: Algorithms, Computer science, Heterogeneous systems, Memory model, nVidia, nVidia GeForce GTX 285, OpenCL, Performance

September 15, 2013 by hgpu

Phase Aware Memory Scheduling

C. Sangani, M. Venkatesan, R. Ramesh

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Tags: Heterogeneous systems, Memory, Memory model

September 6, 2013 by hgpu

A memory access model for highly-threaded many-core architectures

Lin Ma, Kunal Agrawal, Roger D. Chamberlain

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Tags: Algorithms, Computer science, CUDA, Memory model, nVidia, nVidia GeForce GTX 480

August 23, 2013 by hgpu

Improving GPU programming models through hardware cache coherence

Inderpreet Singh

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Tags: Computer science, GPGPU-sim, Memory model, Thesis

June 14, 2013 by hgpu

The Hierarchical Memory Machine Model for GPUs

Koji Nakano

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Tags: Algorithms, Computer science, CUDA, Memory model, nVidia, nVidia GeForce GTX 580

June 12, 2013 by hgpu

Towards shared memory consistency models for GPUs

Tyler Sorensen

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Tags: Computer science, CUDA, Memory model, nVidia, Performance, PTX, Thesis

June 4, 2013 by hgpu

Sequential Consistency for Heterogeneous-Race-Free: Programmer-centric Memory Models for Heterogeneous Platforms

Derek R. Hower, Bradford M. Beckmann, Benedict R. Gaster, Blake A. Hechtman, Mark D. Hill, Steven K. Reinhardt, David A. Wood

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Tags: Computer science, CUDA, Heterogeneous systems, Memory model, nVidia, OpenCL, Performance

May 23, 2013 by hgpu

Performance Traps in OpenCL for CPUs

Jie Shen, Jianbin Fang, Henk Sips, Ana Lucia Varbanescu

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Tags: Computer science, Memory model, OpenCL, Performance

March 12, 2013 by hgpu

Efficient Parallel and External Matching

Marcel Birn, Vitaly Osipov, Peter Sanders, Christian Schulz, Nodari Sitchinava

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Tags: Algorithms, Computer science, CUDA, Data Structures and Algorithms, MapReduce, Memory model, nVidia, nVidia GeForce GTX 480

February 23, 2013 by hgpu

An Implementation of Conflict-Free Offline Permutation on the GPU

Akihiko Kasagi, Koji Nakano, Yasuaki Ito

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Tags: Computer science, CUDA, Memory, Memory model, nVidia, nVidia GeForce GTX 680, Performance

February 6, 2013 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

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high performance computing on graphics processing units: hgpu.org

Efficient fine grained shared buffer management for multiple OpenCL devices

Automatic run-time mapping of polyhedral computations to heterogeneous devices with memory-size restrictions

Algorithmic GPGPU Memory Optimization

Phase Aware Memory Scheduling

A memory access model for highly-threaded many-core architectures

Improving GPU programming models through hardware cache coherence

The Hierarchical Memory Machine Model for GPUs

Towards shared memory consistency models for GPUs

Sequential Consistency for Heterogeneous-Race-Free: Programmer-centric Memory Models for Heterogeneous Platforms

Performance Traps in OpenCL for CPUs

Efficient Parallel and External Matching

An Implementation of Conflict-Free Offline Permutation on the GPU

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

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