high performance computing on graphics processing units: hgpu.org

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GPU-based simulation of brain neuron models

H. A. Du Nguyen

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Tags: CUDA, Neural networks, Neuroscience, nVidia, nVidia GeForce GT 640, Review, Tesla C2075, Thesis

September 7, 2013 by hgpu

Towards High-Performance and Cost-Effective Distributed Storage Systems with Information Dispersal Algorithms

Dongfang Zhao, Kent Burlingame, Corentin Debains, Pedro Alvarez-Tabio, Ioan Raicu

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Tags: Algorithms, Cloud, Computer science, CUDA, nVidia, nVidia GeForce GT 640, Storage system

August 29, 2013 by hgpu

A comprehensive study of Dynamic Memory Management in OpenCL kernels

Roy Spliet

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Tags: Algorithms, ATI, Computer science, nVidia, nVidia GeForce GT 640, nVidia GeForce GTX 480, nVidia GeForce GTX 680, OpenCL, Performance, Tesla C2050, Tesla K20, Thesis

June 6, 2013 by hgpu

CUDA Leaks: Information Leakage in GPU Architectures

Roberto Di Pietro, Flavio Lombardi, Antonio Villani

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GT 640, Security, Tesla C2050

June 4, 2013 by hgpu

On Leveraging GPUs for Security: discussing k-anonymity and pattern matching

Leonardo Jero

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Tags: Algorithms, ATI, ATI Radeon HD 6850, Computer science, nVidia, nVidia GeForce GT 640, OpenCL, Security, Tesla C2050, Tesla C2070, Thesis

May 28, 2013 by hgpu

A framework for data-access strategies in GPGPU programs

L.F.C.C. Mallens

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GT 640, nVidia GeForce GTS 250, OpenACC, Thesis

May 2, 2013 by hgpu

Forensics on GPU Coprocessing in Databases – Research Challenges, First Experiments, and Countermeasures

Sebastian Bress, Stefan Kiltz, Martin Schaler

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Tags: Computer science, CUDA, Databases, nVidia, nVidia GeForce 9600 GT, nVidia GeForce GT 640, Security

March 16, 2013 by hgpu

Accelerating encryption using commodity hardware

Grigore Lupescu

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Tags: Computer science, nVidia, nVidia GeForce GT 640, nVidia GeForce GTX 580, OpenCL, Security

February 18, 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

GPU-based simulation of brain neuron models

A comprehensive study of Dynamic Memory Management in OpenCL kernels

CUDA Leaks: Information Leakage in GPU Architectures

On Leveraging GPUs for Security: discussing k-anonymity and pattern matching

A framework for data-access strategies in GPGPU programs

Forensics on GPU Coprocessing in Databases – Research Challenges, First Experiments, and Countermeasures

Accelerating encryption using commodity hardware

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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