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GPU Encrypt: AES Encryption on Mobile Devices

James Gleeson, Sreekumar Rajan, Vandana Saini

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Tags: AES, Computer science, OpenCL, Security

April 21, 2014 by hgpu

A Fast and Secure Way to Prevent SQL Injection Attacks using Bitslice Technique and GPU Support

Piyush Mittal

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Tags: AES, Computer science, CUDA, Databases, nVidia, nVidia GeForce 9600 M, nVidia GeForce 9800 GT, nVidia GeForce GTX 460, Security, Thesis

November 3, 2013 by hgpu

Performance Analysis of a Symmetric Cryptography Algorithm on GPU and GPU Cluster

Adrian Pousa, Victoria Maria Sanz, Armando De Giusti

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Tags: AES, Algorithms, Computer science, CUDA, GPU cluster, MPI, nVidia, nVidia GeForce GTX 560 Ti, Security

August 17, 2013 by hgpu

Efficiently Mapping the AES Encryption Algorithm on GPUs

Wagner M. Nunan Zola, Luis C. Erpen De Bona

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Tags: AES, Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, Security, Tesla C2060, Tesla M2050

March 24, 2013 by hgpu

Performance Analysis of a Symmetric Cryptographic Algorithm on Multicore Architectures

Adrian Pousa, Victoria Sanz, Armando de Giusti

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Tags: AES, Algorithms, Computer science, CUDA, MPI, nVidia, nVidia GeForce GTX 560 Ti, Performance, Security

March 5, 2013 by hgpu

Implementation and Analysis of AES Encryption on GPU

Qinjian Li, Chengwen Zhong, Kaiyong Zhao, Xinxin Mei, Xiaowen Chu

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Tags: AES, Algorithms, Computer science, CUDA, nVidia, Security, Tesla C2050

September 25, 2012 by hgpu

Black-Box Side-Channel Attacks Highlight the Importance of Countermeasures: An Analysis of the Xilinx Virtex-4 and Virtex-5 Bitstream Encryption Mechanism

Amir Moradi, Markus Kasper, Christof Paar

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Tags: AES, Computer science, CUDA, FPGA, nVidia, Security, Tesla C2070

March 1, 2012 by hgpu

Parallel AES Encryption Engines for Many-Core Processor Arrays

Bin Liu, Bevan M. Baas

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Tags: AES, Computer science, DSP, nVidia, nVidia GeForce 8800 GTX, Security

January 16, 2012 by hgpu

Acceleration of AES encryption on CUDA GPU

Keisuke Iwai, Naoki Nishikawa, Takakazu Kurokawa

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Tags: AES, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Security

January 10, 2012 by hgpu

Cryptanalysis of the Full AES Using GPU-Like Special-Purpose Hardware

Alex Biryukov and Johann Grossschadl

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Tags: AES, Algorithms, Block Ciphers, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Security

January 8, 2012 by hgpu

Graduate Operating Systems: Project Report

James Sweet

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Tags: AES, ATI, ATI Radeon HD 6750 M, Computer science, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 590, OpenCL, Operating systems, Security, Tesla M2070

January 7, 2012 by hgpu

SSLShader: Cheap SSL Acceleration with Commodity Processors

Keon Jang, Sangjin Han, Seungyeop Han, Sue Moon, KyoungSoo Park

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Tags: AES, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Security

December 26, 2011 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

See all packages

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high performance computing on graphics processing units: hgpu.org

GPU Encrypt: AES Encryption on Mobile Devices

A Fast and Secure Way to Prevent SQL Injection Attacks using Bitslice Technique and GPU Support

Performance Analysis of a Symmetric Cryptography Algorithm on GPU and GPU Cluster

Efficiently Mapping the AES Encryption Algorithm on GPUs

Performance Analysis of a Symmetric Cryptographic Algorithm on Multicore Architectures

Implementation and Analysis of AES Encryption on GPU

Black-Box Side-Channel Attacks Highlight the Importance of Countermeasures: An Analysis of the Xilinx Virtex-4 and Virtex-5 Bitstream Encryption Mechanism

Parallel AES Encryption Engines for Many-Core Processor Arrays

Acceleration of AES encryption on CUDA GPU

Cryptanalysis of the Full AES Using GPU-Like Special-Purpose Hardware

Graduate Operating Systems: Project Report

SSLShader: Cheap SSL Acceleration with Commodity Processors

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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