high performance computing on graphics processing units: hgpu.org

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Efficient implementation for QUAD stream cipher with GPUs

Tanaka Satoshi, Nishide Takashi, Sakurai Kouichi

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Security, Stream Ciphers

May 2, 2013 by hgpu

Optimized GPU Implementation and Performance Analysis of HC Series of Stream Ciphers

Ayesha Khalid, Deblin Bagchi, Goutam Paul, Anupam Chattopadhyay

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Tags: Block Ciphers, Computer science, CUDA, nVidia, nVidia GeForce GTX 590, Optimization, Security, Stream Ciphers

February 8, 2013 by hgpu

Analysis & Design of Efficient Cryptographic Systems

Michael Lehmann

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Package, Security, Stream Ciphers

October 28, 2012 by hgpu

A structural analysis of the A5/1 state transition graph

Andreas Beckmann, Jaroslaw Fedorowicz, Jorg Keller, Ulrich Meyer

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Tags: Algorithms, Computer science, CUDA, Data Structures and Algorithms, nVidia, nVidia GeForce GTX 580, Security, Stream Ciphers, Tesla C1060

October 25, 2012 by hgpu

Efficient Parallel Evaluation of Multivariate Quadratic Polynomials on GPUs

Satoshi Tanaka, Tung Chou, Bo-Yin Yang, Chen-Mou Cheng, Kouichi Sakurai

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Security, Stream Ciphers

August 16, 2012 by hgpu

Implementation of Keccak hash function in Tree hashing mode on Nvidia GPU

Guillaume Sevestre

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Tags: Computer science, CUDA, Hashing, nVidia, nVidia GeForce GTS 250, nVidia Quadro FX 370 M, Optimization, Package, Security, Stream Ciphers

January 5, 2012 by hgpu

Analysis and Implementation of eSTREAM and SHA-3 Cryptographic Algorithms

Deian Stefan

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Tags: Algorithms, Benchmarking, Computer science, CUDA, nVidia, nVidia GeForce GTX 295, Optimization, Security, Stream Ciphers, Thesis

October 21, 2011 by hgpu

Secret Key Cryptography Using Graphics Cards

Debra L. Cook, John Ioannidis, Angelos D. Keromytis

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Tags: AES, ATI, ATI Mobility Radeon 7500, Block Ciphers, Computer science, nVidia, nVidia GeForce 3, OpenGL, Security, Stream Ciphers

May 22, 2011 by hgpu

CryptoGraphics: Secret Key Cryptography Using Graphics Cards

D. Cook, J. Ioannidis, A. Keromytis, J. Luck

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Tags: AES, Block Ciphers, Computer science, Security, Stream Ciphers

November 2, 2010 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 implementation for QUAD stream cipher with GPUs

Optimized GPU Implementation and Performance Analysis of HC Series of Stream Ciphers

Analysis & Design of Efficient Cryptographic Systems

A structural analysis of the A5/1 state transition graph

Efficient Parallel Evaluation of Multivariate Quadratic Polynomials on GPUs

Implementation of Keccak hash function in Tree hashing mode on Nvidia GPU

Analysis and Implementation of eSTREAM and SHA-3 Cryptographic Algorithms

Secret Key Cryptography Using Graphics Cards

CryptoGraphics: Secret Key Cryptography Using Graphics Cards

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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