high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications » Computer science » Security

Enhanced implementation of the NTRUEncrypt algorithm using graphics cards

A.A. Kamal, A.M. Youssef

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 275, Security

July 7, 2011 by hgpu

A Fast, GPU based, Dictionary Attack to OpenPGP Secret Keyrings

Fabrizio Milo, Massimo Bernaschi, Mauro Bisson

Tags: Computer science, CUDA, nVidia, Security

July 6, 2011 by hgpu

AES on GPU: a CUDA Implementation

Camilla Fiorese, Ceren Budak

Tags: AES, Block Ciphers, Computer science, CUDA, nVidia, Security

July 5, 2011 by hgpu

AES and DES Encryption with GPU

Brandon P. Luken, Ming Ouyang, Ahmed H. Desoky

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Tags: AES, Block Ciphers, Computer science, CUDA, nVidia, Security, Tesla C870

July 5, 2011 by hgpu

Design of a parallel AES for graphics hardware using the CUDA framework

Andrea Di Biagio, Alessandro Barenghi, Giovanni Agosta, Gerardo Pelosi

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Tags: AES, Block Ciphers, Computer science, CUDA, nVidia, nVidia GeForce 8400 GS, nVidia GeForce 8800 GT, Security

July 5, 2011 by hgpu

Implementing AES on GPU: Final Report

Michael Kipper, Joshua Slavkin, Dmitry Denisenko

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

July 5, 2011 by hgpu

Using Graphic Processing Unit in Block Cipher Calculations (thesis)

Urmas Rosenberg

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Source codes

Tags: AES, Block Ciphers, Cg, Computer science, CUDA, nVidia, nVidia GeForce 6800 GT, nVidia GeForce 8800 GTS, OpenGL, Package, Security, Thesis

July 5, 2011 by hgpu

AES Algorithm Adapted on GPU Using CUDA for Small Data and Large Data Volume Encryption

Tomoiaga Radu Daniel, Stratulat Mircea

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Tags: AES, Computer science, CUDA, nVidia, nVidia GeForce 8800 GT, Security

July 5, 2011 by hgpu

AES Performance Analysis on Several Programming Environments, Operating Systems or Computational Platforms

Radu Tomoiaga, Mircea Stratulat

Tags: AES, Computer science, CUDA, nVidia, Security

July 4, 2011 by hgpu

Parallelization of RSA Algorithm Based on Compute Unified Device Architecture

Wenjun Fan, Xudong Chen, Xuefeng Li

Tags: Computer science, CUDA, nVidia, Security

July 2, 2011 by hgpu

Performance and Power Efficiency Analysis of the Symmetric Cryptograph on Two Stream Processor Architectures

Guang Xu, Hong An, Gu Liu, Ping Yao, Mu Xu, Wenting Han, Xiaoqiang Li, Xiurui Hao

Tags: AES, Computer science, Energy-efficient computing, nVidia, nVidia GeForce 9800 GTX, Security

June 28, 2011 by hgpu

GPU-Based Parallel Signature Scanning and Hash Generation

Bernhard Fechner

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Tags: Computer science, CUDA, Hashing, nVidia, nVidia GeForce GTX 260, Pattern Search, Security, Sequence matching

June 24, 2011 by hgpu

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

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high performance computing on graphics processing units: hgpu.org

Applications

Enhanced implementation of the NTRUEncrypt algorithm using graphics cards

A Fast, GPU based, Dictionary Attack to OpenPGP Secret Keyrings

AES on GPU: a CUDA Implementation

AES and DES Encryption with GPU

Design of a parallel AES for graphics hardware using the CUDA framework

Implementing AES on GPU: Final Report

Using Graphic Processing Unit in Block Cipher Calculations (thesis)

AES Algorithm Adapted on GPU Using CUDA for Small Data and Large Data Volume Encryption

AES Performance Analysis on Several Programming Environments, Operating Systems or Computational Platforms

Parallelization of RSA Algorithm Based on Compute Unified Device Architecture

Performance and Power Efficiency Analysis of the Symmetric Cryptograph on Two Stream Processor Architectures

GPU-Based Parallel Signature Scanning and Hash Generation

Recent source codes

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

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