high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications » Computer science » Security

Comparison and Analysis of GPGPU and Parallel Computing on Multi-Core CPU

Hong Zhang, Da-fang Zhang, Xia-an Bi

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 9800 GTX, Security

May 19, 2012 by hgpu

Parallel Cryptanalysis

Ruben Falko Niederhagen

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Tags: Algorithms, Computer science, CUDA, MPI, nVidia, nVidia GeForce GTX 295, PTX, Security, Thesis

May 12, 2012 by hgpu

An Efficient Common Substrings Algorithm for On-the-Fly Behavior-Based Malware Detection and Analysis

Jaime C. Acosta, Brenda G. Medina, Humberto Mendoza

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia Quadro 1000 M, Security

May 10, 2012 by hgpu

An Efficient Block Cipher Implementation on Many-Core Graphics Processing Units

Sangpil Lee, Deokho Kim, Jaeyoung Yi, Won Woo Ro

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Tags: Algorithms, Block Ciphers, Computer science, CUDA, Electronic design automation, nVidia, nVidia GeForce GTX 285, Security

April 2, 2012 by hgpu

On the Cryptanalysis of Public-Key Cryptography

Joppe Willem Bos

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Tags: Computer science, CUDA, Elliptic curves, Factorization, Modular arithmetic, nVidia, Playstation, Security, Thesis

April 2, 2012 by hgpu

Distributed Password Cracking Platform

Gerrie Veerman, Dimitar Pavlov

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Tags: Computer science, MPI, Review, Security, Thesis

March 31, 2012 by hgpu

Systematic construction, verification and implementation methodology for LDPC codes

Hui Yu, Jing Cui, Yixiang Wang, Yibin Yang

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Tags: Computer science, CUDA, FPGA, nVidia, nVidia GeForce GTX 260, Parity-check codes, Security

March 28, 2012 by hgpu

Fast, parallel and secure cryptography algorithm using Lorenz’s attractor

Anderson Goncalves Marco, Alexandre Souto Martinez, Odemir Martinez Bruno

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800 GT, nVidia GeForce GTX 285, Security

March 28, 2012 by hgpu

GPUstore: Harnessing GPU Computing for Storage Systems in the OS Kernel

Weibin Sun, Robert Ricci, Matthew L. Curry

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Tags: Computer science, CUDA, Data recovery, nVidia, nVidia GeForce GTX 480, Package, Security, Storage system

March 26, 2012 by hgpu

A Co-Prime Blur Scheme for Data Security in Video Surveillance

Christopher Thorpe, Feng Li, Zijia Li, Zhan Yu, David Saunders, Jingyi Yu

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Tags: Algorithms, CUDA, FFT, Image processing, nVidia, nVidia GeForce GTX 460, Security

March 23, 2012 by hgpu

Usable assembly language for GPUs: a success story

Daniel J. Bernstein, Hsieh-Chung Chen, Chen-Mou Cheng, Tanja Lange, Ruben Niederhagen, Peter Schwabe, Bo-Yin Yang

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 295, Performance, PTX, Security

March 18, 2012 by hgpu

An Algorithm for Fast Edit Distance Computation on GPUs

Reza Farivar, Harshit Kharbanda, Shivaram Venkataraman, Roy H. Campbell

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Tags: Algorithms, Bioinformatics, Biology, Computer science, CUDA, nVidia, nVidia GeForce GTX 275, Security, Sequence alignment

March 11, 2012 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

Comparison and Analysis of GPGPU and Parallel Computing on Multi-Core CPU

Parallel Cryptanalysis

An Efficient Common Substrings Algorithm for On-the-Fly Behavior-Based Malware Detection and Analysis

An Efficient Block Cipher Implementation on Many-Core Graphics Processing Units

On the Cryptanalysis of Public-Key Cryptography

Distributed Password Cracking Platform

Systematic construction, verification and implementation methodology for LDPC codes

Fast, parallel and secure cryptography algorithm using Lorenz’s attractor

GPUstore: Harnessing GPU Computing for Storage Systems in the OS Kernel

A Co-Prime Blur Scheme for Data Security in Video Surveillance

Usable assembly language for GPUs: a success story

An Algorithm for Fast Edit Distance Computation on GPUs

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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