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hgpu.org » Applications » Computer science » Security

A Study of CUDA Acceleration and Impact of Data Transfer Overhead in Heterogeneous Environment

Fahian Ahmed, Saddam Quirem, Bum Joo Shin, Duk Joo Son, Young Choon Woo, Byeong Kil Lee, Wan Choi

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Tags: Algorithms, Computer science, CUDA, Databases, Heterogeneous systems, nVidia, Optimization, Security, Tesla C1060

March 9, 2012 by hgpu

Parallel Hashing, Compression and Encryption with OpenCL under OS X

Vasileios Xouris

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Tags: Algorithms, Compression, Computer science, Hashing, nVidia, nVidia GeForce 9400 M, nVidia GeForce 9600 M GT, OpenCL, Security, Thesis

March 2, 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

Acceleration of Composite Order Bilinear Pairing on Graphics Hardware

Ye Zhang, Chun Jason Xue, Duncan S. Wong, Nikos Mamoulis, S.M. Yiu

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Tags: Algorithms, Cloud, Computer science, CUDA, Elliptic curves, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Security, Tesla M2050

February 21, 2012 by hgpu

GPU Parallel Statistical and Cube Test Analysis of the SHA-3 Finalist Candidate Hash Functions

Alan Kaminsky

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Tags: Computer science, CUDA, Hashing, nVidia, Package, Security, Tesla C2050

February 18, 2012 by hgpu

GPUs as Storage System Accelerators

Samer Al-Kiswany, Abdullah Gharaibeh, Matei Ripeanu

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Tags: Computer science, CUDA, Hashing, nVidia, Security, Storage system, Tesla C2050

February 17, 2012 by hgpu

Verifiable Computation with Massively Parallel Interactive Proofs

Justin Thaler, Mike Roberts, Michael Mitzenmacher, Hanspeter Pfister

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Tags: Benchmarking, Cloud, Computer science, CUDA, Data parallelism, nVidia, nVidia GeForce GTX 480, Package, Security

February 8, 2012 by hgpu

GMP implementation on CUDA – A Backward Compatible Design With Performance Tuning

Hao Jun Liu, Chu Tong

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Tags: Algorithms, Computer science, CUDA, Elementary functions, nVidia, nVidia GeForce GTX 280, Performance, Security

February 7, 2012 by hgpu

Efficient Password and Key recovery using Graphic Cards

Marc

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 260, Security, Thesis

January 30, 2012 by hgpu

Solving Discrete Logarithms in Smooth-Order Groups with CUDA

Ryan Henry, Ian Goldberg

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Tags: Algorithms, Computer science, CUDA, nVidia, Package, PTX, Security, Tesla M2050

January 29, 2012 by hgpu

RNS-Based Elliptic Curve Point Multiplication for Massive Parallel Architectures

Samuel Antao, Jean-Claude Bajard, Leonel Sousa

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Tags: Algorithms, Computer science, Elliptic curves, nVidia, nVidia GeForce GTX 285, OpenCL, Security

January 18, 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

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

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high performance computing on graphics processing units: hgpu.org

Applications

A Study of CUDA Acceleration and Impact of Data Transfer Overhead in Heterogeneous Environment

Parallel Hashing, Compression and Encryption with OpenCL under OS X

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

GPU Parallel Statistical and Cube Test Analysis of the SHA-3 Finalist Candidate Hash Functions

GPUs as Storage System Accelerators

GMP implementation on CUDA – A Backward Compatible Design With Performance Tuning

Efficient Password and Key recovery using Graphic Cards

Solving Discrete Logarithms in Smooth-Order Groups with CUDA

RNS-Based Elliptic Curve Point Multiplication for Massive Parallel Architectures

Parallel AES Encryption Engines for Many-Core Processor Arrays

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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