high performance computing on graphics processing units: hgpu.org

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Investigation of GPU-based Pattern Matching

X. Bellekens, I. Andonovic, RC. Atkinson

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Tags: Algorithms, Computer science, CUDA, nVidia, Security, String matching, Tesla K20

June 17, 2013 by hgpu

CUDA Leaks: Information Leakage in GPU Architectures

Roberto Di Pietro, Flavio Lombardi, Antonio Villani

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GT 640, Security, Tesla C2050

June 4, 2013 by hgpu

A Comparison of Statistical Techniques for Detecting Side-Channel Information Leakage in Cryptographic Devices

Luke Mather, Elisabeth Oswald, Joe Bandenburg, Marcin Wojcik

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Tags: ATI, ATI Radeon HD 7970, Computational Complexity, Computer science, OpenCL, Security

May 30, 2013 by hgpu

On Leveraging GPUs for Security: discussing k-anonymity and pattern matching

Leonardo Jero

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Tags: Algorithms, ATI, ATI Radeon HD 6850, Computer science, nVidia, nVidia GeForce GT 640, OpenCL, Security, Tesla C2050, Tesla C2070, Thesis

May 28, 2013 by hgpu

Analysis of Parallel Montgomery Multiplication in CUDA

Yuheng Liu

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Tags: Algorithms, Computer science, CUDA, Elliptic curves, nVidia, nVidia GeForce GT 650 M, Security, Thesis

May 28, 2013 by hgpu

3DES ECB Optimized for Massively Parallel CUDA GPU Architecture

Lukasz Swierczewski

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTS 250, Security, Tesla C2050

May 21, 2013 by hgpu

Secrets from the GPU

Jean-Marie Chauvet, Eric Mahe

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Tags: Computer science, Modular arithmetic, nVidia, nVidia GeForce GTX 275, OpenCL, RSA, Security

May 17, 2013 by hgpu

Blum Blum Shub on the GPU

Mikael Olsson, Niklas Gullberg

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce GTX 580, OpenCL, Pseudo-random number generators, Security, Thesis

May 11, 2013 by hgpu

The GPU-based High-performance Pattern-matching Algorithm for Intrusion Detection

Dongliang Xu, Hongli Zhang, Yujian Fan

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Tags: Biology, Computer science, CUDA, Information Retrieval, nVidia, nVidia GeForce 9800 GTS, nVidia GeForce GTX 570, Security, String matching

May 11, 2013 by hgpu

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

High Performance Data Leak Detection

Xiaokui Shu, Jing Zhang, Danfeng (Daphne) Yao, Wu-Chun Feng

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

April 30, 2013 by hgpu

Design and Performance Analysis of Parallel Processing of SRTP Packets

Jan Wozniak

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Tags: Computer science, Intel, OpenCL, Security

April 26, 2013 by hgpu

CFAL-bench

Comparing Parallel Functional Array Languages: Programming and Performance

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

DeepCompile: A Compiler-Driven Approach to Optimizing Distributed Deep Learning Training

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

See all packages

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high performance computing on graphics processing units: hgpu.org

Investigation of GPU-based Pattern Matching

CUDA Leaks: Information Leakage in GPU Architectures

A Comparison of Statistical Techniques for Detecting Side-Channel Information Leakage in Cryptographic Devices

On Leveraging GPUs for Security: discussing k-anonymity and pattern matching

Analysis of Parallel Montgomery Multiplication in CUDA

3DES ECB Optimized for Massively Parallel CUDA GPU Architecture

Secrets from the GPU

Blum Blum Shub on the GPU

The GPU-based High-performance Pattern-matching Algorithm for Intrusion Detection

Efficient implementation for QUAD stream cipher with GPUs

High Performance Data Leak Detection

Design and Performance Analysis of Parallel Processing of SRTP Packets

Recent source codes

CFAL-bench

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

PELSI: Power-Efficient Layer-Switched Inference

Ouroboros: Virtualized Queues for dynamic memory management

MSCCL++: A GPU-driven communication stack for scalable AI applications

Benchmark compute shader of Unity against InteropUnityCUDA

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

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