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GPU-based Implementation of 128-bit Secure Eta Pairing Over a Binary Field

Utsab Bose, Anup Kumar Bhattacharya, Abhijit Das

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Tags: Algorithms, Computer science, CUDA, Elliptic curves, nVidia, nVidia GeForce GTX 480, Security, Tesla C2050

April 22, 2013 by hgpu

You Can Type, but You Can’t Hide: A Stealthy GPU-based Keylogger

Evangelos Ladakis, Lazaros Koromilas, Giorgos Vasiliadis, Michalis Polychronakis, Sotiris Ioannidis

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GT 630, nVidia GeForce GTX 480, Security

April 19, 2013 by hgpu

Computing Privacy-Preserving Edit Distance and Smith-Waterman Problems on the GPU Architecture

Shi Pu, Jyh-Charn Liu

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 680, Security, Smith-Waterman algorithm

April 18, 2013 by hgpu

Speed up Large Integer Multiplication Using Fourier Transforms and CUDA Technology

Hovhannes Bantikyan

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

April 7, 2013 by hgpu

Efficiently Mapping the AES Encryption Algorithm on GPUs

Wagner M. Nunan Zola, Luis C. Erpen De Bona

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Tags: AES, Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, Security, Tesla C2060, Tesla M2050

March 24, 2013 by hgpu

Forensics on GPU Coprocessing in Databases – Research Challenges, First Experiments, and Countermeasures

Sebastian Bress, Stefan Kiltz, Martin Schaler

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Tags: Computer science, CUDA, Databases, nVidia, nVidia GeForce 9600 GT, nVidia GeForce GT 640, Security

March 16, 2013 by hgpu

Detecting Computer Viruses using GPUs

Alexandre Nuno Vicente Dias

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Tags: Algorithms, Computer science, CUDA, nVidia, Security, String matching, Tesla C2050, Thesis

March 9, 2013 by hgpu

Performance Analysis of a Symmetric Cryptographic Algorithm on Multicore Architectures

Adrian Pousa, Victoria Sanz, Armando de Giusti

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Tags: AES, Algorithms, Computer science, CUDA, MPI, nVidia, nVidia GeForce GTX 560 Ti, Performance, Security

March 5, 2013 by hgpu

Utilizing Graphics Processing Units for Network Anomaly Detection

Jonathan D. Hersack

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Tags: Algorithms, Computer science, CUDA, Machine learning, Neural networks, nVidia, nVidia GeForce GTX 280, Security, Thesis

February 27, 2013 by hgpu

Accelerating encryption using commodity hardware

Grigore Lupescu

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Tags: Computer science, nVidia, nVidia GeForce GT 640, nVidia GeForce GTX 580, OpenCL, Security

February 18, 2013 by hgpu

Evaluation of Standardized Password-based Key Derivation against Parallel Processing Platforms

Markus Durmuth, Tim Guneysu, Markus Kasper, Christof Paar, Tolga Yalcin, Ralf Zimmermann

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Tags: Computer science, CUDA, FPGA, GPU cluster, nVidia, Review, Security, Tesla C2070

February 14, 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

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

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

GigaAPI for GPU Parallelization

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

Advances in Semantic Patching for HPC-oriented Refactorings with Coccinelle

DuoReduce: MLIR's benchmark

Hardware-Assisted Software Testing and Debugging for Heterogeneous Computing

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high performance computing on graphics processing units: hgpu.org

GPU-based Implementation of 128-bit Secure Eta Pairing Over a Binary Field

You Can Type, but You Can’t Hide: A Stealthy GPU-based Keylogger

Computing Privacy-Preserving Edit Distance and Smith-Waterman Problems on the GPU Architecture

Speed up Large Integer Multiplication Using Fourier Transforms and CUDA Technology

Efficiently Mapping the AES Encryption Algorithm on GPUs

Forensics on GPU Coprocessing in Databases – Research Challenges, First Experiments, and Countermeasures

Detecting Computer Viruses using GPUs

Performance Analysis of a Symmetric Cryptographic Algorithm on Multicore Architectures

Utilizing Graphics Processing Units for Network Anomaly Detection

Accelerating encryption using commodity hardware

Evaluation of Standardized Password-based Key Derivation against Parallel Processing Platforms

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

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PELSI: Power-Efficient Layer-Switched Inference

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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

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

DuoReduce: MLIR's benchmark

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