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Vulnerability Analysis and Attacks on Intel Xeon Phi Coprocessor

Seungmin Lee, Ju-Won Park

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Tags: Computer science, Intel Xeon Phi, Security

August 26, 2017 by hgpu

Large Integer Arithmetic in GPU for Cryptography

Lee Wen Dick

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 1070, Security, Thesis

August 26, 2017 by hgpu

Speeding up lattice sieve with Xeon Phi coprocessor

Anja Becker, Dusan Kostic

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Tags: Algorithms, Computer science, Intel Xeon Phi, Security

July 2, 2017 by hgpu

Design Exploration of AES Accelerators on FPGAs and GPUs

Vincenzo Conti, Salvatore Vitabile

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Tags: AES, Computer science, FPGA, nVidia, nVidia GeForce GT 520, nVidia GeForce GT 555 M, OpenCL, Security

April 7, 2017 by hgpu

Key Reconciliation with Low-Density Parity-Check Codes for Long-Distance Quantum Cryptography

Mario Milicevic, Chen Feng, Lei M. Zhang, P. Glenn Gulak

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Tags: CUDA, nVidia, nVidia GeForce GTX 1080, Parity-check codes, Physics, Quantum Physics, Security

February 28, 2017 by hgpu

Dynamic Buffer Overflow Detection for GPGPUs

Christopher Erb, Mike Collins, Joseph L. Greathouse

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Tags: AMD FirePro W9100, ATI, Benchmarking, Computer science, OpenCL, Package, Security

February 22, 2017 by hgpu

Fast Fourier Transforms over Prime Fields of Large Characteristic and their Implementation on Graphics Processing Units

Davood Mohajerani

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Tags: Algorithms, Computer science, CUDA, FFT, nVidia, nVidia GeForce GTX 760 M, Security, Thesis

February 5, 2017 by hgpu

Android Malware Classification Using Parallelized Machine Learning Methods

Lifan Xu

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Tags: ATI, ATI Radeon HD 7970, Computer science, Deep learning, Machine learning, Neural networks, nVidia, OpenCL, OpenMP, Security, Tesla C2050, Thesis

December 31, 2016 by hgpu

Performance Analysis of CUDA and OpenCL By Implementation of Cryptographic Algorithms

Manas Mahapatra

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GT 525 M, OpenCL, Performance, Security, Thesis

November 23, 2016 by hgpu

Machine Learning Based Intrusion Detection in Controller Area Networks

Roar Elias Georgsen

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Tags: Computer science, Deep learning, DSP, FPGA, Machine learning, OpenCL, Package, Python, Security, SoC

October 15, 2016 by hgpu

Portage: Bringing Hackers’ Wisdom to Science

Guilherme Amadio, Benda Xu

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Tags: Computer science, Intel Xeon Phi, Security

October 12, 2016 by hgpu

HPC on the Intel Xeon Phi: Homomorphic Word Searching

Paulo Martins, Leonel Sousa

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Tags: Computer science, Intel Xeon Phi, Security

July 18, 2016 by hgpu

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

Scalable Access-Pattern Aware I/O Acceleration and Multi-Tiered Data Management for HPC and AI Workloads

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

Analyzing the Performance Portability of SYCL across CPUs, GPUs, and Hybrid Systems with Protein Database Search

tdg-benchs: benchmarks used to test the performance of taskgraph

Leveraging the potential of task-based programming with OpenMP task graphs

LLOR: Automatic Repair of OpenMP Programs

LLOR: Automated Repair of OpenMP Programs

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high performance computing on graphics processing units: hgpu.org

Applications

Vulnerability Analysis and Attacks on Intel Xeon Phi Coprocessor

Large Integer Arithmetic in GPU for Cryptography

Speeding up lattice sieve with Xeon Phi coprocessor

Design Exploration of AES Accelerators on FPGAs and GPUs

Key Reconciliation with Low-Density Parity-Check Codes for Long-Distance Quantum Cryptography

Dynamic Buffer Overflow Detection for GPGPUs

Fast Fourier Transforms over Prime Fields of Large Characteristic and their Implementation on Graphics Processing Units

Android Malware Classification Using Parallelized Machine Learning Methods

Performance Analysis of CUDA and OpenCL By Implementation of Cryptographic Algorithms

Machine Learning Based Intrusion Detection in Controller Area Networks

Portage: Bringing Hackers’ Wisdom to Science

HPC on the Intel Xeon Phi: Homomorphic Word Searching

Recent source codes

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

HPX: a C++ Standard Library for Concurrency and Parallelism

TorchQC: Quantum Dynamics and Machine Learning

Matrix multiplication using Tensor Cores in CUDA

CPP Joules: Energy Measurement tool for CPP/CUDA programs

HPC-Coder-v2

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

tdg-benchs: benchmarks used to test the performance of taskgraph

LLOR: Automatic Repair of OpenMP Programs

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