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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

Acceleration of AES encryption on CUDA GPU

Keisuke Iwai, Naoki Nishikawa, Takakazu Kurokawa

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

January 10, 2012 by hgpu

Cryptanalysis of the Full AES Using GPU-Like Special-Purpose Hardware

Alex Biryukov and Johann Grossschadl

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Tags: AES, Algorithms, Block Ciphers, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Security

January 8, 2012 by hgpu

Graduate Operating Systems: Project Report

James Sweet

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Tags: AES, ATI, ATI Radeon HD 6750 M, Computer science, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 590, OpenCL, Operating systems, Security, Tesla M2070

January 7, 2012 by hgpu

Efficient 3D reconstruction of large-scale urban environments from street-level video

David Gallup

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 285, Security, Thesis

January 6, 2012 by hgpu

Implementation of Keccak hash function in Tree hashing mode on Nvidia GPU

Guillaume Sevestre

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Tags: Computer science, CUDA, Hashing, nVidia, nVidia GeForce GTS 250, nVidia Quadro FX 370 M, Optimization, Package, Security, Stream Ciphers

January 5, 2012 by hgpu

GPU TV-L1 Optical Flow

Brian Hrolenok, Chris McClanahan

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Tags: Algorithms, Computer science, Computer vision, nVidia, nVidia GeForce GT 330 M, OpenCL, Optical flow, Security

January 4, 2012 by hgpu

hpcbench: A set of benchmarking utilities for biomolecular simulation tools

Engineering Supercomputing Platforms for Biomolecular Applications

HPCTransCompile: An AI Compiler Generated Dataset for High-Performance CUDA Transpilation and LLM Preliminary Exploration

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

Can Large Language Models Predict Parallel Code Performance?

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high performance computing on graphics processing units: hgpu.org

Applications

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

Acceleration of AES encryption on CUDA GPU

Cryptanalysis of the Full AES Using GPU-Like Special-Purpose Hardware

Graduate Operating Systems: Project Report

Efficient 3D reconstruction of large-scale urban environments from street-level video

Implementation of Keccak hash function in Tree hashing mode on Nvidia GPU

GPU TV-L1 Optical Flow

Recent source codes

hpcbench: A set of benchmarking utilities for biomolecular simulation tools

HPCTransCompile: An AI Compiler Generated Dataset for High-Performance CUDA Transpilation and LLM Preliminary Exploration

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microSYCL: SYCL micro-benchmarks repository

XaaS containers

CASS: Cuda-Amd aSSembly

Cluser of smartphones for edge computing application using TensorFlow

SYCL Container

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

Can Large Language Models Predict Parallel Code Performance?

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