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Password Recovery Using MPI and CUDA

David Apostal, Kyle Foerster, Amrita Chatterjee, Travis Desell

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Tags: Algorithms, Computer science, CUDA, GPU cluster, MPI, nVidia, Security, Tesla C1060

August 26, 2012 by hgpu

Approaches for the Parallelization of Software Implementation of Integer Multiplication

Vladislav Kovtun, Andrew Okhrimenko

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Tags: Algorithms, AMD FireStream 9370, ATI, Computational Complexity, Computer science, nVidia, OpenCL, OpenMP, Security, Tesla M2090

August 22, 2012 by hgpu

Efficient Parallel Evaluation of Multivariate Quadratic Polynomials on GPUs

Satoshi Tanaka, Tung Chou, Bo-Yin Yang, Chen-Mou Cheng, Kouichi Sakurai

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Security, Stream Ciphers

August 16, 2012 by hgpu

GPU-Assisted Cryptography of Log-Structured Indices

Michael Warren Kirby

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Tags: Algorithms, Computer science, CUDA, Hashing, nVidia, nVidia GeForce 9400 M, nVidia GeForce GTS 450, nVidia GeForce GTX 480 M, nVidia GeForce GTX 550 Ti, Security, Thesis

August 15, 2012 by hgpu

Kargus: a Highly-scalable Software-based Intrusion Detection System

Muhammad Jamshed, Jihyung Lee, Sangwoo Moon, Insu Yun, Deokjin Kim, Sungryoul Lee, Yung Yi, KyoungSoo Park

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 580, Security

August 9, 2012 by hgpu

Accelerating Cryptographic Primitives with GPUs

Patrick Carpenter

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Tags: Computer science, CUDA, Hashing, nVidia, Review, Security

August 6, 2012 by hgpu

Scheduling processing of real-time data streams on heterogeneous multi-GPU systems

Uri Verner, Assaf Schuster, Avi Mendelson, Mark Silberstein

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Security, Task scheduling

July 24, 2012 by hgpu

Optimized Private Information Retrieval Protocol Using Graphics Processing Unit With Reduced Accessibility

Sandip B. Bansode

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Tags: Computer science, CUDA, Databases, Information Retrieval, nVidia, nVidia GeForce GTX 280, Security, Thesis

July 20, 2012 by hgpu

Offloading Critical Security Operations to the GPU

Frank Yi-Fei Wang

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Tags: Computer science, CUDA, nVidia, Security, Thesis

July 18, 2012 by hgpu

High-Performance Symmetric Block Ciphers on Multicore CPU and GPUs

Naoki Nishikawa, Keisuke Iwai, Takakazu Kurokawa

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Tags: Algorithms, Block Ciphers, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Security, Tesla C2050

July 12, 2012 by hgpu

Efficient Parallel RSA Decryption Algorithm for Many-core GPUs with CUDA

Yu-Shiang Lin, Chun-Yuan Lin, Der-Chyuan Lou

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 260, Security, Tesla C2050, Tesla S1070

July 7, 2012 by hgpu

Using visualization to reveal weak cryptosystems

Eirik Eggesbo Ottesen

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Tags: Computer science, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 560 Ti, nVidia GeForce GTX 570, nVidia GeForce GTX 680, Security, Thesis, Visualization

June 5, 2012 by hgpu

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

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high performance computing on graphics processing units: hgpu.org

Applications

Password Recovery Using MPI and CUDA

Approaches for the Parallelization of Software Implementation of Integer Multiplication

Efficient Parallel Evaluation of Multivariate Quadratic Polynomials on GPUs

GPU-Assisted Cryptography of Log-Structured Indices

Kargus: a Highly-scalable Software-based Intrusion Detection System

Accelerating Cryptographic Primitives with GPUs

Scheduling processing of real-time data streams on heterogeneous multi-GPU systems

Optimized Private Information Retrieval Protocol Using Graphics Processing Unit With Reduced Accessibility

Offloading Critical Security Operations to the GPU

High-Performance Symmetric Block Ciphers on Multicore CPU and GPUs

Efficient Parallel RSA Decryption Algorithm for Many-core GPUs with CUDA

Using visualization to reveal weak cryptosystems

Recent source codes

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

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