high performance computing on graphics processing units: hgpu.org

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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

JPEG 2000 Wireless Image Transmission System using Encryption Domain Authentication

Ryo Ito, Muneaki Matsuo, Yuya Miyaoka, Koji Inoue, Shoma Eguchi, Masayuki Kurosaki, Hiroshi Ochi, Yoshimitsu Kuroki, Akio Miyazaki

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Tags: Computer science, CUDA, JPEG2000, nVidia, Security

February 3, 2013 by hgpu

Fast and Maliciously Secure Two-Party Computation Using the GPU

Tore Kasper Frederiksen, Jesper Buus Nielsen

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Source codes

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 670, Package, Security

February 3, 2013 by hgpu

Exploring Different Automata Representations for Efficient Regular Expression Matching on GPUs

Xiaodong Yu, Michela Becchi

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Tags: Cellular automata, Computer science, CUDA, nVidia, Performance, Security

January 28, 2013 by hgpu

A survey on various computationally intensive parallel applications in High performance Computing System with OpenCL-MPI

Tushar Mungle, Govardhan Hegde, Srikanth Prabhu, N.GopalaKrishna Kini

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Tags: Biometrics, Computer science, MPI, OpenCL, Security

January 23, 2013 by hgpu

CuPBoP-AMD: Extending CUDA to AMD Platforms

CuPBoP: Making CUDA a Portable Language

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

Automated Deep Learning Optimization via DSL-Based Source Code Transformation

ROCm's implementation of Gromacs

GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

Experiences with implementing Kokkos’ SYCL backend

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

See all packages

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high performance computing on graphics processing units: hgpu.org

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

JPEG 2000 Wireless Image Transmission System using Encryption Domain Authentication

Fast and Maliciously Secure Two-Party Computation Using the GPU

Exploring Different Automata Representations for Efficient Regular Expression Matching on GPUs

A survey on various computationally intensive parallel applications in High performance Computing System with OpenCL-MPI

Recent source codes

CuPBoP-AMD: Extending CUDA to AMD Platforms

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

ROCm's implementation of Gromacs

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

Most viewed papers (last 30 days)