high performance computing on graphics processing units: hgpu.org

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On the performance of GPU public-key cryptography

Samuel Neves, Filipe Araujo

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

October 23, 2011 by hgpu

Analysis and Implementation of eSTREAM and SHA-3 Cryptographic Algorithms

Deian Stefan

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Tags: Algorithms, Benchmarking, Computer science, CUDA, nVidia, nVidia GeForce GTX 295, Optimization, Security, Stream Ciphers, Thesis

October 21, 2011 by hgpu

Implementing modular arithmetic using OpenCL

Fredrik Gundersen

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Tags: Algorithms, Computer science, Modular arithmetic, nVidia, nVidia GeForce GTX 285, OpenCL, Security, Thesis

October 12, 2011 by hgpu

Tranformation of CPU-based Applications To Leverage on Graphics Processors using CUDA

Fawnizu Azmadi Hussin, Anas Mohd Nazlee, Noohul Basheer Zain Ali

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Tags: Algorithms, Computer science, CUDA, Lattice Boltzmann model, nVidia, nVidia GeForce GTX 260, Performance, Programming techniques, Security

October 3, 2011 by hgpu

Reconstructing hash reversal based proof of work schemes

Jeff Green, Joshua Juen, Omid Fatemieh, Ravinder Shankesi, Dong Jin, Carl A. Gunter

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Tags: Computer science, CUDA, Hashing, nVidia, nVidia GeForce 9800 GX2, Performance, Security

September 21, 2011 by hgpu

Processing data streams with hard real-time constraints on heterogeneous systems

Uri Verner, Assaf Schuster, Mark Silberstein

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Tags: AES, Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 285, Performance, Security, Task scheduling

September 15, 2011 by hgpu

Data classification for artificial intelligence construct training to aid in network incident identification using network telescope data

Bradley Cowie, Barry Irwin

Tags: Artificial intelligence, Astrophysics, Computer science, Security

September 9, 2011 by hgpu

CUDACS: securing the cloud with CUDA-enabled secure virtualization

Flavio Lombardi, Roberto Di Pietro

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Tags: Cloud, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce 8400 M, nVidia GeForce GT 220, Security, Virtualization

September 9, 2011 by hgpu

Parallel packet classification using GPU co-processors

Alastair Nottingham, Barry Irwin

Tags: Algorithms, Computer science, CUDA, Filtering, nVidia, Security

September 7, 2011 by hgpu

A CUDA Based Implementation of an Image Authentication Algorithm

Caiwei Lin, Lei Zhao, Jiwen Yang

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Tags: Algorithms, Computer science, CUDA, nVidia, Security, Tesla C1060

September 5, 2011 by hgpu

Using GPU to exploit parallelism on cryptography

R.C. Detomini, R.S. Lobato, R. Spolon, M.A. Cavenaghi

Tags: AES, Algorithms, Computer science, CUDA, nVidia, Security

September 2, 2011 by hgpu

Accelerating String Matching Using Multi-Threaded Algorithm on GPU

Cheng-Hung Lin, Sheng-Yu Tsai, Chen-Hsiung Liu, Shih-Chieh Chang, Jyuo-Min Shyu

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 295, Security, String matching

September 2, 2011 by hgpu

CFAL-bench

Comparing Parallel Functional Array Languages: Programming and Performance

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

Can Large Language Models Predict Parallel Code Performance?

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

See all packages

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high performance computing on graphics processing units: hgpu.org

On the performance of GPU public-key cryptography

Analysis and Implementation of eSTREAM and SHA-3 Cryptographic Algorithms

Implementing modular arithmetic using OpenCL

Tranformation of CPU-based Applications To Leverage on Graphics Processors using CUDA

Reconstructing hash reversal based proof of work schemes

Processing data streams with hard real-time constraints on heterogeneous systems

Data classification for artificial intelligence construct training to aid in network incident identification using network telescope data

Parallel packet classification using GPU co-processors

A CUDA Based Implementation of an Image Authentication Algorithm

Using GPU to exploit parallelism on cryptography

Accelerating String Matching Using Multi-Threaded Algorithm on GPU

Recent source codes

CFAL-bench

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

Can Large Language Models Predict Parallel Code Performance?

PELSI: Power-Efficient Layer-Switched Inference

Ouroboros: Virtualized Queues for dynamic memory management

MSCCL++: A GPU-driven communication stack for scalable AI applications

Benchmark compute shader of Unity against InteropUnityCUDA

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

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