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hgpu.org » Applications » Computer science » Security

Large data real-time classification with Non-negative Matrix Factorization and Self-Organizing Maps on GPU

J. Platos, P. Gajdos

Tags: Computer science, Nonnegative matrix factorization, Security, Self-organizing map

May 3, 2011 by hgpu

Accelerating scientific applications using GPU’s

M. Taher

Tags: Bioinformatics, Biology, Computer science, CUDA, FFT, nVidia, Security, Sequence alignment

May 3, 2011 by hgpu

Implementations of hardware acceleration for MD4-family algorithms based on GPU

Wenchao Zhou, Hongwei Wu, Xiaochao Li, Donghui Guo

Tags: Algorithms, Computer science, Security

April 29, 2011 by hgpu

Serpent encryption algorithm implementation on Compute Unified Device Architecture (CUDA)

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

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

April 29, 2011 by hgpu

Improving the performance of PIR Protocol in Outsourced Databases

S.B. Mane, P.K. Sinha

Tags: AES, Computer science, Security

April 20, 2011 by hgpu

An Efficient Acceleration of Symmetric Key Cryptography Using General Purpose Graphics Processing Unit

Fan Wu, Chung-han Chen, Hira Narang

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Security

April 17, 2011 by hgpu

An Analytical Approach to the Design of Parallel Block Cipher Encryption/Decryption: A CPU/GPU Case Study

Gerassimos Barlas, Ahmed Hassan, Yasser Al Jundi

Tags: AES, Block Ciphers, Computer science, Heterogeneous systems, Security

April 12, 2011 by hgpu

High-Speed Implementations of Block Cipher ARIA Using Graphics Processing Units

Yongjin Yeom, Yongkuk Cho, Moti Yung

Tags: Block Ciphers, Computer science, CUDA, Hardware Architecture, nVidia, nVidia GeForce 8800 GTS, OpenGL, Security

April 8, 2011 by hgpu

Record Setting Software Implementation of DES Using CUDA

G. Agosta, A. Barenghi, F. De Santis, G. Pelosi

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 250, nVidia GeForce GTX 260, nVidia GeForce GTX 275, nVidia GeForce GTX 285, nVidia GeForce GTX 295, Security

April 8, 2011 by hgpu

High throughput multiple-precision GCD on the CUDA architecture

N. Fujimoto

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

April 7, 2011 by hgpu

An implementation and its evaluation of password cracking tool parallelized on GPGPU

T. Murakami, R. Kasahara, T. Saito

Tags: Computer science, CUDA, nVidia, Security

April 5, 2011 by hgpu

The AES Implantation Based on OpenCL for Multi/many Core Architecture

Osvaldo Gervasi, Diego Russo, Flavio Vella

Tags: AES, Computer science, OpenCL, Security

March 31, 2011 by hgpu

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

DVM: Real-Time Kernel Generation for Dynamic AI Models

Agentic Code Optimization via Compiler-LLM Cooperation

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

AutoKernel: Autonomous GPU Kernel Optimization via Iterative Agent-Driven Search

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

LLM.Q: Quantized LLM training in pure CUDA/C++

LLMQ: Efficient Lower-Precision LLM Training for Consumer GPUs

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

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