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The Impact of Modern Consumer GPUs on Commonly Used Secure Password Standards

Hani Khader

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Tags: AMD Radeon RX 6800, ATI, Computer science, CUDA, nVidia, nVidia GeForce RTX 4090, OpenCL, Security, Thesis

July 14, 2024 by hgpu

Supercharging Federated Learning with Flower and NVIDIA FLARE

Holger R. Roth, Daniel J. Beutel, Yan Cheng, Javier Fernandez Marques, Heng Pan, Chester Chen, Zhihong Zhang, Yuhong Wen, Sean Yang, Isaac (Te-Chung)Yang, Yuan-Ting Hsieh, Ziyue Xu, Daguang Xu, Nicholas D. Lane, Andrew Feng

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Tags: AI, Algorithms, Computer science, nVidia, Package, Security

July 7, 2024 by hgpu

Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs

Zhao Xu, Fan Liu, Hao Liu

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Tags: AI, Benchmarking, Computer science, nVidia, nVidia A800, Package, Security

June 16, 2024 by hgpu

Addressing Challenges in Utilizing GPUs for Accelerating Privacy-Preserving Computation

Ardhi Wiratama Baskara Yudha

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Tags: Computer science, CUDA, Machine learning, nVidia, nVidia GeForce RTX 2080, nVidia GeForce RTX 3090, Security, Thesis

June 2, 2024 by hgpu

A Survey of Cloud-Based GPU Threats and Their Impact on AI, HPC, and Cloud Computing

Numaan Huq, Philippe Lin, Roel Reyes, Charles Perine

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Tags: AMD Radeon Pro V520, Artificial intelligence, ATI, Cloud, Computer science, CUDA, Deep learning, nVidia, OpenCL, Security, Tesla T4

June 2, 2024 by hgpu

A Survey of Deep Learning Library Testing Methods

Xiaoyu Zhang, Weipeng Jiang, Chao Shen, Qi Li, Qian Wang, Chenhao Lin, Xiaohong Guan

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Tags: Computer science, Deep learning, Security, survey

May 5, 2024 by hgpu

High Performance Privacy Preserving AI

Jayavanth Shenoy, Patrick Grinaway, Shriphani Palakodety

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Tags: AI, Artificial intelligence, Book, Computer science, Neural networks, Security

April 14, 2024 by hgpu

Parallel Implementation of Lightweight Secure Hash Algorithm on CPU and GPU Environments

Hojin Choi, SeongJun Choi, SeogChung Seo

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Tags: Computer science, CUDA, Hashing, nVidia, nVidia GeForce RTX 2080 Ti, nVidia GeForce RTX 3090, Package, PTX, Security

March 10, 2024 by hgpu

LeftoverLocals: Listening to LLM Responses Through Leaked GPU Local Memory

Tyler Sorensen, Heidy Khlaaf

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Tags: Computer science, Data recovery, nVidia, nVidia GeForce RTX 4070, OpenCL, Package, Security, Vulkan

February 4, 2024 by hgpu

UniFL: Accelerating Federated Learning Using Heterogeneous Hardware Under a Unified Framework

Biyao Che, Zixiao Wang, Ying Chen, Liang Guo, Yuan Liu, Yuan Tian, Jizhuang Zhao

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Tags: Computer science, CUDA, Deep learning, FPGA, nVidia, OpenCL, Security, Tesla T4

January 7, 2024 by hgpu

A Model Extraction Attack on Deep Neural Networks Running on GPUs

Jonah G. O'Brien Weiss

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Tags: Computer science, Neural networks, nVidia, nVidia Quadro RTX 8000, Security, Tesla T4

August 13, 2023 by hgpu

Efficiency without Tears: Securing Multilingual Programs with TRINITY

Hao Zhu, Baojian Hua, Xinrong Lin, Yufei Wu

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Tags: Computer science, Databases, Heterogeneous systems, HPC, Machine learning, OpenCL, Security

July 30, 2023 by hgpu

GPUODEBenchmarks: Comparsion of Julia's GPU Kernel based ODE solvers with other open-source GPU ODE solvers

Automating Heterogeneous Parallelism in Numerical Differential Equations

Dat3M: Memory Model Aware Verification

Towards Unified Analysis of GPU Consistency

NVIDIA Federated Learning Application Runtime Environment

Supercharging Federated Learning with Flower and NVIDIA FLARE

Chat AI: A Seamless Slurm-Native Solution for HPC-Based Services

PSCToolkit: solving sparse linear systems with a large number of GPUs

CATBench: Benchmarking Framework

CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization

General-purpose Polyhedral Compilers

A Survey of General-purpose Polyhedral Compilers

Optimal Kernel Orchestration for Tensor Programs with Korch

Astaroth: A Scalable Multi-GPU Library for Stencil Computations

Stencil Computations on AMD and Nvidia Graphics Processors: Performance and Tuning Strategies

Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs. Empirical tricks for LLM Jailbreaking

Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs

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high performance computing on graphics processing units: hgpu.org

Applications

The Impact of Modern Consumer GPUs on Commonly Used Secure Password Standards

Supercharging Federated Learning with Flower and NVIDIA FLARE

Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs

Addressing Challenges in Utilizing GPUs for Accelerating Privacy-Preserving Computation

A Survey of Deep Learning Library Testing Methods

High Performance Privacy Preserving AI

Parallel Implementation of Lightweight Secure Hash Algorithm on CPU and GPU Environments

LeftoverLocals: Listening to LLM Responses Through Leaked GPU Local Memory

UniFL: Accelerating Federated Learning Using Heterogeneous Hardware Under a Unified Framework

A Model Extraction Attack on Deep Neural Networks Running on GPUs

Efficiency without Tears: Securing Multilingual Programs with TRINITY

Recent source codes

GPUODEBenchmarks: Comparsion of Julia's GPU Kernel based ODE solvers with other open-source GPU ODE solvers

Dat3M: Memory Model Aware Verification

NVIDIA Federated Learning Application Runtime Environment

Chat AI: A Seamless Slurm-Native Solution for HPC-Based Services

PSCToolkit: solving sparse linear systems with a large number of GPUs

CATBench: Benchmarking Framework

General-purpose Polyhedral Compilers

Optimal Kernel Orchestration for Tensor Programs with Korch

Astaroth: A Scalable Multi-GPU Library for Stencil Computations

Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs. Empirical tricks for LLM Jailbreaking

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