high performance computing on graphics processing units: hgpu.org

Tianyang Wang, Ziqian Bi, Yichao Zhang, Ming Liu, Weiche Hsieh, Pohsun Feng, Lawrence K.Q. Yan, Yizhu Wen, Benji Peng, Junyu Liu, Keyu Chen, Sen Zhang, Ming Li, Chuanqi Jiang, Xinyuan Song, Junjie Yang, Bowen Jing, Jintao Ren, Junhao Song, Hong-Ming Tseng, Silin Chen, Yunze Wang, Chia Xin Liang, Jiawei Xu, Xuanhe Pan, Jinlang Wang, Qian Niu

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Tags: Computer science, Deep learning, nVidia, PyTorch, Review, Security

December 15, 2024 by hgpu

Guardian: Safe GPU Sharing in Multi-Tenant Environments

Manos Pavlidakis, Giorgos Vasiliadis, Anargyros Argyros, Stelios Mavridis, Antony Chazapis, Angelos Bilas

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Tags: Computer science, CUDA, nVidia, nVidia GeForce RTX 3080 Ti, nVidia RTX A4000, PTX, Security

December 8, 2024 by hgpu

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high performance computing on graphics processing units: hgpu.org

Applications

Scalable GPU-Based Integrity Verification for Large Machine Learning Models

Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework

Managing Multi Instance GPUs for High Throughput and Energy Savings

Fuzz4cuda: Fuzzing Your Nvidia Gpu Libraries Through Debug Interface

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

Performance of Confidential Computing GPUs

Code Generation for Cryptographic Kernels using Multi-word Modular Arithmetic on GPU

CGP-Tuning: Structure-Aware Soft Prompt Tuning for Code Vulnerability Detection

Deep Learning Model Security: Threats and Defenses

Guardian: Safe GPU Sharing in Multi-Tenant Environments

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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