Improving the Scalability of GPU Synchronization Primitives
Author:
Affiliation:
1. University of Wisconsin-Madison, Madison, WI, USA
2. University of California, San Diego, La Jolla, CA, USA
3. University of Illinois at Urbana-Champaign, Champaign, IL, USA
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computational Theory and Mathematics,Hardware and Architecture,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/71/9956797/09933620.pdf?arnumber=9933620
Reference109 articles.
1. Building Heterogeneous Unified Virtual Memories (UVMs) without the Overhead
2. Accelerating Irregular Algorithms on GPGPUs Using Fine-Grain Hardware Worklists
3. HSA platform system architecture specification,2015
4. Heterogeneous-race-free memory models
5. Two algorithms for barrier synchronization
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. SyncMalloc: A Synchronized Host-Device Co-Management System for GPU Dynamic Memory Allocation across All Scales;Proceedings of the 53rd International Conference on Parallel Processing;2024-08-12
2. A Framework for Fine-Grained Synchronization of Dependent GPU Kernels;2024 IEEE/ACM International Symposium on Code Generation and Optimization (CGO);2024-03-02
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