SyncMalloc: A Synchronized Host-Device Co-Management System for GPU Dynamic Memory Allocation across All Scales-Reference-Cited by-同舟云学术

SyncMalloc: A Synchronized Host-Device Co-Management System for GPU Dynamic Memory Allocation across All Scales

Published:2024-08-12 Issue: Volume: Page:179-188
ISSN:
Container-title:Proceedings of the 53rd International Conference on Parallel Processing
language:
Short-container-title:

Author:

Zhang Jiajian¹^ORCID,Wu Fangyu²^ORCID,Jiang Hai³^ORCID,Cheng Guangliang⁴^ORCID,Chen Genlang⁵^ORCID,Wang Qiufeng²^ORCID

Affiliation:

1. School of Advanced Technology, Xi'an Jiaotong-Liverpool University, China and The University of Liverpool, United Kingdom

2. School of Advanced Technology, Xi'an Jiaotong-Liverpool University, China

3. Bejing University of Posts and Telecommunications, China

4. Department of Computer Science, The University of Liverpool, United Kingdom

5. School of Computer and Data Engineering, NingboTech University, China

Funder

Jiangsu Province Engineering Research Centre of Data Science and Cognitive Computation at XJTLU and SIP AI innovation platform

Key Technology R&D Program of Ningbo

Suzhou Science and Technology Development Planning Programme

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3673038.3673069

Reference30 articles.

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2. Hoard

3. CRState: checkpoint/restart of OpenCL program for in-kernel applications

4. Xuhao Chen and Arvind. 2022. Efficient and Scalable Graph Pattern Mining on GPUs. In USENIX Symposium on Operating Systems Design and Implementation. USENIX Association, 857–877.

5. Improving the Scalability of GPU Synchronization Primitives