GPU Memory Reallocation Techniques in Fully Homomorphic Encryption Workloads-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

GPU Memory Reallocation Techniques in Fully Homomorphic Encryption Workloads

Published:2024-04-08 Issue: Volume:152 Page:1525-1532
ISSN:
Container-title:Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing
language:
Short-container-title:

Author:

Choi Jake¹^ORCID,Jung Sunchul²^ORCID,Yeom Heonyoung¹^ORCID

Affiliation:

1. Computer Science, Seoul National University, Seoul, Seoul, Republic of Korea

2. CryptoLab, Seoul, Republic of Korea

Funder

CryptoLab

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3605098.3636037

Reference35 articles.

1. 2022. https://heaan.it/

2. 2022. https://developer.nvidia.com/blog/using-cuda-stream-ordered-memory-allocator-part-1/

3. 2023. https://docs.nvidia.com/cuda/

4. 2023. https://www.geeksforgeeks.org/unordered_map-in-cpp-stl/

5. Andrew V Adinetz and Dirk Pleiter. 2014. Halloc: a high-throughput dynamic memory allocator for GPGPU architectures. In GPU Technology Conference (GTC), Vol. 152.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP