近日，由天翼云科技有限公司弹性计算产品线天玑实验室撰写的两篇论文《PheCon: Fine-Grained VM Consolidation with Nimble Resource Defragmentation in Public Cloud Platforms》及《Yggdrasil: Reducing Network I/O Tax with (CXL-Based) Distributed Shared Memory》被ACM International Conference on Parallel Processing...
近日,由天翼云科技有限公司弹性计算产品线天玑实验室撰写的两篇论文《PheCon: Fine-Grained VM Consolidation with Nimble Resource Defragmentation in Public Cloud Platforms》及《Yggdrasil: Reducing Network I/O Tax with (CXL-Based)Distributed Shared Memory》被ACM International Conference on Parallel Processing(I...
近日,由天翼云科技有限公司弹性计算产品线天玑实验室独立撰写的两篇论文《PheCon: Fine-Grained VM Consolidation with Nimble Resource Defragmentation in Public Cloud Platforms》及《Yggdrasil: Reducing Network I/O Tax with (CXL-Based) Distributed Shared Memory》被ACM International Conference on Parallel Processi...
更多实验结果可以参见原文: A Bucket-aware Asynchronous Single-Source Shortest Path Algorithm on GPU | Proceedings of the 52nd International Conference on Parallel Processing Workshops (acm.org)dl.acm.org/doi/10.1145/3605731.3605746发布于 2024-09-18 23:35・北京 ...
Camera-ready Deadline: July 10th, 2024 Conference: September 8-11, 2025 ## Paper Submissions Paper length should be no more than 10 pages (including references) in the ACM SigConf format located at: https://www.acm.org/publications/proceedings-template ...