Collective Communication Optimization: Problem Statement and Use cases
draft-yao-tsvwg-cco-problem-statement-and-usecases-00
| Document | Type |
Expired Internet-Draft
(individual)
Expired & archived
|
|
|---|---|---|---|
| Authors | Kehan Yao , Xu Shiping , Yizhou Li , Hongyi Huang , Dirk KUTSCHER | ||
| Last updated | 2024-04-25 (Latest revision 2023-10-23) | ||
| RFC stream | (None) | ||
| Intended RFC status | (None) | ||
| Formats | |||
| Stream | Stream state | (No stream defined) | |
| Consensus boilerplate | Unknown | ||
| RFC Editor Note | (None) | ||
| IESG | IESG state | Expired | |
| Telechat date | (None) | ||
| Responsible AD | (None) | ||
| Send notices to | (None) |
This Internet-Draft is no longer active. A copy of the expired Internet-Draft is available in these formats:
Abstract
Collective communication is the basic logical communication model for distributed applications. When distributed systems scales, the communication overhead becomes the bottleneck of the entire system, impeding system performance to increase. This draft describes the performance challenges when the collective communication is employed in a network with more nodes or processes participating in or a larger number of such communication rounds required to complete a single job. And the document presents several use cases where different aspects of collective communication optimization are needed.
Authors
Kehan Yao
Xu Shiping
Yizhou Li
Hongyi Huang
Dirk KUTSCHER
(Note: The e-mail addresses provided for the authors of this Internet-Draft may no longer be valid.)