- Title
- Extending the NFComms framework for bulk data transfers
- Creator
- Pennefather, Sean
- Creator
- Bradshaw, Karen L
- Creator
- Irwin, Barry V W
- Subject
- To be catalogued
- Date Issued
- 2018
- Date
- 2018
- Type
- text
- Type
- article
- Identifier
- http://hdl.handle.net/10962/430152
- Identifier
- vital:72669
- Identifier
- https://doi.org/10.1145/3278681.3278686
- Description
- In this paper we present the design and implementation of an indirect messaging extension for the existing NFComms framework that pro-vides communication between a network flow processor and host CPU. This extension addresses the bulk throughput limitations of the frame-work and is intended to work in conjunction with existing communication mediums. Testing of the framework extensions shows an increase in throughput performance of up to 300× that of the current direct mes-sage passing framework at the cost of increased single message laten-cy of up to 2×. This trade-off is considered acceptable as the proposed extensions are intended for bulk data transfer only while the existing message passing functionality of the framework is preserved and can be used in situations where low latency is required for small messages.
- Format
- 9 pages
- Format
- Language
- English
- Relation
- Proceedings of the Annual Conference of the South African Institute of Computer Scientists and Information Technologists
- Relation
- Pennefather, S., Bradshaw, K. and Irwin, B., 2018, September. Extending the NFComms framework for bulk data transfers. In Proceedings of the Annual Conference of the South African Institute of Computer Scientists and Information Technologists (pp. 39-48)
- Relation
- Proceedings of the Annual Conference of the South African Institute of Computer Scientists and Information Technologists volume 2018 number 1 39 48 2018 978-1-4503-6647-2
- Rights
- Publisher
- Rights
- Use of this resource is governed by the terms and conditions of the ACM Digital Library Statement (https://libraries.acm.org/digital-library/policies#anchor3)
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Collections
Irwin, Barry V W (Prof)
Bradshaw, Karen Lee (Assoc Prof)
RU Department of Computer Science
SDG 09. Industry, Innovation and Infrastructure
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