Research on compatibility of high-performance network stack
The massive data processing in artificial intelligence system requires the support of high-throughput network.As a bridge between the upper artificial intelligence applications and the underlying high-speed hardware network adapter,the network stack plays a crucial role in the performance of the who...
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2019-05-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2019096/ |
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| _version_ | 1841530556900179968 |
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| author | Huiyou JIANG Junfeng LI Dan LI |
| author_facet | Huiyou JIANG Junfeng LI Dan LI |
| author_sort | Huiyou JIANG |
| collection | DOAJ |
| description | The massive data processing in artificial intelligence system requires the support of high-throughput network.As a bridge between the upper artificial intelligence applications and the underlying high-speed hardware network adapter,the network stack plays a crucial role in the performance of the whole network system.Through detailed analysis and comparison of the compatibility of mainstream network stacks,it is found that the compatibility of various network stacks is generally low,which leads to difficulties in transplantation of artificial intelligence applications.The idea of achieving both high-compatibility and high-performance of user-level network stack were proposed.In this way,legacy applications could directly attain the improvement of performance without modification of the source code.Path for the subsequent development of network stack was lit up. |
| format | Article |
| id | doaj-art-e8c8e1384c2d4e9db2eea0ef6f415aac |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2019-05-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-e8c8e1384c2d4e9db2eea0ef6f415aac2025-01-15T03:02:51ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012019-05-0135253159589694Research on compatibility of high-performance network stackHuiyou JIANGJunfeng LIDan LIThe massive data processing in artificial intelligence system requires the support of high-throughput network.As a bridge between the upper artificial intelligence applications and the underlying high-speed hardware network adapter,the network stack plays a crucial role in the performance of the whole network system.Through detailed analysis and comparison of the compatibility of mainstream network stacks,it is found that the compatibility of various network stacks is generally low,which leads to difficulties in transplantation of artificial intelligence applications.The idea of achieving both high-compatibility and high-performance of user-level network stack were proposed.In this way,legacy applications could directly attain the improvement of performance without modification of the source code.Path for the subsequent development of network stack was lit up.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2019096/compatibilitynetwork stackhigh-performance |
| spellingShingle | Huiyou JIANG Junfeng LI Dan LI Research on compatibility of high-performance network stack Dianxin kexue compatibility network stack high-performance |
| title | Research on compatibility of high-performance network stack |
| title_full | Research on compatibility of high-performance network stack |
| title_fullStr | Research on compatibility of high-performance network stack |
| title_full_unstemmed | Research on compatibility of high-performance network stack |
| title_short | Research on compatibility of high-performance network stack |
| title_sort | research on compatibility of high performance network stack |
| topic | compatibility network stack high-performance |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2019096/ |
| work_keys_str_mv | AT huiyoujiang researchoncompatibilityofhighperformancenetworkstack AT junfengli researchoncompatibilityofhighperformancenetworkstack AT danli researchoncompatibilityofhighperformancenetworkstack |