| Presentation | 2015-01-29 Performance Acceleration of Document-Oriented Stores Using GPUs Shin MORISHIMA, Hiroki MATSUTANI, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Document-oriented store is a database, in which users can store their documents in a schema-less manner and perform search queries for them. They have been widely used for web applications that process a large collection of documents because of their high scalability and rich functions. One of major functions of document-oriented databases is string search that requires a high computational power for a large collection of documents, because its computational complexity increases as the information increases. In a document-oriented database, secondly-index is typically used for improving the text search queries. However, the secondly-index cannot be always used for text search queries, such as partial match retrieval. To accelerate such queries by using GPUs, in this paper, we propose a GPU-friendly cache structure called DDB Cache (Document-oriented DataBase Cache) which is extracted from a document-oriented database. By using GPUs and DDB Cache, we can improve performance of text search queries without relying on the secondly-index. As experiments, we implemented DDB Cache for MongoDB and performed partial string match queries for a hundred million records (each contains a 16 character string) by using GPUs. The results show a significant performance improvement. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Structured storage / document-oriented database / GPUs |
| Paper # | VLD2014-113,CPSY2014-122,RECONF2014-46 |
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| Conference Information | |
| Committee | RECONF |
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| Conference Date | 2015/1/22(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Reconfigurable Systems (RECONF) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Performance Acceleration of Document-Oriented Stores Using GPUs |
| Sub Title (in English) | |
| Keyword(1) | Structured storage |
| Keyword(2) | document-oriented database |
| Keyword(3) | GPUs |
| 1st Author's Name | Shin MORISHIMA |
| 1st Author's Affiliation | Graduate School of Science and Technology, Keio University() |
| 2nd Author's Name | Hiroki MATSUTANI |
| 2nd Author's Affiliation | Graduate School of Science and Technology, Keio University:PRESTO, Japan Science and Technology Agency:National Institute of Informatics |
| Date | 2015-01-29 |
| Paper # | VLD2014-113,CPSY2014-122,RECONF2014-46 |
| Volume (vol) | vol.114 |
| Number (no) | 428 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |