Accelerating in-memory transaction processing using general purpose graphics processing units-Reference-Cited by-同舟云学术

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Accelerating in-memory transaction processing using general purpose graphics processing units

Published:2019-08 Issue: Volume:97 Page:836-848
ISSN:0167-739X
Container-title:Future Generation Computer Systems
language:en
Short-container-title:Future Generation Computer Systems

Author:

Gao Lan^ORCID,Xu Yunlong,Wang Rui,Yang Hailong,Luan Zhongzhi,Qian Depei

Funder

National Key R&D Program of China under

NSFC

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference31 articles.

1. GPU-accelerated database systems: Survey and open challenges;Breß,2014

2. Mega-kv: A case for gpus to maximize the throughput of in-memory key-value stores;Zhang,2015

3. Advanced Concurrency Control Algorithm Design and GPU System Support for High Performance In-Memory Data Management;Yuan,2016

4. Lock-based synchronization for GPU architectures;Xu,2016

5. Cache conscious indexing for decision-support in main memory;Rao,1999

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