KiWi-Reference-Cited by-同舟云学术

KiWi

Published:2020-08-05 Issue:3 Volume:7 Page:1-28
ISSN:2329-4949
Container-title:ACM Transactions on Parallel Computing
language:en
Short-container-title:ACM Trans. Parallel Comput.

Author:

Basin Dmitry¹,Bortnikov Edward¹,Braginsky Anastasia¹,Golan-Gueta Guy²,Hillel Eshcar¹,Keidar Idit³,Sulamy Moshe⁴

Affiliation:

1. Yahoo Research, Haifa, Israel

2. VMWare Research Group, Tel Aviv, Herzliya, Israel

3. Technion and Yahoo Research, Haifa, Israel

4. Tel Aviv University, Tel Aviv, Israel

Abstract

We present KiWi, the first atomic KV-map to efficiently support simultaneous large scans and real-time access. The key to achieving this is treating scans as first class citizens and organizing the data structure around them. KiWi provides wait-free scans, whereas its put operations are lightweight and lock-free. It optimizes memory management jointly with data structure access. We implement KiWi and compare it to state-of-the-art solutions. Compared to other KV-maps providing atomic scans, KiWi performs either long scans or concurrent puts an order of magnitude faster. Its scans are twice as fast as non-atomic ones implemented via iterators in the Java skiplist.

Publisher

Association for Computing Machinery (ACM)

Subject

Computational Theory and Mathematics,Computer Science Applications,Hardware and Architecture,Modelling and Simulation,Software

Link

https://dl.acm.org/doi/pdf/10.1145/3399718

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