Metall: A persistent memory allocator for data-centric analytics-Reference-Cited by-同舟云学术

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Metall: A persistent memory allocator for data-centric analytics

Published:2022-07 Issue: Volume:111 Page:102905
ISSN:0167-8191
Container-title:Parallel Computing
language:en
Short-container-title:Parallel Computing

Author:

Iwabuchi Keita^ORCID,Youssef Karim^ORCID,Velusamy Kaushik,Gokhale Maya,Pearce Roger

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Graphics and Computer-Aided Design,Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software

Reference44 articles.

1. Exascale computing project,2021

2. Exascale computing and big data;Reed;Commun. ACM,2015

3. Boost c++ libraries,2021

4. SuperMalloc: A super fast multithreaded malloc for 64-bit machines;Kuszmaul,2015

5. Graphblas template library (GBTL), v. 3.0,2021

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1. LSH SimilarityJoin Pattern in FastFlow;International Journal of Parallel Programming;2024-05-23

2. Towards A Massive-scale Distributed Neighborhood Graph Construction;Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis;2023-11-12

3. Big Data Oriented Graph Division and Storage;2023 IEEE 8th International Conference on Big Data Analytics (ICBDA);2023-03-03

4. Optimizing Performance and Storage of Memory-Mapped Persistent Data Structures;2022 IEEE High Performance Extreme Computing Conference (HPEC);2022-09-19

5. Evaluating persistent memory range indexes;Proceedings of the VLDB Endowment;2022-07

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