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Memory Allocation on NUMA Systems with Persistent Memory

Grant number: 24/13771-0
Support Opportunities:Scholarships in Brazil - Scientific Initiation
Effective date (Start): September 01, 2024
Effective date (End): April 30, 2025
Field of knowledge:Physical Sciences and Mathematics - Computer Science - Computer Systems
Principal Investigator:Alexandro José Baldassin
Grantee:Otávio Scarparo Souza
Host Institution: Instituto de Geociências e Ciências Exatas (IGCE). Universidade Estadual Paulista (UNESP). Campus de Rio Claro. Rio Claro , SP, Brazil
Associated research grant:18/15519-5 - Performance optimizations for multicore architectures, AP.JP2

Abstract

In this study we aim to investigate how current memory allocators for PM perform in a NUMA environment. In a previous study, we identified that indeed some types of allocators did not perform well in a NUMA environment. Therefore, in this work we seek to identify the main causes and provide solutions to mitigate the effects of NUMA.

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