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.