Abstract
It is a promising approach to include Non-Volatile Memory (NVM) and DRAM together as the main memory to provide huge memory space for large objects and guarantee short access latency for frequent writes and reads. To provide feasible and suitable memory allocation for all applications on a sever, our solution analyzes applications to derive the read-write ratio, memory footprint, and access pattern of each application. Heterogenous memory allocation scheme is then developed to reduce the makespan of batch jobs.
Original language | English |
---|---|
Title of host publication | 2023 9th International Conference on Applied System Innovation, ICASI 2023 |
Editors | Shoou-Jinn Chang, Sheng-Joue Young, Artde Donald Kin-Tak Lam, Liang-Wen Ji, Stephen D. Prior |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 166-168 |
Number of pages | 3 |
ISBN (Electronic) | 9798350398380 |
DOIs | |
State | Published - 2023 |
Event | 9th International Conference on Applied System Innovation, ICASI 2023 - Chiba, Japan Duration: 21 04 2023 → 25 04 2023 |
Publication series
Name | 2023 9th International Conference on Applied System Innovation, ICASI 2023 |
---|
Conference
Conference | 9th International Conference on Applied System Innovation, ICASI 2023 |
---|---|
Country/Territory | Japan |
City | Chiba |
Period | 21/04/23 → 25/04/23 |
Bibliographical note
Publisher Copyright:© 2023 IEEE.
Keywords
- batch jobs
- heterogeneous memory
- makespan
- non-volatile memory