Sage: parallel semi-asymmetric graph algorithms for NVRAMs
© 2020, VLDB Endowment. Non-volatile main memory (NVRAM) technologies provide an attractive set of features for large-scale graph analytics, including byte-addressability, low idle power, and improved memory-density. NVRAM systems today have an order of magnitude more NVRAM than traditional memory (...
Main Authors: | Dhulipala, Laxman, McGuffey, Charles, Kang, Hongbo, Gu, Yan, Blelloch, Guy E, Gibbons, Phillip B, Shun, Julian |
---|---|
Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | English |
Published: |
VLDB Endowment
2021
|
Online Access: | https://hdl.handle.net/1721.1/136483 |
Similar Items
-
The Parallel Persistent Memory Model
by: Blelloch, Guy E, et al.
Published: (2021) -
Theoretically Efficient Parallel Graph Algorithms Can Be Fast and Scalable
by: Dhulipala, Laxman, et al.
Published: (2022) -
Theoretically Efficient Parallel Graph Algorithms Can Be Fast and Scalable
by: Dhulipala, Laxman, et al.
Published: (2021) -
Low-latency graph streaming using compressed purely-functional trees
by: Dhulipala, Laxman, et al.
Published: (2021) -
Implicit Decomposition for Write-Efficient Connectivity Algorithms
by: Ben-David, Naama, et al.
Published: (2021)