Sage
Abstract
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 (DRAM). NVRAM systems could therefore potentially allow very large graph problems to be solved on a single machine, at a modest cost. However, a significant challenge in achieving high performance is in accounting for the fact that NVRAM writes can be much more expensive than NVRAM reads.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- May 01, 2020
- Source ID
- 10.14778/3397230.3397251
Entities
People
- Charles Mcguffey
- Guy E. Blelloch
- Hongbo Kang
- Julian Shun
- Laxman Dhulipala
- Phillip B. Gibbons
- Yan Gu
Organizations
- Carnegie Mellon University
- Massachusetts Institute of Technology
- Tsinghua University
- University of California, Riverside