Understanding object-level memory access patterns across the spectrum
Memory accesses limit the performance and scalability of countless applications. Many design and optimization efforts will benefit from an in-depth understanding of memory access behavior, which is not offered by extant access tracing and profiling methods. In this paper, we adopt a holistic memory...
Main Authors: | El-Sayed, Nosayba, Sanchez, Daniel |
---|---|
Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | English |
Published: |
Association for Computing Machinery (ACM)
2021
|
Online Access: | https://hdl.handle.net/1721.1/130463 |
Similar Items
-
A tool for visualization of memory access patterns
by: Chan, Eugene Yew Koon.
Published: (2013) -
Compress Objects, Not Cache Lines: An Object-Based Compressed Memory Hierarchy
by: Tsai, Po-An, et al.
Published: (2021) -
KPart: A Hybrid Cache Partitioning-Sharing Technique for Commodity Multicores
by: El-Sayed, Nosayba, et al.
Published: (2021) -
Self-Supervised Learning across the Spectrum
by: Shenoy, Jayanth, et al.
Published: (2024) -
Cognitive beamforming for secondary spectrum access
by: Cai, Shengming
Published: (2015)