Base-delta-immediate compression: Practical data compression for on-chip caches
By Gennady Pekhimenko, Vivek Seshadri, Onur Mutlu, Phillip B. Gibbons, Michael A. Kozuch, Todd C. Mowry. International Conference on Parallel Architectures and Compilation Techniques, 2012
402 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture
View Paper: https://www.semanticscholar.org/paper/309ad0357af7722a24192781340881390055a3db
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Mike O'Connor
- Yuan Xie
- Mattan Erez
- Tushar Krishna
- Zhang Tao
- S. Keckler
- Michael B. Sullivan
- Dibakar Gope
In Computer Networks and Communications
- Yuan Xie
- David A. Wood
- Naveen Muralimanohar
- Rajeev Balasubramonian
- Mike O'Connor
- Tushar Krishna
- Zhang Tao
- S. Keckler
In Hardware and Architecture
- Yuan Xie
- Rajeev Balasubramonian
- David A. Wood
- Tushar Krishna
- Naveen Muralimanohar
- Mike O'Connor
- Cong Xu
- S. Keckler
Citations in the corpus
- The gem5 Simulator: Version 20.0+ (2020, methodology): “Currently, only BDI [56], C-Pack [24], and FPCD [6] are implemented, but the modularity of the compressors allows for simple implementation of other dictionary-based and pattern-based compression algorithms.”
- Buddy Compression: Enabling Larger Memory for Deep Learning and HPC Workloads on GPUs (2019, methodology): “Several algorithms have been explored in past work [30, 31, 32, 33, 34].”
- Overcoming the challenges of crossbar resistive memory architectures (2015, methodology): “For example, if n=8 and B=4, we can simply choose ∆ = 3 instead of exploring different delta values (1,2,3) that target minimum compression ratio [31].”