Approximate storage in solid-state memories

By Adrian Sampson, Jacob Nelson, Karin Strauss, Luis Ceze. Micro, 2013

298 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Hardware and Architecture

View Paper: https://www.semanticscholar.org/paper/52137476895005f26098678a9af934f93071b416

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Luis Ceze
2. Sparsh Mittal

In Electrical and Electronic Engineering

1. Sparsh Mittal
2. Karin Strauss
3. Luis Ceze
4. Georg Seelig

In Hardware and Architecture

1. Sparsh Mittal
2. Karin Strauss
3. Luis Ceze

Citations in the corpus

• A DNA-Based Archival Storage System (2016, background): “Recent work in approximate storage [12, 23] shows that many applications do not need high-precision storage for every data structure.”
• A Survey of Techniques for Approximate Computing (2016, background): “Similarly, since the lower-order bits have smaller significance than the higher-order bits, approximating them may have only a minor impact on QoR [Cho et al. 2014; Ganapathy et al. 2015; Ranjan et al. 2015; Sampson et al. 2013; Tian et al. 2015; Rahimi et al. 2015; Gupta et al. 2011].”