Work

Linearly compressed pages

Year: 2013

Type: conference-paper

Source: IEEE/ACM International Symposium on Microarchitecture (MICRO)

DOI: 10.1145/2540708.2540724

Authors: Gennady Pekhimenko, Vivek Seshadri, Yoongu Kim, Hongyi Xin, Onur Mutlu, Phillip B. Gibbons, Michael A. Kozuch, Todd C. Mowry

Institutions: Carnegie Mellon University, Intel (United States)

Language: English

Topic: Algorithms and Data Compression

Subfield: Theoretical Computer Science

Field: Mathematics

Domain: Physical Sciences

Open Access status: closed

Funders: Semiconductor Research Corporation, Intel Corporation, Microsoft Research, Division of Computing and Communication Foundations

Award: G112606877

OpenAlex ID: W2052201685

FWCI: 9.783

Cites: 37

Cited by: 141

Related to: 10