期刊
PROCEEDINGS OF THE IEEE
卷 103, 期 8, 页码 1311-1330出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JPROC.2015.2434888
关键词
Associative memory (AM); binary CAM; computing with memory; content-addressable memory (CAM); nano-CAM; ternary CAM; transactional memory (TM)
资金
- National Science Foundation (NSF) [CNS-1054744, 1441757, 1002237]
- Semiconductor Research Corporation (SRC) [2014-EP-2575, 2013-HJ-2442]
- Division Of Computer and Network Systems
- Direct For Computer & Info Scie & Enginr [1441757] Funding Source: National Science Foundation
- Div Of Electrical, Commun & Cyber Sys
- Directorate For Engineering [1002237] Funding Source: National Science Foundation
Content-addressable memory (CAM) and associative memory (AM) are types of storage structures that allow searching by content as opposed to searching by address. Such memory structures are used in diverse applications ranging from branch prediction in a processor to complex pattern recognition. In this paper, we review the emerging challenges and opportunities in implementing different varieties of CAM/AM structures. Beyond-CMOS silicon and nonsilicon memory technologies hold significant promise in implementing dense, fast, and energy-efficient CAM/AM structures. We describe circuit/architecture level implementations of CAM/AM using these technologies, as well as novel applications in different domains, including informatics, text analytics, data mining, and reconfigurable computing platforms.
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