Title
NVSim-CAM: a circuit-level simulator for emerging nonvolatile memory based content-addressable memory.
Abstract
Ternary Content-Addressable Memory (TCAM) is widely used in networking routers, fully associative caches, search engines, etc. While the conventional SRAM-based TCAM suffers from the poor scalability, the emerging nonvolatile memories (NVM, i.e., MRAM, PCM, and ReRAM) bring evolution for the TCAM design. It effectively reduces the cell size, and makes significant energy reduction and scalability improvement. New applications such as associative processors/accelerators are facilitated by the emergence of the nonvolatile TCAM (nvTCAM). However, nvTCAM design is challenging. In addition to the emerging device's uncertainty, the nvTCAM cell structure is so diverse that it results in a design space too large to explore manually. To tackle these challenges, we propose a circuit-level model and develop a simulation tool, NVSim-CAM, which helps researchers to make early design decisions, and to evaluate device/circuit innovations. The tool is validated by HSPICE simulations and data from fabricated chips. We also present a case study to illustrate how NVSim-CAM benefits the nvTCAM design. In the case study, we propose a novel 3D vertical ReRAM based TCAM cell, the 3DvTCAM. We project the advantages/disadvantages and explore the design space for the proposed cell with NVSim-CAM.
Year
DOI
Venue
2016
10.1145/2966986.2967059
ICCAD
Keywords
Field
DocType
circuit-level simulator,content-addressable memory,nonvolatile memories,TCAM design,cell size reduction,energy reduction,scalability improvement,nonvolatile TCAM,nvTCAM cell structure,NVSim-CAM simulation tool,design decision making,3D vertical ReRAM based TCAM cell,3DvTCAM
Design space,Search engine,Content-addressable memory,Computer science,Electronic engineering,Static random-access memory,Magnetoresistive random-access memory,Non-volatile memory,Resistive random-access memory,Embedded system,Scalability
Conference
ISSN
ISBN
Citations 
1933-7760
978-1-5090-3421-5
5
PageRank 
References 
Authors
0.48
21
5
Name
Order
Citations
PageRank
Shuangchen Li163636.82
Liu Liu2203.76
Peng Gu314211.30
Cong Xu4115448.25
Yuan Xie56430407.00