Paper Info
Title
A survey on applications and architectural-optimizations of Micron's Automata Processor.
Abstract
Problems from a wide variety of application domains can be modeled as “nondeterministic finite automaton” (NFA) and hence, efficient execution of NFAs can improve the performance of several key applications. However, traditional architectures, such as CPU and GPU are not inherently suited for executing NFAs, and hence, special-purpose architectures are required for accelerating them. Micron’s automata processor (AP) exploits massively parallel in-memory processing capability of DRAM for executing NFAs and hence, it can provide orders of magnitude performance improvement compared to traditional architectures. In this paper, we present a survey of techniques that propose architectural optimizations to AP and use it for accelerating problems from various application domains. This paper will be useful not only for computer architects and processor-designers, but also for researchers in the field of bioinformatics, data-mining, machine learning and others.
Year
DOI
Venue
2019
10.1016/j.sysarc.2019.07.006
Journal of Systems Architecture
Keywords
Field
DocType
Micron,Processing-in-memory,Data-mining,Big data,DRAM,Non-deterministic finite automata,Pattern-matching
Dram,Nondeterministic finite automaton,Massively parallel,Computer science,Parallel computing,Automaton,Exploit,Performance improvement
Journal
Volume
ISSN
Citations 
98
1383-7621
3
PageRank 
References 
Authors
0.40
0
1
Name
Order
Citations
PageRank
Sparsh Mittal181750.36