Research for Practice: Cryptocurrencies, Blockchains, and Smart Contracts; Hardware for Deep Learning

被引：29

作者：

Bailis, Peter ^{[1
]}

Narayanan, Arvind ^{[2
,3
]}

Miller, Andrew ^{[4
,5
,6
]}

Han, Song ^{[7
]}

机构：

[1] Stanford Univ, Comp Sci, Stanford, CA 94305 USA

[2] Princeton, Comp Sci, Princeton, NJ USA

[3] Princeton Web Transparency & Accountabil Project, Princeton, NJ USA

[4] Univ Illinois, Elect & Comp Engn, Chicago, IL 60680 USA

[5] Cornell, Initiat Cryptocurrencies & Contracts IC3, Ithaca, NY USA

[6] Zcash Project, Ithaca, NY USA

[7] Stanford Univ, Stanford, CA 94305 USA

来源：

COMMUNICATIONS OF THE ACM | 2017年 / 60卷 / 05期

关键词：

Data flow analysis - Blockchain - Energy efficiency - Smart contract - Deep neural networks - Embedded systems - Flow graphs - Electronic money;

D O I：

10.1145/3024928

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

OUR FOURTH INSTALLMENT of Research for Practice covers two of the hottest topics in computer science research and practice: cryptocurrencies and deep learning. First, Arvind Narayanan and Andrew Miller, coauthors of the increasingly popular open access Bitcoin textbook, provide an overview of ongoing research in cryptocurrencies. This is a topic with a long history in the academic literature that has recently come to prominence with the rise of Bitcoin, blockchains, and similar implementations of advanced, decentralized protocols. These developments(_)and colorful exploits

引用

页码：48 / 51

页数：4