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2019 | OriginalPaper | Buchkapitel

9. Bitcoin Mining Using Maxeler DataFlow Computers

verfasst von : Rok Meden, Anton Kos

Erschienen in: Exploring the DataFlow Supercomputing Paradigm

Verlag: Springer International Publishing

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Abstract

Bitcoin, which is known as the world’s first decentralized peer-to-peer payment network and cryptocurrency, introduced a decentralized mining process, where miners compete in confirming transactions in order to earn a certain amount of digital coins (bitcoins). Bitcoin mining is a repetitive and highly parallelizable process, and thus suitable for parallel computing. In this chapter, we present Maxeler dataflow paradigm as a form of parallel computing to process big data with low energy consumption and explain our dataflow implementation of the bitcoin mining algorithm for Maxeler MAX2B and MAX5C dataflow computers. With our dataflow design, we achieved up to 102 times faster and up to 256 times more energy-efficient bitcoin mining compared to standard multicore CPUs (Central Processing Units). While Maxeler dataflow computers are not able to compete against ASIC (Application-Specific Integrated Circuit) bitcoin mining rigs in terms of hash rate and energy efficiency, they are flexible and can be reprogrammed to do other tasks, while ASIC mining rigs are fixed (running only one specific algorithm) and usually become outdated in a few months.

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Titel: Bitcoin Mining Using Maxeler DataFlow Computers
verfasst von: Rok Meden
Anton Kos
Verlag: Springer International Publishing
Buch: Exploring the DataFlow Supercomputing Paradigm
Print ISBN: 978-3-030-13802-8

Electronic ISBN: 978-3-030-13803-5

Copyright-Jahr: 2019
DOI: https://doi.org/10.1007/978-3-030-13803-5_9

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