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2019 | OriginalPaper | Chapter

A Near-Data Processing Server Architecture and Its Impact on Data Center Applications

Authors : Xiaojia Song, Tao Xie, Stephen Fischer

Published in: High Performance Computing

Publisher: Springer International Publishing

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Abstract

Existing near-data processing (NDP) techniques have demonstrated their strength for some specific data-intensive applications. However, they might be inadequate for a data center server, which normally needs to perform a diverse range of applications from data-intensive to compute-intensive. How to develop a versatile NDP-powered server to support various data center applications remains an open question. Further, a good understanding of the impact of NDP on data center applications is still missing. For example, can a compute-intensive application also benefit from NDP? Which type of NDP engine is a better choice, an FPGA-based engine or an ARM-based engine? To address these issues, we first propose a new NDP server architecture that tightly couples each SSD with a dedicated NDP engine to fully exploit the data transfer bandwidth of an SSD array. Based on the architecture, two NDP servers ANS (ARM-based NDP Server) and FNS (FPGA-based NDP Server) are introduced. Next, we implement a single-engine prototype for each of them. Finally, we measure performance, energy efficiency, and cost/performance ratio of six typical data center applications running on the two prototypes. Some new findings have been observed.

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Metadata
Title
A Near-Data Processing Server Architecture and Its Impact on Data Center Applications
Authors
Xiaojia Song
Tao Xie
Stephen Fischer
Copyright Year
2019
Book
High Performance Computing

Print ISBN: 978-3-030-20655-0

Electronic ISBN: 978-3-030-20656-7

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-20656-7_5

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