Near-Memory Data Services

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2016Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:IEEE Micro, volume 36, pages 6-13 (issn: 0272-1732,

Copyright policy )

Authors: Babak Falsafi; Mircea Stan; Kevin Skadron; Nuwan Jayasena; Yunji Chen; Jinhua Tao; Ravi Nair; +4 Authors

doi: 10.1109/mm.2016.9

Near-Memory Data Services

- Summary
- Metrics

Abstract

This column introduces seven invited position papers about the challenges and opportunities in near-data processing. "Near-Memory Data Services" by Babak Falsafi, "Automata Processing: The Memory Is the Processor!" by Mircea Stan, Kevin Skadron, "Overcoming Challenges to Near-Data Processing" by Nuwan Jayasena, "Near-Data Processing of Neural Networks" by Yunji Chen, Jinhua Tao, "The Active Memory Cube" by Ravi Nair, Jaime Moreno, "In-Situ Computing Through an Analog Dot-Product Engine" by Naveen Muralimanohar, "Memory Processing Units" by Karthikeyan Sankaralingam, Cristian Estan.

Related Organizations

Chinese Academy of Sciences
China (People's Republic of)
University of Wisconsin–Oshkosh
United States
Advanced Micro Devices (Canada)
Canada
École Polytechnique Fédérale de Lausanne EPFL
Switzerland
University of Chinese Academy of Sciences
China (People's Republic of)

View all View all

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	9
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%