Near-Data Processing: Insights from a MICRO-46 Workshop
Venue
IEEE Micro (Special Issue on Big Data), vol. 34 (2014), pp. 36-43
Publication Year
2014
Authors
Rajeev Balasubramonian, Jichuan Chang, Troy Manning, Jaime H. Moreno, Richard Murphy, Ravi Nair, Steven Swanson
BibTeX
Abstract
The cost of data movement in big-data systems motivates careful examination of
near-data processing (NDP) frameworks. The concept of NDP was actively researched
in the 1990s, but gained little commercial traction. After a decade-long dormancy,
interest in this topic has spiked. A workshop on NDP was organized at MICRO-46 and
was well attended. Given the interest, the organizers and keynote speakers have
attempted to capture the key insights from the workshop into an article that can be
widely disseminated. This article describes the many reasons why NDP is compelling
today and identifies key upcoming challenges in realizing the potential of NDP.
