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In ACM SIGOPS Operating Systems Review (OSR) Volume 45 Issue 1, January 2011

Summary: In ACM SIGOPS Operating Systems Review (OSR)
Volume 45 Issue 1, January 2011
Challenges and Opportunities for
Efficient Computing with FAWN
Vijay Vasudevan, David G. Andersen, Michael Kaminsky, Jason Franklin
Michael A. Kozuch, Iulian Moraru, Padmanabhan Pillai, Lawrence Tan
Carnegie Mellon University, Intel Labs Pittsburgh
This paper presents the architecture and motivation for a cluster-
based, many-core computing architecture for energy-efficient, data-
intensive computing. FAWN, a Fast Array of Wimpy Nodes, con-
sists of a large number of slower but efficient nodes coupled with
low-power storage. We present the computing trends that motivate
a FAWN-like approach, for CPU, memory, and storage. We follow
with a set of microbenchmarks to explore under what workloads
these FAWN nodes perform well (or perform poorly), and briefly
examine scenarios in which both code and algorithms may need to
be re-designed or optimized to perform well on an efficient plat-
form. We conclude with an outline of the longer-term implications
of FAWN that lead us to select a tightly integrated stacked chip-


Source: Andersen, Dave - School of Computer Science, Carnegie Mellon University


Collections: Computer Technologies and Information Sciences