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FAWN: a fast array of wimpy nodes
TLDR
The key contributions of this paper are the principles of the FAWN architecture and the design and implementation of FAWN-KV--a consistent, replicated, highly available, and high-performance key-value storage system built on a FAWN prototype.
FAWNdamentally Power-efficient Clusters
TLDR
Long-lasting, fundamental trends in the scaling of computation and energy suggest that the FAWN approach will become dominant for increasing classes of workloads, and this work proposes a cluster architecture called a Fast Array of Wimpy Nodes, or FAWN, for data-intensive computing.
Energy-efficient cluster computing with FAWN: workloads and implications
TLDR
The architecture and motivation for a cluster-based, many-core computing architecture for energy-efficient, data-intensive computing, and the longer-term implications of FAWN lead us to select a tightly integrated stacked chip-and-memory architecture for future FAWN development are presented.
A Fast Array of Wimpy Nodes
This paper introduces the FAWN—Fast Array of Wimpy Nodes—cluster architecture for providing fast, scalable, and power-efficient key-value storage. A FAWN links together a large number of tiny nodes
Challenges and opportunities for efficient computing with FAWN
TLDR
The architecture and motivation for a clusterbased, many-core computing architecture for energy-efficient, dataintensive computing, and the longer-term implications of FAWN lead us to select a tightly integrated stacked chip and-memory architecture for future FAWN development are presented.
FAWN: a fast array of wimpy nodes
TLDR
The design centers around purely log-structured datastores that provide the basis for high performance on flash storage, as well as for replication and consistency obtained using chain replication on a consistent hashing ring.
FAWN
This paper presents a fast array of wimpy nodes---FAWN---an approach for achieving low-power data-intensive data-center computing. FAWN couples low-power processors to small amounts of local flash
FAWNSort : Energy-efficient Sorting of 10 GB
In this document, we describe our submission for the 2010 10GB JouleSort competition. Our system consists of a machine with a low-power server processor and five flash drives, sorting the 10GB
FAWN: A Fast Array of Wimpy Nodes (CMU-PDL-08-108)
This paper introduces the FAWN—Fast Array of Wimpy Nodes—cluster architecture for providing fast, scalable, and power-efficient key-value storage. A FAWN links together a large number of tiny nodes
A Low-Power Hybrid CPU-GPU Sort
TLDR
A balanced architecture with sufficient I/O to saturate available compute capacity is significantly more energy efficient compared to traditional machines and the CPU-GPU hybrid sort is marginally more efficient than a CPU-only sort.