As a power-efficient alternative for data-intensive computing, we propose a cluster architecture called a Fast Array of Wimpy Nodes, or FAWN. A FAWN consists of a large number of slower but efficient nodes that each draw only a few watts of power, coupled with low-power storage—our prototype FAWN nodes are built from 500MHz embedded devices with CompactFlash storage that are typically used as wireless routers, Internet gateways, or thin clients. Through our preliminary evaluation, we demonstrate that a FAWN can be up to six times more efficient than traditional systems with Flash storage in terms of queries per joule for seek-bound applications and between two to eight times more efficient for I/O throughput-bound application
open6siThe steeply growing performance demands for highly power- and energy-constrained processing s...
Abstract: Traditional DBMS servers are often over-provisioned for most of their daily workloads and,...
Abstract—Although users of high-performance computing are most interested in raw performance, both e...
This paper introduces the FAWN—Fast Array of Wimpy Nodes—cluster architecture for providing fast, sc...
This paper introduces the FAWN—Fast Array of Wimpy Nodes—cluster architecture for providing fast, sc...
Sparse graph problems are notoriously hard to accelerate on conventional platforms due to irregular ...
Energy consumption is a major and costly problem in data centers. A large fraction of this energy go...
Energy consumption is a major and costly problem in data centers. A large fraction of this energy go...
We present Nswap2L, a fast backing storage system for general purpose clusters. Nswap2L implements a...
The exponential data growth is presenting challenges to traditional storage systems. Component-based...
Enterprise and scientific data sets double every year, forcing similar growths in storage size and p...
This paper presents a comprehensive evaluation of an ultra-low power cluster, built upon the Intel E...
Traditional DBMS servers are usually over-provisioned for most of their daily workloads and, because...
(c) 2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for...
International audienceThis paper conducts a survey of several small clusters of machines in search o...
open6siThe steeply growing performance demands for highly power- and energy-constrained processing s...
Abstract: Traditional DBMS servers are often over-provisioned for most of their daily workloads and,...
Abstract—Although users of high-performance computing are most interested in raw performance, both e...
This paper introduces the FAWN—Fast Array of Wimpy Nodes—cluster architecture for providing fast, sc...
This paper introduces the FAWN—Fast Array of Wimpy Nodes—cluster architecture for providing fast, sc...
Sparse graph problems are notoriously hard to accelerate on conventional platforms due to irregular ...
Energy consumption is a major and costly problem in data centers. A large fraction of this energy go...
Energy consumption is a major and costly problem in data centers. A large fraction of this energy go...
We present Nswap2L, a fast backing storage system for general purpose clusters. Nswap2L implements a...
The exponential data growth is presenting challenges to traditional storage systems. Component-based...
Enterprise and scientific data sets double every year, forcing similar growths in storage size and p...
This paper presents a comprehensive evaluation of an ultra-low power cluster, built upon the Intel E...
Traditional DBMS servers are usually over-provisioned for most of their daily workloads and, because...
(c) 2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for...
International audienceThis paper conducts a survey of several small clusters of machines in search o...
open6siThe steeply growing performance demands for highly power- and energy-constrained processing s...
Abstract: Traditional DBMS servers are often over-provisioned for most of their daily workloads and,...
Abstract—Although users of high-performance computing are most interested in raw performance, both e...