About the CCL
We design software
that enables our collaborators
to easily harness large scale distributed systems
such as clusters, clouds, and grids. We perform fundamental computer science research
that enables new discoveries through computing in fields such as physics, chemistry, bioinformatics, biometrics, and data mining.
Seattle Pacific University we have used Work Queue in the CSC/CPE 4760
Advanced Computer Architecture course in Spring 2014 and Spring 2016.
Work Queue serves
as our primary example of a distributed system in our “Distributed and
Cloud Computing” unit for the course. Work Queue was chosen because it
is easy to deploy, and undergraduate students can quickly get started
working on projects that harness the power
of distributed resources."
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The main project in this unit had the
students obtain benchmark results for three systems: a high performance workstation; a cluster of 12 Raspberry Pi 2 boards, and a cluster of A1 instances in
Microsoft Azure. The task for each benchmark
used Dr. Peter Bui’s Work Queue MapReduce framework; the students
tested both a Word Count and Inverted Index on the Linux
kernel source. In testing the three systems the students were exposed to
the principles of distributed computing and the MapReduce model as they investigated tradeoffs in price, performance, and overhead.
- Prof. Aaron Dingler, Seattle Pacific University.