Co-ops: concurrent algorithmic skeletons for Erlang

Authors:
Jay Nelson
Affiliations:
DuoMark International, Inc., Los Angeles, CA, USA
Venue:
Proceedings of the eleventh ACM SIGPLAN workshop on Erlang workshop
Year:
2012

Citing 3
Cited 0

Algorithmic skeletons: structured management of parallel computation

Algorithmic skeletons: structured management of parallel computation
Bringing skeletons out of the closet: a pragmatic manifesto for skeletal parallel programming

Parallel Computing
A survey of algorithmic skeleton frameworks: high-level structured parallel programming enablers

Software—Practice & Experience - Focus on Selected PhD Literature Reviews in the Practical Aspects of Software Technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

Erlang offers a programmer 3-4 orders of magnitude more processes than conventional languages. This difference in approach to concurrency leads to architectures and attitudes embracing processes as key elements of a software system, providing fault isolation, distributed algorithms, and code modularity. Coming hardware improvements promise 3-4 orders of magnitude more CPUs than conventional hardware. How will this additional power be used by Erlang programmers and how might it impact Erlang system architecture? This poster introduces a new library of cooperating processes or "co-ops" which implement an algorithmic skeleton as a directed acyclic graph (DAG) spanning a large number of processes, trading program code for dataflow scaffolding to gain a more principled architecture and explicitly defined concurrent data pathways.