We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Evaluating High-Performance Computing on Google App Engine.
- Authors
Prodan, Radu; Sperk, Michael; Ostermann, Simon
- Abstract
An experimental approach employs the Google App Engine (GAE) for high-performance parallel computing. A generic master-slave framework enables fast prototyping and integration of parallel algorithms that are transparently scheduled and executed on the Google cloud infrastructure. Compared to Amazon Elastic Compute Cloud (EC2), GAE offers lower resource-provisioning overhead and is cheaper for jobs shorter than one hour. Experiments demonstrated good scalability of a Monte Carlo simulation algorithm. Although this approach produced important speedup, two main obstacles limited its performance: middleware overhead and resource quotas.
- Subjects
HIGH performance computing; GOOGLE Workspace; PARALLEL computers; RAPID prototyping; PARALLEL algorithms; CLOUD computing; MONTE Carlo method; MIDDLEWARE
- Publication
IEEE Software, 2012, Vol 29, Issue 2, p52
- ISSN
0740-7459
- Publication type
Article
- DOI
10.1109/MS.2011.131