Tutorial: Building Scalable Data Intensive Applications on the Cloud with Makeflow and Work Queue
In conjunction with the Science Cloud Summer School at Indiana University, August 1st, 2012.
This short course will provide a brief introduction to writing scalable applications using Makeflow and Work Queue, developed by the Cooperative Computing Lab at the University of Notre Dame. The course modules consist of a lecture that gives an overview of the software and applications, a tutorial in how to install and use the tools on FutureGrid, and a homework assignment of more challenging tasks to be completed during the week.
Tutorial Materials
Lecture Slides: Building Scalable Data Intensive Applications with Makeflow and Work Queue
Tutorial and Homework: Using Makeflow and Work Queue on FutureGrid
Software Resources
Software Download
Makeflow Web Page
Work Queue Web Page
Getting Help
Additional Reading
(Showing papers with tag css2012. See all papers instead.)
|
Christopher Moretti, Andrew Thrasher, Li Yu, Michael Olson, Scott Emrich, and Douglas Thain, A Framework for Scalable Genome Assembly on Clusters, Clouds, and Grids, IEEE Transactions on Parallel and Distributed Systems, 23(12), December, 2012. DOI: 10.1109/TPDS.2012.80
|
|
Badi Abdul-Wahid, Li Yu, Dinesh Rajan, Haoyun Feng, Eric Darve, Douglas Thain, Jesus A. Izaguirre, Folding Proteins at 500 ns/hour with Work Queue, 8th IEEE International Conference on eScience (eScience 2012), October, 2012. DOI: 10.1109/eScience.2012.6404429
|
|
Peter Bui, Dinesh Rajan, Badi Abdul-Wahid, Jesus Izaguirre, Douglas Thain, Work Queue + Python: A Framework For Scalable Scientific Ensemble Applications, Workshop on Python for High Performance and Scientific Computing (PyHPC) at the ACM/IEEE International Conference for High Performance Computing, Networking, Storage, and Analysis (Supercomputing) , November, 2011.
|
|
Andrew Thrasher, Rory Carmichael, Peter Bui, Li Yu, Douglas Thain, and Scott Emrich, Taming Complex Bioinformatics Workflows with Weaver, Makeflow, and Starch, Workshop on Workflows in Support of Large Scale Science, pages 1-6, November, 2010. DOI: 10.1109/WORKS.2010.5671858
|
|