Title :
StarHPC — Teaching parallel programming within elastic compute cloud
Author :
Ivica, Ceraj ; Riley, Justin T. ; Shubert, Charles
Author_Institution :
Massachusetts Inst. of Technol., Cambridge, MA, USA
Abstract :
The advancement of computer technology and the increasing complexity of research problems are creating the need to teach parallel programming in higher education more effectively. In this paper we present StarHPC, a system solution that supports teaching parallel programming in courses at the Massachusetts Institute of Techology. StarHPC prepackages a virtual machine image used by students, the scripts used by an administrator, and a virtual image of the Amazon Elastic Computing Cloud (EC2) machine used to build the cluster shared by the class. This architecture coupled with the no-cost availability of StarHPC allows it to be deployed at other institutions interested in teaching parallel programming with a dedicated compute cluster without incurring large upfront or ongoing costs.
Keywords :
computer science education; educational courses; further education; parallel programming; teaching; virtual machines; computer technology; educational course; elastic compute cloud; higher education; starHPC; teaching parallel programming; virtual machine image; Cloud computing; Computer architecture; Computer science education; Concurrent computing; Costs; Educational programs; Educational technology; Parallel programming; Software packages; Virtual machining; Amazon EC2; Eclipse parallel tools; HPC; MPI; STAR project; StarHPC; Sun Studio; Teaching; parallel programming;
Conference_Titel :
Information Technology Interfaces, 2009. ITI '09. Proceedings of the ITI 2009 31st International Conference on
Conference_Location :
Dubrovnik
Print_ISBN :
978-953-7138-15-8
DOI :
10.1109/ITI.2009.5196108