Pervasive parallel and distributed computing in a liberal arts college curriculum
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[1] R. K. Shyamasundar,et al. Introduction to algorithms , 1996 .
[2] Jie Wu,et al. NSF/IEEE-TCPP curriculum initiative on parallel and distributed computing: core topics for undergraduates , 2011, SIGCSE '11.
[4] Ewing L. Lusk,et al. Programming with MPI on clusters , 2001, Proceedings 42nd IEEE Symposium on Foundations of Computer Science.
[5] Norman E. Gibbs,et al. A model curriculum for a liberal arts degree in computer science , 1986, CACM.
[6] L. Dagum,et al. OpenMP: an industry standard API for shared-memory programming , 1998 .
[7] Marcelo Arroyo. Teaching Parallel and Distributed Computing to Undergraduate Computer Science Students , 2013, 2013 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum.
[8] David J. John,et al. Parallel and Distributed Computing across the Computer Science Curriculum , 2014, 2014 IEEE International Parallel & Distributed Processing Symposium Workshops.
[9] Éva Tardos,et al. Algorithm design , 2005 .
[10] Charles Kelemen,et al. A 2007 Model Curriculum For A Liberal Arts Degree In Computer Science , 2007 .
[11] Samuel P. Midkiff,et al. Introducing Parallel Programming in Undergraduate Curriculum , 2013, 2013 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum.
[12] Richard A. Brown,et al. Patterns and Exemplars: Compelling Strategies for Teaching Parallel and Distributed Computing to CS Undergraduates , 2013, 2013 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum.
[13] Sanjay Ghemawat,et al. MapReduce: Simplified Data Processing on Large Clusters , 2004, OSDI.
[14] Andrew Danner,et al. Integrating Parallel and Distributed Computing Topics into an Undergraduate CS Curriculum , 2013, 2013 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum.