{"title":"A Three-Semester, Interdisciplinary Approach to Parallel Programming in a Liberal Arts University Setting","authors":"Mike Morris, Karl Frinkle","doi":"10.1145/2616498.2616567","DOIUrl":null,"url":null,"abstract":"We describe a successful addition of high performance computing (HPC) into a traditional computer science curriculum at a liberal arts university. The approach incorporated a three-semester sequence of courses emphasizing parallel programming techniques, with the final course focusing on a research-level mathematical project that was executed on a TOP500 supercomputer. A group of students with varied programming backgrounds participated in the program. Emphasis was placed on utilizing the Open MPI and CUDA libraries along with parallel algorithm and file I/O analysis.","PeriodicalId":93364,"journal":{"name":"Proceedings of XSEDE16 : Diversity, Big Data, and Science at Scale : July 17-21, 2016, Intercontinental Miami Hotel, Miami, Florida, USA. Conference on Extreme Science and Engineering Discovery Environment (5th : 2016 : Miami, Fla.)","volume":"30 1","pages":"66:1-66:7"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of XSEDE16 : Diversity, Big Data, and Science at Scale : July 17-21, 2016, Intercontinental Miami Hotel, Miami, Florida, USA. Conference on Extreme Science and Engineering Discovery Environment (5th : 2016 : Miami, Fla.)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2616498.2616567","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
We describe a successful addition of high performance computing (HPC) into a traditional computer science curriculum at a liberal arts university. The approach incorporated a three-semester sequence of courses emphasizing parallel programming techniques, with the final course focusing on a research-level mathematical project that was executed on a TOP500 supercomputer. A group of students with varied programming backgrounds participated in the program. Emphasis was placed on utilizing the Open MPI and CUDA libraries along with parallel algorithm and file I/O analysis.