Url | http://hpcuniversity.org/trainingMaterials/49/ |
Creator | Andrew Dolgert, Steve Lantz |
Contributor | Cornell University |
Publisher | Cornell University |
Description | While Python is a scripting language, it has plenty of facilities for high performance computing. This article covers some of its features and libraries that are particularly helpful when moving scientific code to a large cluster resource. It also includes specific recipes for compilation and execution on the TACC clusters. |
Format | HTML |
Language | English |
Subject | Computer Science, Information Technology |
Keyword | Cornell Virtual Workshop |
Audience | Educator, Learner/Student, Student |
Education Level | Higher Education, Graduate/Professional, Undergraduate (Lower Division), Undergraduate (Upper Division) |
HPCU Subject | None listed |
HPCU Subject 2 | Software, Programming, Computer Systems Organization, Software Development Stages, Lifecycle, Concurrent, Parallel, or Distributed Programming |
Type | Tutorial, Instructional Material, Lecture/Presentation, Lesson/Lesson Plan, Course, Curriculum |
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