College Bulletin - Course Catalog 
  
    May 23, 2018  
College Bulletin - Course Catalog

CPSC 087. Parallel and Distributed Computing


This course covers a broad range of topics related to parallel and distributed computing, including parallel and distributed architectures and systems, parallel and distributed programming paradigms, parallel algorithms, and scientific and other applications of parallel and distributed computing. In lecture/discussion sections, students examine both classic results as well as recent research in the field. The lab portion of the course includes programming projects using different programming paradigms, and students will have the opportunity to examine one course topic in depth through an open-ended project of their own choosing. Course topics may include: multi-core, SMP, MPP, client-server, clusters, clouds, grids, peer-to-peer systems, GPU computing, scheduling, scalability, resource discovery and allocation, fault tolerance, security, parallel I/0, sockets, threads, message passing, MPI, RPC, distributed shared memory, data parallel languages, MapReduce, parallel debugging, and parallel and distributed applications.
Prerequisite: CPSC 031  and CPSC 035  Recommended: CPSC 045  
Natural science and engineering.
Writing course. Group 2 course.
Lab work required.
1 credit.
Spring 2018. Newhall.
Catalog chapter: Computer Science  
Department website: https://www.swarthmore.edu/computer-science


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