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Detailed Course Information


Fall 2009
Apr 17, 2024
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CS 51501 - Parallelism In Numerical Linear Algebra
Credit Hours: 3.00. This course examines both theoretical and practical aspects of numerical algorithm design and implementation on parallel computing platforms. In particular, it provides an understanding of the tradeoff between arithmetic complexity and management of hierarchical memory structures, roundoff characteristics if different from the sequential schemes, and performance evaluation and enhancement. Applications are derived from a variety of computational science and engineering areas. Typically offered Fall Spring.
3.000 Credit hours

Syllabus Available
Levels: Undergraduate, Graduate, Professional
Schedule Types: Lecture

Offered By: College of Science
Department: Computer Science

Course Attributes:
Upper Division

May be offered at any of the following campuses:     
      West Lafayette

Learning Outcomes: The students will (a) become quite knowledgeable in handling these parallel numerical linear algebra algorithms that arise in computational science and engineering, (b) acquire problem-solving skills in this field, and (c) through written and oral presentations of their projects will be able to clearly communicate their solution strategies and the performance realized on parallel computing platforms.

May not be enrolled as the following Classifications:     
      Sophomore: 45 - 59 hours
      Sophomore: 30 - 44 hours
      Freshman: 0 - 14 hours
      Freshman: 15 - 29 hours

GR-CS 51501 Requisites

General Requirements:

Student Attribute: GR
May not be taken concurrently.  )
Rule: 1.: CS 50100 or 51500 )
CS 50100
Minimum Grade of D-
May not be taken concurrently. CS 51500
Minimum Grade of D-
May not be taken concurrently. End of rule 1.

Rule: 2.: CS 52500 CS 52500
Minimum Grade of D-
May not be taken concurrently. End of rule 2.

Short Title: Parallelism Numer Linear Alg

Course Configurations:

Configuration 1: 3.0 Credits
Schedule Type Weekly Contact Hours Instructional Credit Distribution
Lecture 3 3.0

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