High Performance Computing
Session
Regular Academic Session
Class Number
5785
Career
Undergraduate
Units
3 units
Grading
Graded Alpha
Description
This course covers parallel architectures and parallel models of computation. Algorithms for achieving high performance in various computational contexts are discussed. Models such as shared memory, message passing, and hybrid modes of computing are introduced.

Prerequisite: COMP 264 and COMP 272

Outcomes: Students will learn how to engineer solutions to practical problems in multiprocessor architectures and using large physical memories.
Enrollment Requirements
Prerequisite: At least C- in COMP 264 and COMP 272
Class Actions
Look up course materials
Class Details
Instructor(s)
Christopher Stone
Meets
We 7:00PM - 9:30PM
Dates
08/25/2025 - 12/06/2025
Room
Online
Instruction Mode
Online
Campus
Online Campus
Location
Online Campus
Components
Lecture Required
Class Availability
Status
Open
Seats Taken
21
Seats Open
14
Combined Section Capacity
35
Wait List Total
0
Wait List Capacity
0
Combined Section
High-Performance Computing
COMP 464 - 001 (3885)
Status: Closed
Seats Taken: 11
Wait List Total: 0
High Performance Computing
COMP 364 - 001 (5785)
Status: Open - Enrl
Seats Taken: 10
Wait List Total: 0