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5.0
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| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
CS 6346 Neeraj Mittal | |||||
A | |||||
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| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
CS 6346 Neeraj Mittal | |||||
A | |||||
Grades: 961
Median GPA: B+
Mean GPA: 3.328
3.2
Professor rating
4.1
Difficulty
48
Ratings given
51%
Would take again
Introduction to Multicore Programming
CS 6346
Erik Jonsson School of Engineering and Computer Science
Introduction to multi-core and GPU architecture concepts. Classic and modern algorithms for coordination and synchronization. Blocking and non-blocking synchronization. Correctness conditions and reasoning about concurrent algorithms. Data structures that exploit and extract performance from multiple cores. Concurrent memory reclamation techniques. GPU programming with CUDA. 3 credit hours.
Prerequisites: CS 5343 and CS 5348.
Offering Frequency: Each year
Grades: 40
Median GPA: A
Mean GPA: 3.847
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Grades: 961
Median GPA: B+
Mean GPA: 3.328
3.2
Professor rating
4.1
Difficulty
48
Ratings given
51%
Would take again
Introduction to Multicore Programming
CS 6346
Erik Jonsson School of Engineering and Computer Science
Introduction to multi-core and GPU architecture concepts. Classic and modern algorithms for coordination and synchronization. Blocking and non-blocking synchronization. Correctness conditions and reasoning about concurrent algorithms. Data structures that exploit and extract performance from multiple cores. Concurrent memory reclamation techniques. GPU programming with CUDA. 3 credit hours.
Prerequisites: CS 5343 and CS 5348.
Offering Frequency: Each year
Grades: 40
Median GPA: A
Mean GPA: 3.847
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