Basic Information
The Course Covers Conceptual and Practical Aspects Pf Computer Systems With Computational Accelerators, Like Gpus and Fpgas The Course Will Cover Hardware Architecture, Programming Models, Interaction With I/o Devices, Os and Programming Abstractions, System Security Implications As Well As The Design and Implementation of Complete Accelerated Systems. Learning Outcomes# The Student Will Learn# 1. Practical Gpu Programming Skills. 2. Design and Implementation of Accelerated Systems 3. Software and Hardware Design of I/o Accelerators, Such As High Performance Nics and Nvme Storage 4. Understanding Research in The Field.
Faculty: Electrical and Computer Engineering
|Undergraduate Studies
|Graduate Studies
Pre-required courses
46209 - Structure of Operating Systems or 46267 - Computer Architecture or 234123 - Operating Systems
Course with no extra credit
46274 - Selected Topics in Computer Engineering 236278 - Comp. Accelerators and Accelerated Sys.
Related Books
Semestrial Information
Weekly Hours
3 Academic Credit • 2 Lecture Hours • 1 Discussion Hours • 1 Lab Hours
Responsible(s)
Mark Silberstein
Notes
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קורס משותף עם הפקולטה למדעי המחשב
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מתרגל ובודק תרגילים: דימטרי גברילנקו
Exams
Session A: 01-09-2024 Session B: 10-10-2024Registration Groups
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Weekly Hours
3 Academic Credit • 2 Lecture Hours • 1 Discussion Hours • 1 Lab Hours
Responsible(s)
Mark Silberstein
Notes
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מתרגל ובודק תרגילים: רון מרכוס
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הקורס יועבר בטאוב 5.
Registration Groups
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Weekly Hours
3 Academic Credit • 2 Lecture Hours • 1 Discussion Hours • 1 Lab Hours
Responsible(s)
Mark Silberstein
Notes
-
מתרגל ובודק תרגילים: רון מרכוס
Exams
Session A: 21-07-2022 13:00 - 16:00- אולמן 302.
- אולמן 305.
- טאוב 8.
Registration Groups
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