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CMSC 22240-1: Computer Architecture for Scientists (and other non-engineers) Winter 2020, TuTh 930-1050am, Ry 276 Designed to provide an understanding of the key scientific ideas that underpin the extraordinary capabilities of today’s computers, including speed (gigahertz), illusion of sequential order (relativity), dynamic locality (warping space), parallelism, keeping it cheap - and low-energy (e-field scaling), and of course their ability as universal information processing engines. These scientific "miracles" are robust, and provide a valuable longer-term understanding of computer capabilities, performance, and limits to the wealth of computer scientists practicing data science, software development, or machine learning. Students may not receive credit for both CMSC 22200 and 22240. This course is an optional prerequisite for CMSC 23000 (parallel to others)
Students will read the lecture notes, discuss lectures, perform
case studies in performance and scalability, and also pursue connections to other
science principles. The
scientific principles behind performance and scalability in computer
architecture will enable them to reason about energy/power and performance
in systems ranging from smartphones to cloud datacenters.
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