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School of Education

http://catalog.iastate.edu/collegeofhumansciences/schoolofeducation/

...who apply for licensure are recommended for licensure...Pedagogy/Methods Coursework: EDUC 487 Methods in Secondary...

CPR E 487: Hardware Design for Machine Learning

(3-3) Cr. 4.

Prereq: CPR E 381 or COM S 321
Introduction to hardware architectures for machine learning. Full system view – machinelearning frameworks to hardware interface to hardware architecture. General purpose CPU extensions for machine learning. GPU extensions for machine learning. Spatial architec-tures for machine learning. Performance, energy, and accuracy trade-offs. Hardware designoptimizations for machine learning, including quantization, data re-use, SIMD, and SIMT. Lab section will culminate with the design and evaluation of an application-specific machinelearning accelerator.