CS343D: Domain-Specific Programming Models and Compilers

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Course Description

This class will cover the principles and practices of domain-specific programming models and compilers for dense and sparse applications in scientific computing, data science, and machine learning. We will study programming models from the recent literature, categorize them, and discuss their properties. We will also discuss promising directions for their compilation, including the separation of algorithm, schedule, and data representation, polyhedral compilation versus rewrite rules, and sparse iteration theory. Prerequisites: CS143 or equivalent

For course details, e.g., Office Hours, see the Course Info page. (Note: this page is currently under construction for Winter 2026, lectures and lecture slides are subject to change.)

Schedule

Date Topic Readings
Lecture 1 Jan 6 (Tue) Introduction
Lecture 2 Jan 8 (Thu) Domain-Specific Compilers
Lecture 3 Jan 13 (Tue) Building DSLs
Lecture 4 Jan 15 (Thu) Collection-Oriented Languages
Lecture 5 Jan 20 (Tue) Dense Programming System
Lecture 6 Jan 22 (Thu) Sparse Programming Systems
Lecture 7 Jan 27 (Tue) Sparse Iteration Model I
Lecture 8 Jan 29 (Thu) Sparse Iteration Model II
Lecture 9 Feb 3 (Tue) Project Pitch
Lecture 10 Feb 5 (Thu) Fast Compilers
Lecture 11 Feb 10 (Tue) Project Discussion I
Lecture 12 Feb 12 (Thu) Project Discussion II
Lecture 13 Feb 17 (Tue) TBD
Lecture 14 Feb 19 (Thu) TBD
Lecture 15 Feb 24 (Tue) TBD
Lecture 16 Feb 26 (Thu) TBD
Lecture 17 Mar 3 (Tue) TBD
Lecture 18 Mar 5 (Thu) TBD
Lecture 19 Mar 10 (Tue) Project demo
Lecture 20 Mar 12 (Thu) Project demo