Page History

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Introduction

Are you curious about what makes a parallelizing compiler tick, and what program properties enable or prevent software from executing efficiently on vector and parallel computers?

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• Lecture 1 (08/25/2015): Compiler Challenges for High Performance Architectures (Chapter 1)  
• NO CLASS (08/27/2015): Rescheduled to 08/28/2015 below
• ** Lecture 2 (08/28/2015, 4pm, DH 3076): Dependence: Theory and Practice (Chapter 2), Homework 1 assigned, due by 09/08/2015 
• Lecture 3 (09/01/2015): Dependence: Theory and Practice (Chapter 2, contd)
  
• Lecture 4 (09/03/2015): Dependence Testing (Chapter 3)
• Lecture 5 (09/08/2015): Dependence Testing (Chapter 3, contd),  Homework 2 assigned, due by 09/22/2015
• NO CLASS (09/10/2015): Work on problem statement for your class projects
• Lecture 6 (09/15/2015): Dependence Testing (Chapter 3, contd), Preliminary Transformations (Chapter 4)
• Lecture 7 (09/17/2015): Preliminary Transformations (Chapter 4, contd), Vectorization Algorithm (Chapter 2)
• Lecture 8 (09/22/2015):  Vectorization Algorithm (Chapter 2, contd), Enhancing Fine-Grained Parallelism (Chapter 5), Homework 3 assigned, due by 10/08/2015 
• Lecture 9 (09/24/2015): Enhancing Fine-Grained Parallelism (Chapter 5, contd)
• Lecture 10 (09/29/2015): Enhancing Fine-Grained Parallelism (Chapter 5, contd),  Coarse-Grained Parallelism (Chapter 6) 
• NO CLASS (10/01/2015): Self-study, work Work on class project
• Lecture 11 (10/06/2015): Coarse-Grained Parallelism (Chapter 6, contd), Optimal Weighted Loop Fusion for Parallel Programs
• NO CLASS (10/08/2015): Homework 3 due, self-study, work on project
• NO CLASS (10/13/2015): MIDTERM RECESS (discuss project with instructor)
• Lecture 12 (10/15/2015): Midterm Review, Take-home Exam 1 assigned, due by 10/22/2015
• Lecture 13 (10/20/2015): Control  Control Dependence (Chapter 7)Lecture 14
• NO CLASS (10/22/2015): Control Dependence (Chapter 7, contd), Homework 4 assigned, due by 11/05/2015Work on class project, Exam 1 due
• Lecture 14 (10/27/2015): Pipeline Parallelism, OpenMP 4.1 Doacross construct (guest lecture by Dr. Jun Shirako, Rice University)
• Lecture 15 (10/2729/2015): Compiler   Control Dependence (Chapter 7, contd), Compiler Improvement of Register Usage (Chapter 8) 
• Lecture 16 (1011/2903/2015): Compiler  Compiler Improvement of Register Usage (Chapter 8, contd), Homework 4 assigned, due by 11/24/2015
• Lecture 17 (11/0305/2015): Managing  Managing Cache (Chapter 9)
• Lecture 18 (11/0510/2015): Managing  Managing Cache (Chapter 9, contd),  Homework 5 assigned, due by 11/12/2015ASTI Optimizer
• Lecture 19 (11/1012/2015): Unimodular Polyhedral Transformations
• Lecture 20 (11/12/2015): Interprocedural Analysis and Optimization (Chapter 11), Homework 6 assigned, due by 11/24/2015
• (guest lecture by Prof. Uday Reddy, Indian Institute of Science)
• NO CLASS Lecture 21 (11/17/2015): Compiling Array Assignments (Chapter 13) Self-study, work on project
• NO CLASS (11/19/2015): Self-study, work on project
• Lecture 22 20 (11/24/2015):  End-Semester Summary (Chapters 7, 8, 9, 11, 13) Transformation Framework Case Studies
• NO CLASS (11/26/2015): THANKSGIVING
• Lecture 23 21 (12/01/2015): Student project presentations Compiling Array Assignments (Chapter 13)
• Lecture 24 22 (12/03/2015):  Student project presentations End-Semester Summary (Chapters 7, 8, 9, 13), Take-home Exam 2 assigned, due by 12/10/201511/2015
• Lecture 23 (12/08/2015): Student project presentations (special meeting time and place: 8:30am - 12noon, DH 3076)

References

1. Course text: Optimizing Compilers for Modern Architectures, Randy Allen & Ken Kennedy.
2. Automatic Selection of High Order Transformations in the IBM XL Fortran Compilers.  Vivek Sarkar. IBM Journal of Research and Development, 41(3), May 1997.
3. A General Framework for Iteration-Reordering Loop Transformations. Vivek Sarkar  and Radhika Thekkath. Proceedings of the ACM SIGPLAN 1992 Conference on  Programming Language Design and Implementation (PLDI), San Francisco, California,  pages 175-187, June 1992.
4. Optimal Weighted Loop Fusion for Parallel Programs. Nimrod Megiddo and Vivek  Sarkar. Proceedings of the Ninth Annual ACM Symposium on Parallel Algorithms  and Architecture (SPAA), Newport, Rhode Island, June, 1997, pages 282-291.
5. Array SSA form and its use in Parallelization. Kathleen Knobe and Vivek Sarkar.  Proceedings of the 25th ACM SIGPLAN-SIGACT Symposium on Principles of  Programming Languages, San Diego, California, January 1998.
   
   

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Grading will be based on your performance on six four homeworks (weighted 30% in all), one class project to be done in pairs (weighted 30%), and two exams (weighted 20% each).  Each project team will be expected to give a onean in-hour class presentation on their project at the end of the semester (Dec 1 or Dec 3), and to submit a report by December 11, 2015.

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