Location & Time

TR 9.45 AM-11.00 AM
209 Hammond Building


Kamesh Madduri
Office hours:
TR 1.00 PM-2.30 PM (343E IST)
Appointment (cal)

Important Dates

Jan 13. First class
Feb 03. HW1 due
Mar 03. Midterm exam
Mar 24. HW2 due
Mar 31. HW3 due
Apr 14. Mini project due


This class introduces students to parallel programming and the design of parallel algorithms for scientific applications. We will also study challenges with concurrent execution and synchronization on current shared- and distributed-memory systems, and solution techniques. If you have already taken CSE 557, you must not take CMPSC 450.


Parallel Algorithm Design and Analysis
Models for algorithm analysis, Sources of concurrency, Overview of current parallel systems.
High-performance Parallel Programming
Programming models and libraries (MPI, OpenMP, CUDA), Optimizations for serial performance, Memory locality
Parallelization Techniques
Divide and conquer, Balanced trees, Pointer jumping, Pipelining, Randomization.
Dense linear algebra, Sparse matrix computations, Sorting, FFT, N-body methods, Graph Analytics.


Last updated Jan 12. pdf icon

Schedule, Lecture notes

Please join the class on Piazza.


Georg Hager and Gerhard Wellein, Introduction to High Performance Computing for Scientists and Engineers, CRC Press, 2010.


CMPSC 121, CMPSC 201 or CMPSC 202 (students must be proficient in sequential programming and C/C++); MATH 220; MATH 230 or MATH 231.

Class material

Homework assignments will be posted on Angel. We will use Piazza for class discussions and announcements. Lecture slides and other resources will also be available on Piazza.

Last updated: