CS525: Parallel Computing
Fall 2014.

Ananth Grama, ayg@cs.purdue.edu, 494 6964
Tu/Th 10:30 - 11:45 AM
Lambert 105

Office Hours:
W, 1:30 - 3:00, and by appointment.

TA: Rohit Bhatia (rohit2412@gmail.com)

Course Announcements:

Important announcements relating to the course will be made here. Please look at this area of the web page periodically. Announcements will include (but are not limited to) release of assignments, erratas, and grades.

Course Contents

CS525, Parallel Computing deals with emerging trends in the use of large scale computing platforms ranging from desktop multicore processors, tightly coupled SMPs, message passing platforms, and state-of-the-art virtualized cloud computing environments . The course consists of four major parts:
  • Parallel Programming: Programming models and language support for programming parallel platforms is discussed. Message passing using MPI, thread-based programming using POSIX threads, directive-based programming using OpenMP, and GPU programming in CUDA are discussed.
  • Parallel and distributed platforms: This part of the class outlines parallel computing hardware. Topics covered include processor and memory architectures, multicore, SMP, and message passing hardware, interconnection networks, and evaluation metrics for architectures. Cost models for communication are also developed.
  • Parallel and Distributed Algorithms: Starting from design principles for parallel algorithms, this part develops parallel algorithms for a variety of problems. Various metrics for evaluating these algorithms are also discussed.
  • Applications: A variety of parallel applications from diverse domains such as data analysis, graphics and visualization, particle dynamics, and discrete event and direct numerical simulations will be discussed.

Lecture Notes.

Assignment 1, Due Thursday, Sept 18, 2014.
Assignment 2, Due Tuesday, Oct 7, 2014, before class.
Assignment 3, Due Tuesday, Oct 30, 2014, before class.
Assignment 4, Due Thursday, Dec 12, 2014, before class.

Complete set of slides for the course.

Academic Dishonesty Policy:

Please read this policy before starting as I intend on enforcing it strictly.

Grading Policy

To be discussed in class.