- Lectures notes from midterm through May 4.
- Textbook: Chapters 5, 6, 7, 10.1-10.3, 11 (only parts covered in class).
- Individual Lab 3 (dictionary).
- collective communication: broadcast, scatter, gather, reduce,
all_reduce, all_gather
- ways of implementing collective communications, how to use them
- data distributions: how and when to use them, how to implement them
- Jacobi's method
- cartesian topologies: how to set them up, how to use them, benefits/issues
- communicators and groups: how to set them up and
use them, when to use them, benefits/issues
- derived data types: how to set them up and use them, when to use each,
benefits/issues
- performance evaluation
The exam is closed book, closed neighbor and you will have the full final exam period to work. You will be given a list of MPI commands with their parameters for reference. In general, the exam will be a combination of testing your basic knowledge and understanding of the concepts covered in class and application of the concepts. The questions will be of the form:
- Short answer.
- Briefly describe a parallel algorithm for a particular problem,
using a particular
paradigm of parallel computing.
- Explain what will happen when a particular code segment is executed.
- Show what the storage for each process will look like after some set of
commands is executed.
- Write a short (5-10) line MPI program, given a list of MPI commands with
parameters.
The questions are NOT true/false or multiple choice. Instead, partial credit will be given when possible on any question in the exam.
Review your lecture notes, labs, and textbook chapters. Work through the problems on the worksheets given out in class. Write some code segments with each of the MPI constructs to be covered, to make sure you understand how to pass the proper parameters.
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