Parallel Programming and Operating Systems Quiz

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Questions and Answers

What is the ideal programming language for the assignments in the course?

Python

Ruby

Java

C/C++ (correct)

Which operating system is recommended for the labs?

Linux (correct)

Windows

Android

MacOS

What is a recommended MPI implementation for the course?

OpenMPI

MPICH (correct)

HP-MPI

Intel MPI

Which concept deals with optimizing data transfer between cache and computational units?

Cache Optimization Signup and view all the answers

What is a common method to handle synchronization in parallel programming?

Pthreads Mutex Signup and view all the answers

Which form of parallel programming is focused on breaking down tasks into smaller units that can be executed concurrently?

Task Parallelism Signup and view all the answers

What is the main focus of the book 'OpenMP' by S.Hoffmann and R.Lienhart?

Task parallelism with OpenMP Signup and view all the answers

Which book is considered the definitive guide on MPI according to the text?

Using MPI by W.Gropp, E.Lusk, A.Skjellum Signup and view all the answers

Which concept does Michael Wolfe's book 'Optimizing Supercompilers for Supercomputers' primarily delve into?

Performance optimization techniques Signup and view all the answers

What is the main topic covered in 'Parallel Computer Architecture - A Hardware / Software Approach' by D.E.Culler and J.P.Singh?

Organizational forms of parallel processing Signup and view all the answers

In which book would you find detailed information on parallelizing compilers?

'Optimizing Supercompilers for Supercomputers' by Michael Wolfe Signup and view all the answers

What is the focus of the pocketbook 'OpenMP' by S.Hoffmann and R.Lienhart?

'OpenMP' usage and application Signup and view all the answers

What is the goal of parallelism with respect to the execution of programs?

To achieve a faster solution for the task being processed Signup and view all the answers

Which type of applications benefit the most from parallel processing according to the text?

Simulation applications like climate modeling Signup and view all the answers

In the context of protein folding simulation, approximately how many floating-point operations (Flop) are needed per time step?

5 · 10^11 Flop Signup and view all the answers

What is a major problem associated with parallel processing, as mentioned in the text?

High subdivision of tasks and coordination overhead Signup and view all the answers

Which factor contributes to the need for parallelism in handling tasks efficiently?

Dealing with high computational demands Signup and view all the answers

What is the primary benefit of achieving parallelism in program execution?

Enhancing speed in task completion Signup and view all the answers

Study Notes

Ideal Programming Language and Environment

No specific programming language is recommended for the course assignments.
A Unix-based operating system (e.g., Linux, MacOS) is recommended for the labs.
A recommended MPI (Message Passing Interface) implementation for the course is not specified.

Parallel Programming Concepts

Data locality is a concept that deals with optimizing data transfer between cache and computational units.
A common method to handle synchronization in parallel programming is not specified.
Task parallelism is a form of parallel programming that focuses on breaking down tasks into smaller units that can be executed concurrently.

Books and References

The book 'OpenMP' by S.Hoffmann and R.Lienhart focuses on OpenMP.
'MPI: The Complete Reference' by Marc Snir is considered the definitive guide on MPI.
Michael Wolfe's book 'Optimizing Supercompilers for Supercomputers' primarily delves into compiler optimization.
'Parallel Computer Architecture - A Hardware / Software Approach' by D.E.Culler and J.P.Singh covers parallel computer architecture.
The book 'Optimizing Compilers for Modern Architectures' by Randy Allen and Ken Kennedy provides detailed information on parallelizing compilers.
The pocketbook 'OpenMP' by S.Hoffmann and R.Lienhart focuses on OpenMP.

Parallelism and Its Benefits

The goal of parallelism is to speed up the execution of programs by executing multiple tasks concurrently.
Applications that benefit the most from parallel processing are computationally intensive and have a large number of independent tasks, such as protein folding simulations.
Protein folding simulations require approximately 10^18 floating-point operations (Flop) per time step.

Challenges and Limitations of Parallel Processing

A major problem associated with parallel processing is the difficulty of synchronizing and coordinating the execution of multiple tasks.
The increasing computational power and complexity of tasks contribute to the need for parallelism in handling tasks efficiently.
The primary benefit of achieving parallelism in program execution is to reduce the execution time and improve the overall performance of the program.

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Description

Test your knowledge on parallel hardware, operating systems, programming basics like MPI, compiler techniques, design of parallel programs, case studies, and algorithms. Literature references include Ian Foster and Seyed Roosta's books on parallel processing. Explore various approaches to parallel programming.