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Chapter 1 Introduction: Parallelism = Opportunities + Challenges
The Power and Potential of Parallelism Examining Sequential and Parallel Programs A Paradigm Shift Parallelism Using Multiple Instruction Streams The Goals: Scalable Performance and Portability Summary Historical Context Exercises
Chapter 2 Parallel Computers And Their Model
Balancing Machine Specifics with Portability A Look at Five Parallel Computers The RAM: An Abstraction of a Sequential Computer The PRAM: A Parallel Computer Model The CTA: A Practical Parallel Computer Model Memory Reference Mechanisms A Closer Look at Communication Applying the CTA Model Summary Historical Perspective Exercises
Chapter 3 Reasoning about Performance
Introduction Motivation and Some Basic Concepts Sources of Performance Loss Parallel Structure Reasoning about Performance Performance Trade-Offs Measuring Performance What should we measure?
Summary Historical Perspective Exercises
Chapter 4 First Steps Towards Parallel Programming
Task and Data Parallelism Peril-L Count 3s Example Conceptualizing Parallelism Alphabetizing Example Comparison of Three Solutions Summary Historical Perspective Exercises
Chapter 5 Scalable Algorithmic Techniques
The Inevitability of Trees Blocks of Independent Computation Schwartz’ Algorithm Assigning Work To Processes Statically Assigning Work to Processes Dynamically The Reduce & Scan Abstractions Trees Summary Historical Context Exercises
Chapter 6 Programming with Threads
POSIX Threads Thread Creation and Destruction Mutual Exclusion Synchronization Safety Issues Performance Issues Open MP The Count 3s Example Semantic Limitations on Reduction Thread Behavior and Interaction Sections Summary of OpenMP Java Threads Summary Historical Perspectives Exercises
Chapter 7 Local View Programming Languages
MPI: The Message Passing Interface Getting Started Safety Issues Performance Issues Co-Array Fortran Unified Parallel C Titanium Summary Exercises
Chapter 8 Global View Programming Languages
The Z-level Programming Language Basic Concepts of ZPL Life, An Example Design Principles Manipulating Arrays Of Different Ranks Reordering Data With Remap Parallel Execution of ZPL Performance Model Summary NESL Historical Context Exercises
Chapter 9 Assessing Our Knowledge
Introduction Evaluating Existing Approaches Lessons for the Future Summary Historical Perspectives Exercises
Chapter 10 Future Directions in Parallel Programming
Attached Processors Grid Computing Transactional Memory Summary Exercises
Chapter 11 Capstone Project: Designing a Parallel Program
Introduction Motivation Getting Started Summary Historical Perspective Exercises
Appendix 1 More Advanced Concepts
| Price | Condition | Delivery | Seller | Action |
| $119.49 | Digital |
| WonderClub |
Gary Hill
reviewed Principles of Parallel Programming on February 23, 2017
Principles of Parallel Programming
This was a much denser volume than the first volume. To say that it went over my head in many parts would be an understatement. It is interesting to see the points for where highly computationally intensive applications will have to be concerned.
The first half is a good warning to consider before you try and do anything "random." It actually begins with simple tests that are very intuitive to determine how random a series is and builds up to some fairly comprehensive tests.
Interestingly, the intro to the second half is just plain fun for a brief history of arithmetic. To the point that you will feel like such a "simple" discipline will seem almost alien. Very impressive.
At any rate, I do plan on revisiting sections later. Not sure I will make a ton more progress, but you won't know till you try. And many of these topics are more reachable once you missed them the first twenty times. :)
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Add Principles of Parallel Programming, With the rise of multi-core architecture, parallel programming is an increasingly important topic for software engineers and computer system designers. Principles of Parallel Programming , written by well-known researchers Calvin Lin , Principles of Parallel Programming to the inventory that you are selling on WonderClubX
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Add Principles of Parallel Programming, With the rise of multi-core architecture, parallel programming is an increasingly important topic for software engineers and computer system designers. Principles of Parallel Programming , written by well-known researchers Calvin Lin , Principles of Parallel Programming to your collection on WonderClub |