Introduction To High Performance Computing For Scientists And Engineers (Chapman & Hall/Crc Computational Science),New

Introduction To High Performance Computing For Scientists And Engineers (Chapman & Hall/Crc Computational Science),New

In Stock
SKU: DADAX143981192X
Brand: Crc Press
$100.05 $142.93
Save $42.88
Quantity
Add to wishlist
Add to compare

Processing time: 1-3 days

US Orders Ships in: 3-5 days

International Orders Ships in: 8-12 days

Return Policy: 15-days return on defective items

Payment Option
Payment Methods

Help

If you have any questions, you are always welcome to contact us. We'll get back to you as soon as possible, withing 24 hours on weekdays.

Customer service

All questions about your order, return and delivery must be sent to our customer service team by e-mail at yourstore@yourdomain.com

Sale & Press

If you are interested in selling our products, need more information about our brand or wish to make a collaboration, please contact us at press@yourdomain.com

Written By High Performance Computing (Hpc) Experts, Introduction To High Performance Computing For Scientists And Engineers Provides A Solid Introduction To Current Mainstream Computer Architecture, Dominant Parallel Programming Models, And Useful Optimization Strategies For Scientific Hpc. From Working In A Scientific Computing Center, The Authors Gained A Unique Perspective On The Requirements And Attitudes Of Users As Well As Manufacturers Of Parallel Computers.The Text First Introduces The Architecture Of Modern Cachebased Microprocessors And Discusses Their Inherent Performance Limitations, Before Describing General Optimization Strategies For Serial Code On Cachebased Architectures. It Next Covers Shared And Distributedmemory Parallel Computer Architectures And The Most Relevant Network Topologies. After Discussing Parallel Computing On A Theoretical Level, The Authors Show How To Avoid Or Ameliorate Typical Performance Problems Connected With Openmp. They Then Present Cachecoherent Nonuniform Memory Access (Ccnuma) Optimization Techniques, Examine Distributedmemory Parallel Programming With Message Passing Interface (Mpi), And Explain How To Write Efficient Mpi Code. The Final Chapter Focuses On Hybrid Programming With Mpi And Openmp.Users Of High Performance Computers Often Have No Idea What Factors Limit Time To Solution And Whether It Makes Sense To Think About Optimization At All. This Book Facilitates An Intuitive Understanding Of Performance Limitations Without Relying On Heavy Computer Science Knowledge. It Also Prepares Readers For Studying More Advanced Literature.Read About The Authors Recent Honor: Informatics Europe Curriculum Best Practices Award For Parallelism And Concurrency

⚠️ WARNING (California Proposition 65):

This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.

For more information, please visit www.P65Warnings.ca.gov.

Recently Viewed