It takes the average reader 4 hours and 16 minutes to read Parallel MATLAB for Multicore and Multinode Computers by Jeremy Kepner
Assuming a reading speed of 250 words per minute. Learn more
Parallel MATLAB for Multicore and Multinode Computers is the first book on parallel MATLAB and the first parallel computing book focused on the design, code, debug, and test techniques required to quickly produce well-performing parallel programs. MATLAB is currently the dominant language of technical computing with one million users worldwide, many of whom can benefit from the increased power offered by inexpensive multicore and multinode parallel computers. MATLAB is an ideal environment for learning about parallel computing, allowing the user to focus on parallel algorithms instead of the details of implementation. This book covers more parallel algorithms and parallel programming models than any other parallel programming book due to the succinctness of MATLAB and presents a "hands-on" approach with numerous example programs. Wherever possible, the examples are drawn from widely known and well-documented parallel benchmark codes representative of many real applications.
Parallel MATLAB for Multicore and Multinode Computers by Jeremy Kepner is 253 pages long, and a total of 64,009 words.
This makes it 85% the length of the average book. It also has 78% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 5 hours and 49 minutes to read Parallel MATLAB for Multicore and Multinode Computers aloud.
Parallel MATLAB for Multicore and Multinode Computers is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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