BIG CPU, BIG DATA: Solving the World's Toughest Problems with Parallel Computing
Overview & Synopsis
This book teaches you how to write parallel programs for multicore machines, compute clusters, GPU accelerators, and big data map-reduce jobs, in the Java language, with the free, easy-to-use, object-oriented Parallel Java 2 Library. The book also covers how to measure the performance of parallel programs and how to design the programs to run as fast as possible.
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Document Information
| Document Title | BIG CPU, BIG DATA: Solving the World's Toughest Problems with Parallel Computing |
|---|---|
| Author / Organization | Alan Kaminsky |
| Subject & Discipline | Big Data, Parallel Computing and Programming, Advanced Java, C Programming, Computer System, Organization, and Architecture |
| Categories | Big Data |
| Publication Year | 2016 |
| ISBN | 1534872280 |
| License / Rights | CC BY-NC-ND 3.0 |
| Resource Verification | ✓ Verified Direct PDF Available |
| Alternative Mirrors & Links | |
| Original Host Website |
FreeComputerBooks.com
(freecomputerbooks.com)
|
| File Format | application/pdf (Portable Document Format) |
| Reported File Size | 12286.4 KB (12,581,286 bytes) |
| Language | ENGLISH |
| Catalog ID | DOC-3759 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |
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