GPU Parallel Program Development Using CUDA

This edition of GPU Parallel Program Development Using CUDA has approximately 440 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.

For most readers, GPU Parallel Program Development Using CUDA typically takes between 9h 10m and 6h 7m to complete. This is based on the book's length of approximately 110,000 words and common reading speeds.

Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 7h 20m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 15 days • Estimated word count: 110,000 words

Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.

The estimated word count for GPU Parallel Program Development Using CUDA is approximately 110,000 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.

This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.

GPU Parallel Program Development Using CUDA was written by Tolga Soyata.

The publication date for this specific edition is 2018. The original work may have been published on a different date.