May 2019
Intermediate to advanced
452 pages
12h 16m
English
Content preview from Hands-On GPU Computing with Python
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Further reading
- Exploring utilisation of GPU for database applications, S Walkowiak, K Wawruch, M Nowotka, L Ligowski, W Rudnicki (2010), Procedia Computer Science (online) 1(1), pp.505-513. Available at https://www.sciencedirect.com/science/article/pii/S1877050910000554/pdf?md5=1db96e3ff6793878ce491d31b8e99354&pid=1-s2.0-S1877050910000554-main.pdf.
- GPU Acceleration for SQL Queries on Large-Scale Distributed Systems, L Nguyen, P Hemler (2017). The Journal of Computational Science Education (online) 8(1), pp.20-26. Available at https://www.shodor.org/media/content//jocse/volume8/issue1/Nguyen_final.
- GPU SQL Query Accelerator, K Yong, H Ong, V Yap (2016), International Journal of Information Technology (online) 22(1). Available at http://www.intjit.org/journal/download/down.php?file=/22/1/221_3.pdf ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.