
Choice Made Simple!
Too many options?Click below to purchase an online gift card that can be used at participating retailers in Village Green Shopping Centre and continue your shopping IN CENTRE!Purchase HereHome
Advanced Parallel Processing Technologies: 15th International Symposium, APPT 2023, Nanchang, China, August 4-6, Proceedings
Coles
Loading Inventory...
Advanced Parallel Processing Technologies: 15th International Symposium, APPT 2023, Nanchang, China, August 4-6, Proceedings in Vernon, BC
By None
Current price: $103.19
Original price: $129.00

Coles
Advanced Parallel Processing Technologies: 15th International Symposium, APPT 2023, Nanchang, China, August 4-6, Proceedings in Vernon, BC
By None
Current price: $103.19
Original price: $129.00
Loading Inventory...
Size: Kobo eBook
*Product information may vary - to confirm product availability, pricing, shipping and return information please contact Coles
This book constitutes the refereed proceedings of the 15th International Symposium on Advanced Parallel Processing Technologies, APPT 2023, held in Nanchang, China, during August 4-6, 2023. The 23 full papers and 1 short papers included in this book were carefully reviewed and selected from 49 submissions. They were organized in topical sections as follows: High Performance Computing and Parallelized Computing, Storage Systems and File Management, Networking and Cloud Computing, Computer Architecture and Hardware Acceleration, Machine Learning and Data Analysis, Distinguished Work from Student Competition.
This book constitutes the refereed proceedings of the 15th International Symposium on Advanced Parallel Processing Technologies, APPT 2023, held in Nanchang, China, during August 4-6, 2023. The 23 full papers and 1 short papers included in this book were carefully reviewed and selected from 49 submissions. They were organized in topical sections as follows: High Performance Computing and Parallelized Computing, Storage Systems and File Management, Networking and Cloud Computing, Computer Architecture and Hardware Acceleration, Machine Learning and Data Analysis, Distinguished Work from Student Competition.



















