[ONLINE] Introduction to CUDA Programming @ BSC
Date: 12 - 15 April 2021
All PATC Courses at BSC do not charge fees.
Convener:
Antonio Peña, Computer Sciences Senior Researcher, Accelerators and Communications for High Performance Computing, BSC
Objectives:
The aim of this course is to provide students with knowledge and hands-on experience in developing applications software for processors with massively parallel computing resources. In general, we refer to a processor as massively parallel if it has the ability to complete more than 64 arithmetic operations per clock cycle. Many commercial offerings from NVIDIA, AMD, and Intel already offer such levels of concurrency. Effectively programming these processors will require in-depth knowledge about parallel programming principles, as well as the parallelism models, communication models, and resource limitations of these processors.
The target audiences of the course are students who want to develop exciting applications for these processors, as well as those who want to develop programming tools and future implementations for these processors.
Level: INTERMEDIATE: for trainees with some theoretical and practical knowledge; those who finished the beginners course
ADVANCED: for trainees able to work independently and requiring guidance for solving complex problems
Prerequisites: Basics of C programming and concepts of parallel processing will help, but are not critical to follow the lectures.
Further information:
In the context of virtual meetings, the Organiser may facilitate live webstreaming and audio recording. You have the option to opt out of inclusion in recordings by contacting our Education&Training team.
CONTACT US for further details about MSc, PhD, Post Doc studies, exchanges and collaboration in education and training with BSC.
For further details about Postgraduate Studies in UPC - Barcelona School of Informatics (FiB), visit the website
Sponsors: BSC and PRACE 6IP project are funding the PATC @ BSC training events.
If you want to learn more about PRACE Project, visit the website.
Day 1
9:15
The Basics
Antonio J. Peña
10:45
Coffee Break
11:15
Parallelism Model
Simón García de Gonzalo
13:00
Lunch Break
14:00
Memory and Data Locality
Simón García de Gonzalo
15:45
Coffee Break
16:15
Hands-on labs
Marc Jordà
18:00
Adjourn
Day 2
9:00
Efficiency and Performance Considerations
Marc Jordà
10:45
Coffee Break
11:15
Atomics and Histogramming, Reductions
Simón García de Gonzalo
13:00
Lunch Break
14:00
Architectural Considerations
Siddharth Rai
14:45
Efficient Host-Device Data Transfers
Siddharth Rai
15:45
Coffee Break
16:15
Hands-on labs
Marc Jordà
18:00
Adjourn
Day 3
9:00
OpenACC and Other Approaches to GPU Computing
Orestis Korakitis
10:45
Coffee Break
11:15
Latest Architecture & CUDA Features
Marc Jordà
13:00
Lunch Break
14:00
Hands-on labs
Marc Jordà
18:00
Adjourn
Day 4
9:00
Hands-on labs
Marc Jordà
10:45
Coffee Break
11:15
Hands-on labs
Marc Jordà
13:00
Adjourn
End of Course
Event types:
- Workshops and courses
Activity log
