2020-01-22 Introduction to GPU programming (09:00-17:00)
Start programming with CUDA
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About this training
GPU Computing
Graphical Processor Units (GPUs) can be used to speed up certain scientific computing tasks by orders of magnitude. Thus GPUs are now available on many HPC computing clusters including the university Linux cluster UBELIX.
Goal
Learn about computing methods for GPUs and run your first CUDA code.
Learning outcomes - participants know/can
Graphical Processor Units (GPUs) can be used to speed up certain scientific computing tasks by orders of magnitude. Thus GPUs are now available on many HPC computing clusters including the university Linux cluster UBELIX.
Goal
Learn about computing methods for GPUs and run your first CUDA code.
Learning outcomes - participants know/can
- About GPU computingand trends in HPC
- GPU hardware architecture
- How to program on GPU
- CUDA syntax
- UNIBE staff members, students and potential users involved in scientific research
- Participants must bring own laptops and should have a minimal Linux and C/C++ programming knowledge
- The training alternates between short theoretical introductions and programming exercises.
- A certificate will be delivered to participants who have attended the whole training. The certificate is valid as two elective half days for the CAS Applied Data Science.
- The coaches are local or external experts
Practical information (time, location ...)
Time : 2020-01-22 09:00 - 17:00
Location : University of Bern, Room 120, Mittelstrasse 43, University of Bern
Training language: English
Participants : Max 20
Registraion : Mandatory
Coaches : Dr. Simon Grimm (lecturer and coach), Dr. Alexander Kashev (tutor)
Prerequisites : Laptop, Linux and C/C++ programming experience
Certificate : Certificate for full training attendance
Location : University of Bern, Room 120, Mittelstrasse 43, University of Bern
Training language: English
Participants : Max 20
Registraion : Mandatory
Coaches : Dr. Simon Grimm (lecturer and coach), Dr. Alexander Kashev (tutor)
Prerequisites : Laptop, Linux and C/C++ programming experience
Certificate : Certificate for full training attendance
About ScITS
The Science IT Support is there to boost your research by supporting you solving computing challenges.
Your code doesn't compile, you need more computing power, more storage, a data mangament plan and
so on - scits.unibe.ch.
Your code doesn't compile, you need more computing power, more storage, a data mangament plan and
so on - scits.unibe.ch.