Part 1 of 2: Fundamentals of Accelerated Computing with CUDA C/C++
| Date/Time: | Monday, 24 Feb 2025 from 1:00 pm to 5:00 pm |
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| Location: | The Catalyst, Room 199, Parks Library |
| URL: | https://iastate.libcal.com/event/13895731 |
| Contact: | Adarsh Krishnamurthy |
| Phone: | 515-294-5568 |
| Channel: | University Library |
| Actions: | Download iCal/vCal | Email Reminder |
Participants will learn how to write code, configure code parallelization with CUDA, optimize memory migration between the CPU and GPU accelerator, and implement the workflow learned on a new task--accelerating a fully functional, but CPU-only, particle simulator for observable massive performance gains. At the end of the workshop, you'll have access to additional resources to create new GPU-accelerated applications on your own.
Each session is roughly divided into 3 hours of interactive teaching and 1 hour of extra Q&A.
This first session focuses on accelerating applications with CUDA C/C++ and managing accelerated application memory with CUDA C/C++.
The second session will focus on asynchronous streaming and visual profiling for accelerated applications with CUDA C/C++.
Upon successful completion of the assessment, you'll receive an NVIDIA certificate.