GPU Bootcamp is an exciting and unique way for scientists and researchers to learn the skills needed to start quickly accelerating codes on GPUs. Held as a virtual event in June, this two-days event will introduce you to available GPU libraries, programming models, and platforms where you will learn the basics of GPU programming through extensive hands-on collaboration based on real-life applications using the OpenACC programming model.
Moreover, you will get hands-on experience on how to use NVIDIA Nsight tools and NVTX to profile your applications. This virtual GPU Bootcamp is organized in collaboration with IIT Kharagpur, National Supercomputing Mission (NSM), OpenACC.org, and NVIDIA.
This Bootcamp is only for those affiliated with IIT Kharagpur.
Day 1: September 15, 2020 (9:00 AM - 17:00 PM)
Connecting to Hackathon cluster
Introduction to GPU Programming with OpenACC
- Introduction to GPU programming (15 min)
- What is a GPU and Why Should You care?
- What is GPU Programming?
- Available Libraries, Programming Models, Platforms
- Introduction to OpenACC (45 min)
- What is OpenACC and Why Should You Care?
- Profile-driven Development
- First Steps with OpenACC
- Lab 1
- OpenACC Data Management (45 min)
- CPU and GPU Memories
- CUDA Unified (Managed) Memory
- OpenACC Data Management
- Lab 2
Introduction to GPU Programming with OpenACC-Continued (11:30-12:30)
- Gangs, Workers, and Vectors Demystified (55 min)
- GPU Profiles
- Loop Optimizations
- Lab 3
Lunch Break 12:30-13:30
Part 2: Mini-application challenge (13:30-18:00)
- Overview of the mini-application (15 min)
- Review steps to acceleration (5 min)
- Application challenge (offline, support through slack)
Day 2: September 16, 2020 (9:00 AM - 12:00 PM)
Mini-application Solution Walk-through
Introduction to NVIDIA ® Nsight ™ Tools
- Overview of Nsight Tools
- How to profile a serial application with NVIDIA Tools Extension (NVTX)
- Overview of optimization cycle with Nsight Systems
- Profile a sequential weather modeling application (integrated with NVTX APIs) with NVIDIA Nsight Systems to capture and trace CPU events and time ranges
- Understand how to use NVIDIA Nsight Systems profiler’s report to detect hotspots and apply OpenACC compute constructs to the serial application to parallelise it on the GPU
- Learn how to use Nsight Systems to identify issues such as underutilized GPU device and unnecessary data movements in the application and to apply optimization strategies steps by steps to expose more parallelism and utilize computer’s CPU and GPU
Bharatkumar Sharma (NVIDIA)
Bharatkumar Sharma has approximately 10 years of development and research experience in the domain of Software Architecture, Distributed and Parallel Computing. He has recently published a book on CUDA 10. He is currently working with NVIDIA as a GPU Advocate. He has expertise in designing Software for Non Functional Requirements and Software Migration to latest heterogeneous parallel architectures. Bharat received his master degree in Information Technology from Indian Institute of Information Technology (IIIT, Bangalore).
Important Event Dates
GPU Bootcamp Application Deadline
GPU Bootcamp Day 1
GPU Bootcamp Day 2