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Joint NHR@ZIB - INTEL   oneAPI Workshop,  March 2-3, 3021
Version: 09.02.2021






(all times in CET = UTC+1)





Day 1 (Tuesday; March 2nd, 2020)








TOPIC

Presenter

09:0009:1000:10Welcome and Introduction to Day 1 Edmund Preiss (Intel),
Dr. Thomas Steinke (ZIB)
09:1009:4000:30oneAPI – Introduction to a new Development Environment
- Concept and oneAPI Standardization initiative
- Intel’s Tools Implementation – Intel oneAPI Toolkits and libs
- Transition from Intel Parallel Studio XE to Intel oneAPI toolkits
Edmund Preiss (Intel)
09:4010:1000:30Introduction to the DevCloud
- Purpose: Demoing, testing and porting applications
- Hardware and Software offerings
- How to onboard & how to get an DevCloud account
Michael Steyer (Intel)
10:1010:1500:05Bio Break
10:1512:1502:00Direct programming with oneAPI Compilers – with Demos
- Intro to DPC++ heterogenous programming model and SYCL 2020
- Fortran and offloading with OpenMP5.0
- DPC++ features and examples
   o  “Hello World” Example
   o  Device Selection
   o  Compilation and Execution Flow
   o  Execution Model
   o  Memory Model; Buffers, Unified Shared Memory (USM)
   o  Kernel Model
Igor Vorobtsov (Intel)
12:1513:1501:00Lunch Break
13:1514:1501:00Compatibility tool for porting purposes with demo            
- Migration Cuda based GPU Applications to oneAPI (DPC++)
Igor Vorobtsov (Intel)
14:1515:0000:45Intel oneAPI libraries (oneMKL, oneDAL, …)  - with demos
- Performance optimized libraries for AI, numerical simulations and other purposes
Gennady Fedorov (Intel)
15:0015:0500:05Bio Break
15:0515:3000:25- Questions and Answers
- Wrap up 
Intel / ZIB










Day 2 (Wednesday; March 3rd, 2020)








TOPIC

Presenter

09:0009:1000:10Welcome and Introduction to Day 2 Edmund Preiss (Intel),
Dr. Thomas Steinke (ZIB)
09:1010:1001:00A oneAPI Case Study: easyWave - A Tsunami Simulations Application - with demos
ZIB's experiences with Intel oneAPI       
- Porting a tsunami application from CUDA to DPC++
- Running DPC++ code on GPU
- From CUDA to DPC++ back to Nvidia GPUs... and FPGAs
- A oneAPI case study with the tsunami simulation easyWave

Live Demos:
(1) overview on CUDA code,
(2) CUDA code execution
(3) guided transformation with Compatibility Tool,
(4) presentation/analysis of generated DPC++ code,
(5) execution on different architectures (Intel CPU + GPU, Nvidia GPU)
Steffen Christgau (ZIB)
(Marius Knaust, ZIB)
10:1010:5000:40Intel OpenMP – with Demos
- Parallelizing heterogenous applications with Intel OpenMP and OpenMP offloading
Michael Steyer (Intel)
10:5011:0000:10Bio Break
11:0011:4500:45Intel HW (public) roadmap/XPU and architecture specifics
- Server CPUs
- Client CPUs (i.e., Tigerlake; iCore with integrated graphics)
- Intel hardware accelerators GPUs (DG1, SG1, ATS)  and Intel FPGAs
Jean-Laurent Philippe (Intel)
11:4512:1500:30A oneAPI Case Study: Ginkgo – a sparse linear algebra library for OneAPI Hardware
Experience and potential of using oneAPI for the Ginkgo sparse linear algebra library       
- Porting of numerical linear algebra kernels from Cuda to DPC++
- Pitfalls and solutions in the OneAPI Compatibility Tool
- Performance of Ginkgo’s DPC++ backend on Intel GPU
- Live demo running Ginkgo in the Intel DevCloud 
Prof. Hartwig Anzt (KIT)
 (Y. Tsai, T. Cojean, KIT)
12:1513:1501:00Lunch Break
13:1514:3001:15Application profiling for heterogenous hardware - Demos
- Profile DPC++ and GPU Workload VTune Profiler and VTune Offload
- Share experiences/key findings  with Gromacs related porting and optimization efforts 
Heinrich Bockhorst (Intel)
14:3014:3500:05Bio Break
14:3515:3501:00Application profiling for heterogenous hardware - Demos
- Profile DPC++ and GPU Workload with Advisor include and Roofline analyser
- Estimate performance potential gains with Offload Advisor ( CPU -> HW Accelerator)
Klaus-Dieter Oertel (Intel)
15:3516:0000:25- Questions and Answers
- Wrap up 
Intel / ZIB
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