Summer School on Hardware-aware Scientific Computing
Date and Place
October 4-15, 2021
Interdisciplinary Center for Scientific Computing (IWR), Heidelberg University (UHD), Germany and Department of Computational and Data Sciences (CDS) at Indian Institute of Science Bangalore (IISc).
The school will be a hybrid event with live sessions at both places and streaming to offsite participants.
This summer school is part of our HASC grant in the Indo-german Partnership programme that we have together with the Department of Computational and Data Sciences (CDS) at Indian Institute of Science Bangalore (IISc).
Aim
Bring together Ph.D. candidates from Mathematics, Computer Science and Scientific Computing to study the interplay of efficient numerical algorithms with modern computer hardware.
Format
First week October 4-8 is filled with lectures covering all aspects from hardware, programming models and algorithms to applications.
Second week October 11-15 features small projects lead by a pair of supervisors from India and Germany.
Topics
- Aspects of modern processor architectures
- Programming models and accelerator programming
- Scalable methods for solving partial differential equations (PDEs)
- Optimal control of PDEs
- Large-scale Bayesian interference and data assimilation
- Energy-aware numerical methods
Speakers
- Konduri Aditya (CDS, IISc)
- Peter Bastian (IWR, UHD)
- Praveen Chandrashekar (TIFR CAM)
- Sashikumaar Ganesan (CDS, IISc)
- Roland Herzog (IWR, UHD)
- Vincent Heuveline (IWR, UHD)
- Guido Kanschat (IWR, UHD)
- Phani Motamarri (CDS, IISc)
- Dirk Pleiter (KTH, Stockholm)
- Robert Scheichl (IAM/IWR, UHD)
- Deepak Subramani (CDS, IISc)
- Jakob Zech (IWR, UHD)
Registration
The official registration form is closed now. Late registrations are possible, but with a restriction on in person participation. Please write an email to iwrschool@iwr.uni-heidelberg.de.
Lecture Schedule October 4-8
| Monday, October 4, 2021 | Tuesday, October 5, 2021 | Wednesday, October 6, 2021 | Thursday, October 7, 2021 | Friday, October 8, 2021 | |||
|---|---|---|---|---|---|---|---|
| Time India | Time Germany | ||||||
| 11:30 - 13:00 | 8:00 - 9:30 | Lecture 1 | Peter Bastian | Dirk Pleiter | Konduri Aditya | Dirk Pleiter | Deepak Subramani |
| Introduction & Programming Models | Performance engineering on modern processor architectures | A scalable asynchronous computing method for solving PDEs at extreme scale | Introduction to accelerated HPC architectures | Bayesian Data Assimilation, Inverse Problems and Digital Twins | |||
| Break/Discussions | |||||||
| 13:30 - 15:00 | 10:00 - 11:30 | Lecture 2 | Sashikumaar Ganesan | Peter Bastian | Roland Herzog | Vincent Heuveline | Jakob Zech |
| AI & ML in Scientific Computing: A Boon or a Bane? | Multilevel Spectral Domain Decomposition Methods | Mesh-independent algorithms for optimal control of partial differential equations | Energy-aware numerical methods for CFD | Large-Scale Bayesian Inference: Sparse-grid and Transport methods | |||
| Lunch/Discussions | |||||||
| 16:00 - 17:30 | 12:30 - 14:00 | Lecture 3 | Deepak Subramani | Sashikumaar Ganesan | Robert Scheichl | Praveen Chandrashekar | Phani Motamarri |
| GPU accelerated Optimal Path Planning of Marine Robots | GPU-Accelerated Algebraic Multigrid Implementations | Generalised Multiscale FEs: Efficient Offline/Online HPC Implementation Talk Supplement | Lax-Wendroff flux reconstruction method for convection-dominated problems | Large-scale nonlinear eigenvalue problems on heterogenous parallel architectures | |||
| Break/Discussions | |||||||
| 18:00 - 19:30 | 14:30 - 16:00 | Lecture 4 | Guido Kanschat | 17:00 (german time) Joint Dinner | Robert Scheichl | ||
| Efficient block smoothers in multigrid | Large-Scale Bayesian Inference: Efficient Sampling-Based Approaches |
Mini Projects October 11-15
In the second week the following projects will be organized:
- Vectorization and parallelization of a matrix multiplication kernel on AMD EpycTM 7713
- Performance analysis of the CFD code HiFlow3
- Performance of a tensor train approximation code
- Uncertainty quantification with the code MUQ
Funding
This summer school is funded by German Academic Exchange Service (DAAD) and University Grants Commission (UGC) as part of the Indo-German Partnership Programme.