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

Go to the registration form here

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
Programming Models for Heterogeneous Parallel Systems 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 Praveen Chandrashekar 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 Lax-Wendroff flux reconstruction method for convection-dominated problems 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 Vincent Heuveline Phani Motamarri
GPU accelerated Optimal Path Planning of Marine Robots GPU-Accelerated Algebraic Multigrid Implementations Generalised Multiscale FEs: Efficient Offline/Online HPC Implementation Energy-aware numerical methods for CFD Large-scale nonlinear eigenvalue problems on heterogenous parallel architectures
Break/Discussions
18:00 - 19:30 14:30 - 16:00 Lecture 4 Guido Kanschat Robert Scheichl
Efficient block smoothers in multigrid Large-Scale Bayesian Inference: Efficient Sampling-Based Approaches

Mini Projects October 11-15

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.

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