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Embedded systems course, co-located with ASCI conference
May 29, 2017 - June 4, 2017
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A16 – ASCI Spring School on Heterogeneous Computing Systems
From: May 29 to June 1, 2017
The abstracts from all speakers are now available! Please click on the link in the schedule below.
May 29 – June 1, Kontakt der Kontinenten, Soest
| Slot (1-8) | Speakers | Topic |
| Monday May 29: Introduction and examples of heterogeneous computing | ||
| 2 | Gerard Smit (UTwente) | Welcome and introduction |
| 3 | Henk Corporaal (TU/e) +
Andre Kokkeler (UTwente) |
Introduction to Heterogeneous Computing Systems |
| 4 | ||
| 5 | Stephan Wong (TUDelft) | Liquid Computing |
| 6 | Jan Kuper (QBayLogic)
Mark Wijtvliet (TU/e) |
FPGA design from mathematical specifications
Accelarators and coarse grained reconfigurable architectures |
|
7 |
||
| 8 | Mark Wijtvliet, Stephan Wong, Ana Varbanescu | Lab introductions + Handout Questions |
| Tuesday May 30: Code generation and advanced optimizations | ||
| 1 | Roel Jordans (Radboud University) | Compiling and optimization for high performance systems |
| 2 | ||
| 3 | Sven Verdoolaege (Leuven) | High-Level loop Transformations and Polyhedral Compilation |
| 4 | ||
| 5 | Afternoon: Social event | |
| Wednesday May 31: GPU, New languages, and Accelerators, Future systems | ||
| 1 | Ana Varbanescu (UvA) | Heterogeneous computing with GPUs |
| 2 | ||
| 3 | Kees van Berkel (TUE) | Exascale Computing for Radio Astronomy: GPU or FPGA? |
| 4 | Rosilde Corvino (Intel) | Halide tutorials summary and lessons learned from IPU |
| 5 | Maurice Peemen (FEI) | Accelerating Deep Learning Applications |
| 6 | ||
| 7 | ||
| 8 | Said Hamdioui (TUDelft) | Future computer Architectures: Computing in Memory |
| Thursday June 1: DSE, Accelerators, Future Systems, and Student pitch | ||
| 1 | Marco Bekooij (NXP) |
Abstraction-refinement theory for hybrid system design
|
| 2 | ||
| 3 | Carmina Almudever (TUDelft) | WHAT IS QUANTUM COMPUTING ALL ABOUT? |
| 4 | Leandro Fiorin (IBM Research) | Accelerating radio-astronomy algorithms |
| 5
6 |
Akash Kumar (TUDresden) | Approximate Computing, going ultra low power |
| 7
8 |
Students | Pitch presentations on selected topics
Q&A |
