Track 1 - Programming, Compilers and Performance
Chairs
- Ana Lucia Varbanescu, University of Amsterdam, Netherlands
- João M. P. Cardoso, Universidade do Porto, Portugal
Program Committee
- Siegfried Benkner, University of Vienna
- Carlo Bertolli, AMD
- Jean-Baptiste Besnard, DataDirect Networks
- Walter Binder, University of Lugano
- Bruno Bodin, Yale-NUS College
- Nick Brown, The University of Edinburgh
- Paul Carpenter, Barcelona Supercomputing Center
- Serena Curzel, Politecnico di Milano
- Tom Deakin, University of Bristol
- Johannes Doerfert, LLNL
- Bernhard Egger, Seoul National University
- Stéphane Genaud, Icube - University of Strasbourg
- R Govindarajan, Indian Institute of Science
- Georg Hager, Erlangen Regional Computing Center
- Ivan Ivanov, Tokyo Institute of Technology
- Guoliang Jin, North Carolina State University
- Tobias Kenter, University of Paderborn
- Seyong Lee, Oak Ridge National Laboratory
- Diego R. Llanos, University of Valladolid
- Stefano Markidis, KTH Royal Institute of Technology
- Lucas Mello Schnorr, UFRGS
- Orlando Moreira, ST-Ericsson
- Ivy Peng, KTH Royal Institute of Technology
- Artur Podobas, KTH Royal Institute of Technology
- Cristina Silvano, Politecnico di Milano
- Giuseppe Tagliavini, University of Bologna
- Peter Thoman, University of Innsbruck
- Miwako Tsuji, RIKEN R-CCS
- Pedro Valero-Lara, Oak Ridge National Laboratory
- Hans Vandierendonck, Queen's University Belfast
- Veronica Vergara Larrea, Oak Ridge National Laboratory
- Sotirios Xydis, National Technical University of Athens
Focus
- High level programming models and tools for multi-/many-core and heterogeneous architectures
- Programming environments, interoperable tool environments
- Productivity and performance portability
- Compiling for multithreaded/multi-core and heterogeneous processors/architectures
- Compiling for emerging architectures (low-power accelerator hardware, reconfigurable hardware, processors in memory)
- Iterative, just-in-time, feedback-oriented, dynamic, and machine-learning-based compilation
- Static and dynamic program analysis
- Program transformation systems
- Interaction between compiler, runtime system, hardware, and operating system
- Compiler, run-time, and architectural support for dynamic adaptation
- Compilers for domain-specific languages
- Instrumentation, monitoring, evaluation and prediction of non-functional program behaviour
- Auto-tuning and multi-objective code optimization
- Verification and validation of performance models
- Power consumption modelling and prediction
- Performance modelling and simulation of emerging exascale systems
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