Track 1 - Programming, Compilers and Performance

Chairs

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

Silver Sponsoring

DDN LogoIBM Logo

Bronze Sponsoring

Megware Logo
TU Dresden LogoZIH Logo
Springer logoLNCS Logo