Call for papers

Computing systems are rapidly evolving into heterogeneous machines featuring many processor cores. This leads to a tremendous complexity with an unprecedented number of available design and optimization choices for architectures, applications, compilers and run-time systems. Using outdated, non-adaptive technology results in an enormous waste of expensive computing resources and energy, while slowing down time to market.

The 4th International Workshop on Adaptive Self-tuning Computing Systems is an interdisciplinary forum for researchers, practitioners, developers and application writers to discuss ideas, experience, methodology, applications, practical techniques and tools to improve or change current and future computing systems using self-tuning technology. Such systems should be able to automatically adjust their behavior to multi-objective usage scenarios at all levels (hardware and software) based on empirical, dynamic, iterative, statistical, collective, bio-inspired, machine learning and alternative techniques while fully utilizing available resources.

Organisers / Program chairs

• Christophe Dubach (University of Edinburgh, UK)
• Grigori Fursin (INRIA, France)

Program committee

• Erik Altman (IBM TJ Watson, USA)
• Bruce Childers (University of Pittsburgh, USA)
• Koen De Bosschere (Ghent University, Belgium)
• Marisa Gil (UPC, Spain)
• Mary Hall (University of Utah, USA)
• Timothy Jones (University of Cambridge, UK)
• Anton Lokmotov (ARM, UK)
• Chi-Keung Luk (Intel, USA)
• Tipp Moseley (Google, USA)
• Toshio Nakatani (IBM, Japan)
• Lasse Natvig (NTNU, Norway)
• David Padua (UIUC, USA)
• Aaron Smith (Microsoft Research, USA)
• Juergen Teich (University of Erlangen-Nuremberg, Germany)
• Vittorio Zaccaria (Politecnico di Milano, Italy)