Final Submission Deadline
October 9, 2015

Submitted by Grigori Fursin

6th International Workshop on Adaptive Self-tuning Computing Systems (ADAPT)
co-located with HiPEAC 2016
Prague, Czech Republic
January 18, 2016
ADAPT is an interdisciplinary workshop to discuss and demonstrate practical and
reproducible techniques, methodology and tools that can help convert existing
or future software and hardware into adaptive, scalable and self-tuning
systems. Such systems should be able to automatically improve their
characteristics (execution time, energy usage, size, accuracy, reliability,
bandwidth, adaptation time and memory usage) depending on an application
and its input, available resources, run-time state of the system, and user

ADAPT topics include but are not limited to machine learning based autotuning,
representative benchmarking, real application self-tuning, automatic
performance modelling, self-tuning compilers, automatic bug detection, run-time
adaptation, automatic fault tolerance, dynamic hardware reconfiguration,
predictive scheduling, new programming models, green data centres, adaptive
embedded devices, reproducible experimentation, and optimization knowledge
sharing. You can check out accepted papers from the past ADAPT workshops at:

Based on positive feedback from last year’s edition, we have decided to use
exclusively our new submission and publication model where authors submit
their articles (and artifacts) directly to open ArXiv, we then open a discussion
thread for each paper on Reddit, and eventually let our PC select the most
appropriate ones for presentation.

We hope you will be able to submit a paper and be part of this new experiment.
See our ADAPT website for motivation and further details.

We encourage earlier submissions before the deadline to allow more time
for open discussions!

– Paper submission deadline: 9 October 2015
– End of public discussions: 30 October 2015
– Author notification: 20 November 2015
– Early fees registration: ~15 December 2015

Christophe Dubach, University of Edinburgh (UK)
Grigori Fursin, dividti (UK) / cTuning Foundation (France)