EXADAPT 2012 - 2nd International Workshop on Adaptive Self-Tuning Computing Systems for the Exaflop Era (EXADAPT 2012)

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Category EXADAPT 2012

Deadline: December 02, 2011 | Date: March 03, 2012

Venue/Country: London, U.K.

Updated: 2011-10-24 17:58:59 (GMT+9)

Call For Papers - CFP

The 1st International Workshop on Self-tuning, Large Scale Computing Systems for Exaflop Era is intended to become a regular inter-disciplinary 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.

All papers will be peer-reviewed including short position papers and should include unpublished ideas on how to simplify, automate and standardize the design, programming, optimization and adaptation of large-scale computing systems for multiple objectives to improve performance, power consumption, utilization, reliability and scalability including the following topics:

whole system parameterization and modularization to enable self-tuning across the whole hardware and software stack

transformation space of static, JIT and source-to-source compilers

run-time resource management/scheduling

task/process/thread/data migration

design space of architectures including heterogeneous multi-cores, accelerators, memory hierarchy and IO

propagation and usage of the feedback between various system layers

static and dynamic code and data partitioning/modification for self-tuning

application conversion to support multi-level, hybrid parallelization

modification of existing tools and applications to enable auto-tuning

resource and contention aware scheduling

performance, power and reliability evaluation methodologies

scalable performance evaluation tools

detection, classification, and mitigation of resource contentions

collaborative optimization repositories and benchmarks

characterization of static program constructs

characterization of dynamic program behavior under various system load scenarios

software/hardware co-design and co-optimization

analysis of interactions between different parts of a large application

prediction of optimizations and architectural designs based on prior knowledge

scalable system and processor simulation

hardware support for self-tuning and scheduling

virtualization

fault-tolerance