SEAK: DAC Workshop on Suite of Embedded Applications and Kernels
http://hpc.pnl.gov/projects/SEAK/
Workshop held in conjunction with DAC - Design Automation Conference
http://www.dac.com
Sunday, June 1 2014
Moscone Center
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Call for Posters
Evaluating, benchmarking and classifying embedded systems are challenging tasks. By definition, an embedded system is application specific. Furthermore, an embedded system is designed to fit within certain constraints dictated by their target application areas. Aspects such as power consumption, real time awareness, reliability, accuracy of the computation, cost, device and physical size are all metrics under which an embedded system can be classified and that have a direct influence on the overall system performance. All these contrasting metrics define how well an embedded system can address its target application. An additional challenge derives from the fact that modern embedded systems are composed of a multitude of heterogeneous processing elements and components. They include general-purpose processors, digital signal processors, graphic processors, application specific accelerators, reconfigurable logic and more. These components can be either off-the-shelf or custom designed. Embedded systems often present disparate types of memory hierarchies. Also the software toolchain, which includes compilers, synthesizers and optimization tools, may have significant impacts on the metrics.
This workshop is related to a new DARPA initiative in this arena called SEAK (Suite of Embedded Applications and Kernels), whose goal is to define a new, open suite of benchmarks, together with a novel methodology to evaluate in terms of performance and power end-to-end embedded systems for DOD’s application areas.
The SEAK workshop solicits short abstracts for a poster session, open to academia and industry. Areas of particular interest for this assembly are research topics that identify and analyze novel ideas, rather than providing incremental advances, on the following themes:
* Benchmark and micro-benchmark creation, analysis, and evaluation issues
* Characterization of relevant workloads for embedded systems
* Modeling of application and system behavior
* Tools for analyzing power and energy with different granularities and scope from hardware (e.g. component, core, system) or software views (e.g. threads, tasks, processes, etc) or both (end-to-end systems)
* Definition, identification of metrics that determine the suitability of an embedded system for its target applications, and their collection methodologies
* Characterization of current state-of-the art embedded systems in terms of power and performance
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Confirmed invited speakers for the workshop include: Joseph Cross (DARPA), Richard Lethin (Reservoir Labs), Jeffrey Smith (BAE Systems), Sek Chai (SRI International), Markus Levy (EEEMBC).
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Important dates
Abstract submission: 22 April 2014 (EXTENDED)
Notification of Acceptance: 30 April 2014 (EXTENDED)
Workshop: 1 June 2014
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Abstract submission guidelines
Submission site: https://www.easychair.org/conferences/?conf=seak2014
All submissions should be maximum 2 pages in double-column, single-spaced letter format, using 10-point size fonts, with at least one-inch margins on each side, including references. The submission can also include a draft of the poster as an additional page.
Authors of accepted abstracts will be given a poster board for presenting their work at the workshop.
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Organizers
Adolfy Hoisie, PNNL, USA
Darren Kerbyson, PNNL, USA
Joseph Cross, DARPA, USA
Program Chair
Antonino Tumeo, PNNL, USA
Program Committee
Kevin Barker, PNNL, USA
Simone Campanoni, Harvard University, USA
Sek Chai, SRI International, USA
Roberto Gioiosa, PNNL, USA
Richard Lethin, Reservoir Labs, USA
Martina Maggio, Lund University, Sweden
Joseph Manzano, PNNL, USA
Andres Marquez, PNNL, USA
David Novo Bruna, EPFL, Switzerland
Francesco Regazzoni, Alari, Switzerland
Simone Secchi, ARM, UK
Jeffrey Smith, BAE Systems, USA
Shuaiwen Song, PNNL, USA
Nathan Tallent, PNNL, USA
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Best Regards,
Antonino Tumeo
Research Scientist
High Performance Computing
Pacific Northwest National Laboratory
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