[hpc-announce] SCAW-2016 held in conjunction with HPCA-2016, Barcelona, March 13 2016

[Govind Sreekar Shenoy]

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                                    Sensor to Cloud Architectures 
Workshop (SCAW-2016)
                                                 March 13 2016, 
Barcelona, Spain
                                                 Held in conjunction 
with HPCA-22
http://hpca22.site.ac.upc.edu/
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Organizing Chairs:

Ramesh Illikkal                                   Intel 
ramesh.g.illikkal at intel.com
Ravi Iyer                                             Intel 
ravishankar.iyer at intel.com
Murali Emani                               University of Edinburgh 
memani at inf.ed.ac.uk
Govind Sreekar Shenoy              University of Edinburgh 
gsreekar at inf.ed.ac.uk <mailto:gsreekar at inf.ed.ac.uk>

Overview:

    The computer industry is witnessing an inflection point - 'Internet 
of Things combined with Cloud
    Analytics' - which has implications from end (sensor devices) to end 
(cloud architectures). Many
    technologies come together contributing to this major inflection 
point: Computing platforms getting
    smaller (e.g. handheld devices, wearables), richer (e.g. image and 
language understanding) and broader
     (i.e. reaching the masses via Internet of Things). Sensors 
operating in constrained environments
    connected through intelligent gateways and cloud backend creates a 
very complex environment for the
    operators, system integrators, and developers of this new emerging 
technology. Discovering and
    managing sensor devices; collecting, cleaning and storing 
discoverable data; normalizing, aggregating
    and analyzing the data for insights and actions; managing the 
security and privacy of the data, enforcing
    the access privileges and trusted execution environments - all these 
are required to make this
    revolution happen.

The research challenges in IoT platforms are multi-fold:
    - providing rich functionality and wider power/performance range for 
sensor devices
    - attempting to cover a broad range of applications that can be 
migrated from cloud to gateways and
          sensor devices,
    - enabling a scalable and modular cloud architecture that provides 
the required real-time and uptime
         capabilities and
    - providing a rich software programming environment that eases the 
challenge of developing
        applications on end to end platforms consisting of elements 
ranging from sensors to gateways to
        cloud.

The goal of this workshop is to bring together academic researchers and 
industry practitioners to discuss
future IoT sensor-to- cloud architectures including sensors, gateways 
and cloud architectures.

Interested authors are encouraged to submit extended abstracts (1-2 
pages) or short papers (6 pages).
Topics include, but are not restricted to, the following:

    Sensors, Actuators, Gateway & Controllers Architectures:
       - Architectures for wearable and IOT devices
       - Heterogeneity in Cores, Frequency, Cache, Memory
       - Power, Performance, Energy optimizations
       - SoCs, CPU/GPU, CPU/GPGPU architectures
       - Ultra-Low Power Core Micro-architectures
       - Fabrics / Network-on-chip, Cache/Memory Hierarchies
       - HW Support for Heterogeneity, Programmability, Modularity
       - Simulation / Emulation Methodologies
       - Protocols and abstraction layers (MQTT, CoAP, REST)

    Cloud Architecture:
       - Data Center Architectures for IoT; customization and specialization
       - Edge/Fog computing ? Dynamic Cloud-gateway-device offloads
       - Workload/Algorithm  Partitioning between Heterogeneous Cores 
and Accelerators
       - BigData Frameworks (Hadoop, Spark, Flink, ...)
       - Heterogeneous Datacenters (FPGA, GPU, Accelerators)
       - Machine Learning Algorithms & Applications, Graph processing, 
Deep Neural Networks
       - Batch, streaming and distributed Analytics
       - Design Patterns and Application Programming frameworks

    Emerging Workloads and Use cases:
       - Wearable and IOT use cases and workloads
       - Speech/Image recognition and understanding, Cognitive computing
       - Personal Assistants, Predictive/Prescriptive Analytics, Robotics
       - Workload Analysis for power/performance/energy optimization and 
acceleration
       - Performance Monitoring and Simulation, Architecture analysis

    Novel Accelerator Designs:
       - Specialized Accelerator Architectures and Designs
       - Machine Learning, Neural Network and Graph Processing accelerators
       - Domain-Specific Programmable/Configurable Accelerators
       - Accelerator Interfaces for Programmability
       - Development Environments for Accelerator Design

Submission Guidelines:
    Interested authors are encouraged to submit extended abstracts (1 - 
2 pages) or short papers (6 pages)
    by email to the organizing chairs. The deadline for submission is 
January 8, 2016. Final (short) papers will
    be due on February 19, 2016 and will be printed in a workshop 
proceedings made available to the
    workshop attendees.

Important Dates:
     Abstract/Paper submission:          January 8, 2016 23:59 PST
     Author Notification:                      January 18, 2016
     Final Paper Submission:              February 19, 2016
     Workshop:                                  March 13, 2016

-- 
The University of Edinburgh is a charitable body, registered in
Scotland, with registration number SC005336.