Monday, 9 November 2015

SCAW-2016 held in conjunction with HPCA-2016, Barcelona, March 13 2016




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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@intel.com
Ravi Iyer                                             Intel ravishankar.iyer@intel.com
Murali Emani                               University of Edinburgh memani@inf.ed.ac.uk
Govind Sreekar Shenoy              University of Edinburgh gsreekar@inf.ed.ac.uk <mailto:gsreekar@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.

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