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

Govind Sreekar Shenoy gsreekar at inf.ed.ac.uk
Mon Jan 4 04:56:09 CST 2016

                                    Sensor to Cloud Architectures 
Workshop (SCAW-2016)
                                                 March 13 2016, 
Barcelona, Spain
                                                 Held in conjunction 
with HPCA-22

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


    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

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 
       - 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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