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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/
------------------------------
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
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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------------------------------
Sensor to Cloud Architectures Workshop (SCAW-2016)
March 13 2016, Barcelona, Spain
Held in conjunction with HPCA-22
http://hpca22.site.ac.upc.edu/
------------------------------
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
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.
******************************
(https://lists.mcs.anl.gov/mai
If you do not remember your password (which is needed to change these options), you can reset it using the "Unsubscribe or Edit Options" button at the bottom of the page.
(https://lists.mcs.anl.gov/mai
hpc-announce-owner@mcs.anl.gov
hpc-announce-owner@mcs.anl.gov
******************************
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