Days: Monday, October 22nd Tuesday, October 23rd Wednesday, October 24th
View this program: with abstractssession overviewtalk overview
- Information, Quantum Mechanics, and the Universe, Jeremy Levy, Pittsburgh Quantum Institute, Pittsburgh PA
- A Gate-Level Approach To Compiling For Quantum Computers, Henry Dietz, University of Kentucky, Lexington KY
- T-count Optimized Quantum Circuits for Bilinear Interpolation, Edgard Munoz-Coreas and Himanshu Thapliyal, University of Kentucky, Lexington KY
HPC Power Stack:
- Boosting Power Efficiency of HPC Applications with GEOPM, Joanthan Eastep, Intel
- PowerStack: Enabling Efficient Power Management through Hierarchical Design, Tapasya Patki, Lawrence Livermore National Laboratory
- An Energy-Aware, Context-Adaptive Security Model for Mobile Devices, Swapnoneel Roy (University of North Florida), Sriram Sankaran (Amrita Vishwa Vidyapeetham, India), Preeti Singh (University of North Florida), Ramalingam Sridhar (University at Buffalo), Asai Asaithambi (University of North Florida)
- Multi-Voltage Domain Power Distribution Network for Optimized Ultra-low Voltage Clock Delivery, Md Shazzad Hossain and Ioannis Savidis (Drexel University)
- Low-cost security measures for energy-efficient three-dimensional computing systems, Zhiming Zhang and Qiaoyan Yu (University of New Hampshire)
- Towards Design Decisions for Genetic Algorithms in Clock Tree Synthesis, Scott Lerner and Baris Taskin (Drexel University)
Power API:
- Power Management with SLURM and Power API, Jeff Hanson, HPE
- Implementing Power API for the Cray XC-series, Matthew Kappel, Cray Inc.
- Silicon Photonics for High Performance Computing: Opportunities and Challenges, Mahdi Nikdast, Colorado State University
- Mitigating the Energy Impacts of VBTI Aging in Photonic Networks-on-Chip Architectures with Multilevel Signaling, Ishan Thakkar, University of Kentucky, and Sudeep Pasricha, Colorado State University
- DiRP: Distributed Intelligent Rendezvous Point for Multicast Control Plane, Ammar Latif (NJIT), Roshini Paul (Cisco Inc.), Rishi Chhibber (Cisco Inc.), Anand Singh (Cisco Inc.) , Rahul Parameswaran (Cisco Inc.), Abdallah Khreishah (NJIT) and Yaser Jararweh (Duquesne University)
- How Much Cache is Enough? A Cache Behavior Analysis for Machine Learning GPU Architectures, Sonia Alarcon, Yash Nimkar, and Gerald Kotas, Rochester Institute of Technology
Panel on Power API Interface:
- Moderator: Ryan E. Grant, Sandia National Laboratories
- Panelists: Jonathan Eastep, Jeff Hanson, Matt Kappel, Tapasya Patki, Andrew Younge
- Holistic Approaches to HPC Power and Workflow Management, Avi Purkayastha and Steven Hammond (National Renewable Energy Laboratory) and Ramkumar Nagappan and Maxim Alt (Intel Corp)
- A systematic Way for Determining CO2 Obligation in Power Systems, Mahdi Rouholamini and Carol J. Miller (Wayne State University)
- A Case Study of Complementary-multiply-with-carry Method on OpenCL FPGA, Zheming Jin and Hal Finkel ( Argonne National Laboratory)
- Evaluating Radial Basis Function Kernel on OpenCL FPGA Platform, Zheming Jin and Hal Finkel ( Argonne National Laboratory)
Roundtable: Community Discussion of Open Source Power Control Software Stacks
- Moderator: Barry Rountree, Lawrence Livermore National Laboratory
- All attendees are welcome to participate
IGSC PhD Forum Posters:
-
Dynamic Data Driven SAR Reconstruction on Hybrid Multicore Systems, Adeesha Wijayasiri (Presenter), Sartaj Sahni, Sanjay Ranka (University of Florida)
-
EFFICIENT REPRESENTATION, MEASUREMENT, AND RECOVERY OF LARGE-SCALE NETWORKS, Gunjan Mahindre (Presenter), Anura Jayasumana (Colorado State University)
-
NoC Router Lifetime Improvement using Per-Port Router Utilization, Scott Lerner (Presenter), Vasil Pano, and Baris Taskin (Drexel University)
-
Strategies for Detecting Correlated Data Streams, Rakan Alseghayer (Presenter), Daniel Petrov, Panos K. Chrysanthis (University of Pittsburgh)
-
Making Cables Disappear: Can Wireless Datacenter be a Reality?, Sayed Ashraf Mamun (presenter), Amlan Ganguly (Rochester Institute of Technology (RIT))
-
Fog Infrastructure and Service Management, Shehenaz Shaik (Presenter), Sanjeev Baskiyar (Auburn University)
-
Noise Constraint Optimum Selection of Supply Voltage for IoT Applications, MD Shazzad Hossain (presenter) and Ioannis Savidis (Drexel University)
-
Facilitating Model–Based Design and Evaluation for Sustainability, Natasha Jarus (Presenter), Sahra Sedigh Sarvestani, and Ali Hurson, (Missouri University of Science and Technology)
-
Thermal and Power management for mobile devices, Sofiane CHETOUI (Brown University)
-
Facilitating Failure Analysis with Software Instrumentation, Brad Ziegler (presenter), Sahra Sedigh-Sarvestani, Ali Hurson (Missouri University of Science and Technology)
-
Machine Learning Attacks on Physical Unclonable Functions, Anugayathiri Pugazhenthi (Presenter), Fatemeh Tehranipoor (San Francisco State University)
-
A Dynamic Programming Technique for Energy-Efficient Multicore Systems, Shervin Hajiamini (speaker), Behrooz Shirazi (Washington State University)
-
Achieving Secure, Reliable, and Sustainable Next Generation Computing Memories, Donald Kline (Presenter), Alex Jones (University of Pittsburgh)
-
Data-Driven User-Aware HVAC Scheduling, Daniel Petrov (presenter), Rakan Alseghayer, Daniel Mosse, Panos K. Chrysanthis (University of Pittsburgh)
View this program: with abstractssession overviewtalk overview
Energy consumption is a key design driver for electronic systems ranging from warehouse-size datacenters to battery-powered mobile devices to mobile clouds. It is well known that energy efficiency is best achieved by an application-specific mix of power-efficient hardware and runtime energy governance. Power efficient hardware requires low power devices, cell libraries, circuits, and architectures whereas effective energy governance needs significant hardware and software support e.g., to achieve dynamic power/performance scaling, power gating, core consolidation, and computation offloading. In my talk I will discuss three example problems to illustrate the range of low power solutions that can be employed and the kind of power savings which are achievable. These problems are: (i) Power-efficient resource management and job scheduling in a geo-distributed cloud infrastructure, (ii) Design of low-power application processors exploiting the temperature effect inversion of deeply scaled devices, and (iii) Energy-efficient computation offloading for deep neural networks in a mobile cloud computing environment. I will conclude my talk with a list of best power-efficient design practices.
10:30 | Dark Silicon Considered Harmful: A Case for Truly Green Computing (Best Paper Nominee) (abstract) |
11:00 | PowerCoord: A Coordinated Power Capping Controller for Multi-CPU/GPU Servers (Best Paper Nominee) (abstract) |
11:30 | Energy and Dependability Enhancement by Dynamic Actuator Derating in Cyber-Physical Systems (abstract) |
10:30 | Multiobjective evaluation and optimization of CMT-bone on Intel Knights Landing (abstract) |
11:00 | Graceful Performance Adaption through Hardware-Software Interaction for Autonomous Battery Management of Multicore Smartphones (abstract) |
11:30 | A Dynamic Programming Technique for Energy-Efficient Multicore Systems (abstract) |
13:30 | Improving Sustainability Through Disturbance Crosstalk Mitigation in Deeply Scaled Phase-change Memory (Best Paper Nominee) (abstract) |
14:00 | An Asymmetric, Energy Efficient One-to-Many Traffic-Aware Wireless Network-in-Package Interconnection Architecture for Multichip Systems (abstract) |
14:30 | Optimizing network efficiency of dataflow architectures through dynamic packet merging (abstract) |
13:30 | Data-Driven User-Aware HVAC Scheduling (abstract) |
14:00 | Wake-Up Radio Impact in Self-Sustainability of Sensor and Actuator Wireless Nodes in Smart Home Applications (abstract) |
14:30 | Comparative Evaluation of Threshold Modelling for Smart Buildings’ Performance Testing (abstract) |
Moderator: Tim Hansen; Panelists:
-
Berk Celik, University of Technology Belfort-Montbeliard (UTBM), “DATAZERO”
-
Jie Li, Clarkson University, “Coordinated Operation and Planning of Data Centers as Microgrid”
-
Timothy M. Hansen, South Dakota State University, “Electricity Market Opportunities for Data Center Virtual Power Plants”
View this program: with abstractssession overviewtalk overview
Always ON always sensing small form factor edge systems for internet of things (IOT) are becoming ubiquitous. Many applications require these tiny devices to be self-powered and maintenance-free. Hence they should be able to harvest energy from available ambient sources and should have low manufacturing cost. Millimeter-scale form factor systems have been developed in academia for the past few years. Small form factor edge systems are becoming commercially available. These systems are essential in today’s cyber physical world. We will introduce the available market and the trends driving this growth in IOT system deployments. That will be followed by typical system requirements for a typical self-powered IOT system. Challenges to realize such a dream IOT system will be discussed. We will present two approaches to system design, namely bottom-up and top-down. An X86-based tiny microcontroller unit (MCU) was designed to enable multiple IOT usages. This MCU followed a bottom-up approach – ultra-low power low cost MCU was designed first and then applied to IOT systems such as smart sensor tag for package tracking. The discussion will introduce another IOT system that followed a top-down usage-driven approach. In this case, an agricultural usage was chosen that required energy harvesting, X86-class edge computing, visual recognition on the edge, secure storage, secure wireless communication and ultra-low power maintenance free operation. An IOT system was architected for this usage and later demonstrated. We will conclude the presentation with comparison of these two distinct approaches to IOT system design.
10:30 | Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments (abstract) |
11:00 | Energy-aware Fault-tolerant Scheduling Scheme based on Intelligent Prediction Model for Cloud Data Center (abstract) |
11:30 | Generator Event Detection from Synchrophasor Data Using a Two-Step Time-Series Machine Learning Algorithm (abstract) |
10:30 | Understanding the sources of power consumption in Mobile SoCs (abstract) |
11:00 | Appliances identification for different electrical signatures using moving average as data preparation (abstract) |
11:30 | Secure Application Continuity in Intermittent Systems (abstract) |
13:30 | Performance and Energy Evaluation of SAR Reconstruction on Intel Knights Landing (abstract) |
14:00 | Near Data Filtering for Distributed Database Systems (abstract) |
14:30 | A Self-Sustaining Micro-Watt Programmable Smart Audio Sensor for Always-On Sensing (abstract) |
13:30 | Practices of Energy Consumption for Sustainable Software Engineering (abstract) |
14:00 | GreenWeb: Hosting High-Load Websites Using Low-Power Servers (abstract) |
14:30 | Data Center Cooling System Integrated with Low-Temperature Desalination and Intelligent Energy-Aware Control (abstract) |
Moderator: Adam Hahn; Panelists:
- Shrirang Abhyankar (Argonne National Laboratory) - HELICS: An open-source transmission-distribution-communication co-simulation platform to assess impacts of large penetration of distributed energy resources
- Martin Burns, (National Institute of Standards and Technology) - Transactive energy challenges and simulation-based abstract components models
- Srinivas Katipamula (Pacific Northwest National Laboratory) - Increasing building energy efficiency through market based transactive control
- Katrina Kelly (University of Pittsburg) - IoT and Sustainability: Using data to quantify and define Community Resilience
Many-core processing platforms are gaining significant interest for a wide range of applications, viz., Internet of Things (IoT), consumer electronics, single-chip cloud computers, supercomputers, defense applications etc. With billions of physical devices interconnected to each other communicating continuously, huge amount of data is expected to be transferred, stored, analyzed and computed. Data centers and servers involved are equipped with many-core processing units which analyze the data, perform arithmetic and logical operations on them, and take decisions based on the results for multiple applications. Since the applications are quite diverse, the demand on compute platform will vary significantly. As it is not feasible to have customized solutions for all different applications, a platform that can be easily modified to suit particular application demands along with optimal power efficiency and robust hardware will be highly desirable. A platform based solution that is optimal, reliable and power-aware to sustain and provide scalability to this trend is proposed in this special session.