ACM International Conference on Computing Frontiers 2016

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Author Notification

March 11, 2016

Camera-Ready Papers Due

March 25, 2016

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For more information, visit the website at www.computingfrontiers.org

• Keynote 1: Luca Benini
  Sub-PicoJoule per Operation scalable computing - Why, When, How?
• Keynote 2: Maria Girone
  Big Data Analytics and the LHC

Sub-PicoJoule per Operation scalable computing - Why, When, How?

Abstract:
The "internet of everything" envisions trillions of connected objects loaded with high-bandwidth sensors requiring massive amounts of local signal processing, fusion, pattern extraction and classification. From the computational viewpoint, the challenge is formidable and can be addressed only by pushing computing fabrics toward massive parallelism and brain-like energy efficiency levels. CMOS technology can still take us a long way toward this vision. Our recent results with the open-source PULP (parallel ultra-low power) chips demonstrate that pj/OP (GOPS/mW) computational efficiency is within reach in today's 28nm CMOS FDSOI technology. In this talk, I will look at the next 1000x of energy efficiency improvement, which will require heterogeneous 3D integration, mixed-signal, approximate processing and non-Von-Neumann architectures for scalable acceleration.

Bio:
Luca Benini is the chair of digital Circuits and Systems at D-ITET ETHZ and a Professor of Electronics at the Universita' di Bologna.
He has served as Chief Architect for the Platform2012/STHORM project in STmicroelectronics, Grenoble in the period 2009-2013 and has held visiting and consulting researcher positions at EPFL, IMEC, Hewlett-Packard Laboratories, Stanford University.
Dr. Benini's research interests are in energy-efficient digital systems with special emphasis on ultra-low-power System-on-Chip design. He is also active in the area of smart sensors and sensor networks for consumer, biomedical and ambient intelligence applications. On these topics, he has published more than 700 papers in peer-reviewed international journals and conferences, four books and several book chapters.
He has been general chair of the Design Automation and Test in Europe Conference, of the Network on Chip Symposium and of the International Symposium on Low Power Electronics and Design.
He is a Fellow of the IEEE and a member of the Academia Europaea.

Big Data Analytics and the LHC

Abstract:
The Large Hadron Collider is one of the largest and most complicated pieces of scientific apparatus ever constructed. The detectors along the LHC ring see as many as 800 million proton-proton collisions per second. An event in 10 to the 11th power is new physics and there is a hierarchical series of steps to extract a tiny signal from an enormous background. High energy physics (HEP) has long been a driver in managing and pr cessing enormous scientific datasets and the largest scale high throughput computing centers. HEP developed one of the first scientific computing grids that now regularly operates 500k processor cores and half of an exabyte of disk storage located on 5 continents including hundred of connected facilities. In this presentation I will discuss the techniques used to extract scientific discovery from a large and complicated dataset. While HEP has developed many tools and techniques for handling big datasets, there is an increasing desire within the field to make more effective use of additional industry developments. I will discuss some of the ongoing work to adopt industry techniques in big data analytics to improve the discovery potential of the LHC and the effectiveness of the scientists who work on it.

Bio:
Maria Girone graduated from the University of Bari, Italy. She was awarded her Ph.D. in high-energy physics in 1994. Maria became a research fellow with the ALEPH experiment performing analysis and serving as accelerator liaison. Later, Maria developed detector hardware for the LHCb experiment as a research associate at Imperial College London. In 2002, Maria joined the IT Department as an applied scientist and CERN staff member. In 2004, Maria was appointed as section leader and service manager of the Oracle database services for the LHC experiments. In 2009, she was appointed deputy group leader of the CERN IT Experiment Support group and task leader within the EGI-InSPIRE project. In 2012, Maria became the founding chair of the WLCG Operations Coordination team, responsible for the core operations and commissioning of new services in the WLCG. In 2013, she was appointed the Computing Coordinator for the CMS Experiment at CERN. As coordinator, Maria was responsible for 70 computing centres on five continents and more than 100 FTE of effort yearly to archive, simulate, process and serve petabytes of data. In 2015, Maria joined the management team of CERN Openlab, and took over the position of CTO as of January 2016.