Call For Participation: CF18 – Final Program / Early Registration April 13
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ACM International Conference on Computing Frontiers 2018 (CF’18)
May 8 – 10, 2018, Ischia, Italy
CALL FOR PARTICIPATION
www.computingfrontiers.org
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EXTENDED Early Registration Deadline: April 13, 2018
The ACM International Conference on Computing Frontiers 2018 will be
held May 8 – 10 in Ischia, Italy. Computing Frontiers is an eclectic,
collaborative community of researchers who investigate emerging
technologies in the broad field of computing: our common goal is to
drive the scientific breakthroughs that transform society. Technology
is experiencing revolutions in memory devices and systems, networks,
electronic device production, machine learning, data analytics, cloud
computing, techniques to improve power and energy efficiency, systems
portability/wearability, to name but a few areas. New application
domains that affect everyday life are emerging, especially in the era
of highly interconnected and collaborative cyber-physical systems.
Boundaries between the state-of-the-art and revolutionary innovation
constitute the frontiers that mark the advances of science,
engineering, and information technology.
FINAL PROGRAM
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ACM Computing Froniers 2018 runs for 3 days. See our website
for the exact schedule. For the papers to be presented in the
various sessions and workshops, see below.
We will have
– two keynotes, a panel,
– 8 technical sessions (some topics below split into 2 sessions)
– 2 short paper sessions associated with a poster session,
– special sessions on large graph analytics and EU projects,
– 4 half-day workshops in parallel to the main track
KEYNOTES
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We are pleased to announce the following keynote talks.
Arvind (CSAIL, MIT): Low-Power Appliances for Big-Data Analytics Using
Flash Storage and Hardware Accelerators
Rosa M. Badia (Barcelona Supercomputing Center): Programmability
versus Performance Tradeoff: Overcoming the Hardware Challenges from
a Task-Based Approach
TECHNICAL SESSIONS
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APPLICATIONS
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FreeDA: Deploying Incompatible Stock Dynamic Analyses in Production
via Multi-Version Execution. Luís Pina, Anastasios Andronidis, and
Cristian Cadar
Disease gene identification by walking on multilayer heterogeneous
networks. Cangfeng Ding and Kan Li
Similarity based classification of ADHD using Singular Value
Decomposition. Taban Eslami and Fahad Saeed
MOCL: An Efficient OpenCL Implementation for the Matrix-2000
Architecture. Peng Zhang, Jianbin Fang, Canqun Yang, Tao Tang, Chun
Huang and Zheng Wang
QUENN: QUantization Engine for low-power Neural Networks. Miguel de
Prado Escudero, Maurizio Denna, Luca Benini and Nuria Pazos
Evaluating the Impact of Pushing Voice-Driven Interaction Pipelines to
the Edge. Smruthi Sridhar and Matthew E. Tolentino
ARCHITECTURE
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Adaptive and Polymorphic VLIW Processor to Optimize Fault Tolerance,
Energy Consumption, and Performance. Anderson Luiz Sartor, Arthur
F. Lorenzon, Sandip Kundu, Israel Koren and Antonio Carlos S. Beck
MIComp: 3D On-chip Magneto-Inductive Computing with Simultaneous
Wireless Information and Power Transfer. Burhan Gulbahar and Gorkem
Memisoglu
An FPGA Framework for Edge-Centric Graph Processing. Shijie Zhou,
Rajgopal Kannan, Hanqing Zeng and Viktor Prasanna
MEMORY SYSTEMS
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A Prefetch-Aware Memory System for Data Access Patterns in Multimedia
Applications. Tareq Alawneh and Ahmed Elhossini
Flexible Associativity for DRAM Caches. Elvira Teran, Zeshan Chishti,
Zhe Wang, Chris Wilkerson and Daniel A. Jimenez
A File System Bypassing Volatile Main Memory: Towards A Single-Level
Persistent Store. Deng Zhou, Wen Pan, Tao Xie and Wei Wang
A methodology for efficient code optimizations and memory management.
Vasilis Kelefouras and Karim Djemame
Design space exploration for PIM architectures in 3D-stacked memories.
Joýo P. C. Lima, Paulo C. Santos, Marco A. Z. Alves, Antonio
C. S. Beck and Luigi Carro
CMH: Compression Management for Improving Capacity in the Hybrid
Memory Cube. Cheng Qian, Bruce Childers, Libo Huang, Qi Yu and
Zhiying Wang
RESILIENCE
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Modeling SSD RAID Reliability under General Settings. Zhiyong Wu,
Yongkun Li, Patrick P. C. Lee and Yinlong Xu
On The Theory of Speculative Checkpointing: Time and Energy
Considerations. Omer Subasi and Sriram Krishnamoorthy
Comparative Analysis of Soft-Error Detection Strategies: A Case Study
with Iterative Methods. Gokcen Kestor, Burcu Ozcelik Mutlu, Joseph
Manzano, Omer Subasi, Osman Unsal and Sriram Krishnamoorthy
SECURITY
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Vulnerability Analysis of Android Auto Infotainment Apps. Amit
Mandal, Agostino Cortesi, Pietro Ferrara, Federica Panarotto and
Fausto Spoto
VPsec: Countering Fault Attacks in General Purpose Microprocessors
with Value Prediction. Rosario Cammarota and Rami Sheikh
MISCELLANEOUS
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Opportunistic Named Functions in Disruption-tolerant Emergency
Networks. Pablo Graubner, Patrick Lampe, Jonas Höchst, Lars
Baumgärtner, Mira Mezini and Bernd Freisleben
GANFuzz: A GAN-based industrial network protocol fuzzing framework.
Zhicheng Hu, Jianqi Shi, Yanhong Huang, Jiawen Xiong and Xiangxing Bu
Taming Irregular Applications via Advanced Dynamic Parallelism on
GPUs. Jing Zhang, Ashwin Aji, Michael Chu, Hao Wang and Wu-Chun Feng
SHORT PAPERS AND POSTERS
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Comparative Realization of Error Detection Schemes for Implementations
of MixColumns in Lightweight Cryptography. Anita Aghaie, Mehran
Mozaffari Kermani and Reza Azarderakhsh
Reliable Hardware Architectures for Efficient Secure Hash Functions
ECHO and Fugue. Mehran Mozaffari Kermani, Reza Azarderakhsh and
Siavash Bayat-Sarmadi
Gathering and Analyzing Identity Leaks for a proactive Warning of
affected Users. Timo Malderle, Matthias Wübbeling, Sven Knauer and
Michael Meier
Comprehensive Assessment of Run-Time Hardware-Supported Malware
Detection Using General and Ensemble Learning. Hossein Sayadi, Sai
Manoj Pudukotai Dinakarrao, Setareh Rafatirad and Houman Homayoun
Network-on-Chip Evaluation for a Novel Neural Architecture. Markos
Kynigos, Javier Navaridas, Luis Plana and Steve Furber
D3NOC: A Dynamic Data-Driven Hybrid Photonic Plasmonic NoC. Armin
Mehrabian, Shuai Sun, Vikram Narayana, Jeff Anderson, Jiaxin Peng,
Volker Sorger and Tarek El-Ghazawi
Dual-Threshold Directed Execution Progress Maximization for
Nonvolatile Processors. Dongqin Zhou, Keni Qiu and Yongpan Liu
An area and power efficient on-the-fly LBCS transformation for
implantable neuronal signal acquisition systems. Cosimo Aprile,
Johannes Wüthrich, Luca Baldassarre, Yusuf Leblebici and Volkan Cevher
Automatic Instrumentation of Dataflow Application using PAPI. Daniel
Madroñal, Raquel Lazcano, Antoine Morvan, Ruben Salvador, Karol
Desnos, Eduardo Juarez and Cesar Sanz
Make Software Harder. Benjamin Andreassen Bjørnseth, Jan Christian
Meyer and Lasse Natvig
GPU Power Prediction via Ensemble Machine Learning for DVFS Space
Exploration. Bishwajit Dutta, Vignesh Adhinarayanan and Wu-Chun Feng
A Decoupled Access-Execute Architecture for Reconfigurable
Accelerators. George Charitopoulos, Charalampos Vatsolakis, Grigorios
Chrysos and Dionisios Pnevmatikatos
APAT: An Access Pattern Analysis Tool For Distributed Arrays. Engin
Kayraklioglu and Tarek El-Ghazawi
Horizon: A Multi-abstraction Framework for Graph Analytics. Adnan
Haider, Fabio Checconi, Xinyu Que, Lars Schneidenbach, Daniele Buono
and Xian-He Sun
Online Anomaly Detection Framework for Spark Systems via Stage-Task
Behavior Modeling. Rui Ren, Shuai Tian, Jianfeng Zhan and Lei Wang
RRPNN:Review Rating Prediction Neural Network with Distributed
Representation of Users and Products. Weilin Liu
SPECIAL SESSIONS
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LARGE SCALE GRAPH ANALYTICS
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GraphBLAS: Handling performance concerns in large graph analytics.
Manoj Kumar
Streaming Graph Analysis: New Models, New Architectures. Jason Riedy
A Hybrid Data Model for Large-Scale Analytics. John Feo
EUROPEAN AND NATIONAL PROJECTS
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Autotuning and Adaptivity in Energy Efficient HPC Systems: The ANTAREX
toolbox. Gianluca Palermo
LEGaTO Project: Towards Energy-Efficient, Secure, Fault-tolerant
Toolset for Heterogeneous Computing. Osman Unsal, Adrián Cristal
HPC4AI: an AI-on-demand federated platform endeavor. Marco Aldinucci
The SAGE Project: a Storage Centric Approach for Exascale Computing.
Stefano Markidis
WORKSHOPS
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There will be the following four half-day workshops, in parallel to
the main track of the conference:
WORKSHOP 1
International Workshop on Big Data Analytics (BigDAW ’18)
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Data cube and cloud resources as platform for seamless geospatial
computation. Giuliano Andrea Pagani and Luca Trani
Improving Public Datasets Markings’ Quality using Unsupervised
Refinement Kernels. Anca Ioana Petre, Cosmin Toca, Carmen Patrascu
and Mihai Ciuc
The D.A.V.I.D.E. Big-Data-Powered Fine-Grain Power and Performance
Monitoring Support. Andrea Bartolini, Andrea Borghesi, Antonio Libri,
Francesco Beneventi, Daniele Gregori, Simone Tinti, Cosimo Gianfreda
and Piero Altoe
WORKSHOP 2
Malicious Software and Hardware in the Internet of Things (MAL-IoT ’18)
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Hash-based signatures for the Internet of Things. Paolo Palmieri
Higher Order Side-Channel Attacks Resilient S-boxes. Liran Lerman,
Stjepan Picek, Nikita Veshchikov and Olivier Markowitch
Digital Signatures and Signcryption Schemes on Embedded Devices: a
Trade-off between Computation and Storage. Jori Winderickx, An
Braeken, Dave Singelée, Roel Peeters, Thijs Vandenryt, Ronald Thoelen
and Nele Mentens
WORKSHOP 3
4th Workshop on Design of Low Power EMbedded Systems (LP-EMS ’18),
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Power Modeling on FPGA: A Neural Model for RT-Level Power Estimation.
Yehya Nasser, Jean-Christophe Prevotet and Maryline Helard
Always-ON Visual node with a Hardware-Software Event-Based Binarized
Neural Network Inference Engine. Manuele Rusci, Davide Rossi, Eric
Flamand, Massimo Gottardi, Elisabetta Farella and Luca Benini
A constrained extremum-seeking control for CPU thermal management.
Federico Reghenzani, Simone Formentin, Giuseppe Massari and William
Fornaciari
Thermal Image-Based CNN’s for Ultra-Low Power People Recognition.
Andres Gomez, Francesco Conti and Luca Benini
WORKSHOP 4
Workshop on Sensor Data Fusion and Machine Learning for the Next
Generation of Cyber-Physical Systems (SeFuMAL ’18)
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Machine Learning Application for Patients Activity Recognition with
Pressure Sensing in Bed. Shengwei Luo, Chunhui Zhao, Limin Lu and
Yongji Fu
Learning-Based Indoor Localization for Industrial Applications.
Hendrik Laux, Andreas Bytyn, Gerd Ascheid, Anke Schmeink, Gunes
Karabulut Kurt and Guido Dartmann
Supporting Sensor Orchestration in Non-Stationary Environments.
Christoph-Alexander Holst and Volker Lohweg
Forest Fire Detection using Spiking Neural Networks. Yuling Luo, Qian
Lu, Junxiu Liu, Qiang Fu, Jim Harkin, Mcdaid Liam, Jordi
Martínez-Corral and Guillermo Biot-Marí
Distributed learning-based state prediction for multi-agent systems
with reduced communication effort. Daniel Hinkelmann, Anke Schmeink
and Guido Dartmann
FURTHER INFORMATION
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For further details and registration, check out our web site at
http://computingfrontiers.org
Early registration ends on April 13, 2018.