Call For Participation: CF18 – Final Program / Early Registration April 13

ACM International Conference on Computing Frontiers 2018 (CF’18)
May 8 – 10, 2018, Ischia, Italy


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.


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


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



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


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

An FPGA Framework for Edge-Centric Graph Processing. Shijie Zhou,
Rajgopal Kannan, Hanqing Zeng and Viktor Prasanna


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


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


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


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


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



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


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


There will be the following four half-day workshops, in parallel to
the main track of the conference:

International Workshop on Big Data Analytics (BigDAW ’18)

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

Malicious Software and Hardware in the Internet of Things (MAL-IoT ’18)

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

4th Workshop on Design of Low Power EMbedded Systems (LP-EMS ’18),

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

Thermal Image-Based CNN’s for Ultra-Low Power People Recognition.
Andres Gomez, Francesco Conti and Luca Benini

Workshop on Sensor Data Fusion and Machine Learning for the Next
Generation of Cyber-Physical Systems (SeFuMAL ’18)

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


For further details and registration, check out our web site at

Early registration ends on April 13, 2018.


Call For Participation: CF18 – Final Program / Early Registration April 13