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CF 2018: Ischia, Italy
- David R. Kaeli, Miquel Pericàs:
Proceedings of the 15th ACM International Conference on Computing Frontiers, CF 2018, Ischia, Italy, May 08-10, 2018. ACM 2018 - Arvind:
Low-power appliances for big-data analytics using flash storage and hardware accelerators. - Rosa M. Badia:
Programmability versus performance tradeoff: overcoming the hardware challenges from a task-based approach.
Applications
- Luís Pina
, Anastasios Andronidis, Cristian Cadar
FreeDA: deploying incompatible stock dynamic analyses in production via multi-version execution. 1-10 - Cangfeng Ding, Kan Li:
Disease gene identification by walking on multilayer heterogeneous networks. 11-18 - Taban Eslami, Fahad Saeed:
Similarity based classification of ADHD using singular value decomposition. 19-25 - Peng Zhang, Tao Tang, Jianbin Fang
MOCL: an efficient openCL implementation for the matrix-2000 architecture. 26-35 - Miguel de Prado, Maurizio Denna, Luca Benini
QUENN: QUantization engine for low-power neural networks. 36-44 - Smruthi Sridhar, Matthew E. Tolentino:
Evaluating the impact of pushing voice-driven interaction pipelines to the edge. 45-53
Architecture
- Anderson Luiz Sartor, Arthur Francisco Lorenzon, Sandip Kundu, Israel Koren, Antonio C. S. Beck:
Adaptive and polymorphic VLIW processor to optimize fault tolerance, energy consumption, and performance. 54-61 - Burhan Gulbahar, Gorkem Memisoglu
MIComp: 3D on-chip magneto-inductive computing with simultaneous wireless information and power transfer. 62-68 - Shijie Zhou, Rajgopal Kannan, Hanqing Zeng, Viktor K. Prasanna:
An FPGA framework for edge-centric graph processing. 69-77
Memory systems
- Tareq A. Alawneh
A prefetch-aware memory system for data access patterns in multimedia applications. 78-87 - Elvira Teran
Flexible associativity for DRAM caches. 88-96 - Deng Zhou, Wen Pan, Tao Xie, Wei Wang:
A file system bypassing volatile main memory: towards a single-level persistent store. 97-104 - Vasilios I. Kelefouras, Karim Djemame
A methodology for efficient code optimizations and memory management. 105-112 - João Paulo C. de Lima, Paulo C. Santos, Marco A. Z. Alves
Design space exploration for PIM architectures in 3D-stacked memories. 113-120 - Cheng Qian, Libo Huang, Qi Yu, Zhiying Wang, Bruce R. Childers:
CMH: compression management for improving capacity in the hybrid memory cube. 121-128
Miscellaneous
- Pablo Graubner, Patrick Lampe, Jonas Hochst
Opportunistic named functions in disruption-tolerant emergency networks. 129-137 - Zhicheng Hu, Jianqi Shi, Yanhong Huang, Jiawen Xiong, Xiangxing Bu:
GANFuzz: a GAN-based industrial network protocol fuzzing framework. 138-145 - Jing Zhang, Ashwin M. Aji, Michael L. Chu, Hao Wang, Wu-chun Feng:
Taming irregular applications via advanced dynamic parallelism on GPUs. 146-154
Resilience
- Zhiyong Wu, Yongkun Li, Patrick P. C. Lee
Modeling SSD RAID reliability under general settings. 155-164 - Omer Subasi, Sriram Krishnamoorthy:
On the theory of speculative checkpointing: time and energy considerations. 165-172 - Gokcen Kestor, Burcu Ozcelik Mutlu
Comparative analysis of soft-error detection strategies: a case study with iterative methods. 173-182
Security
- Amit Kr Mandal, Agostino Cortesi
Vulnerability analysis of Android auto infotainment apps. 183-190 - Rosario Cammarota, Rami Sheikh:
VPsec: countering fault attacks in general purpose microprocessors with value prediction. 191-199
Short papers
- Anita Aghaie, Mehran Mozaffari Kermani
Comparative realization of error detection schemes for implementations of mixcolumns in lightweight cryptography. 200-203 - Mehran Mozaffari Kermani
Reliable hardware architectures for efficient secure hash functions ECHO and fugue. 204-207 - Timo Malderle, Matthias Wübbeling, Sven Knauer, Arnold Sykosch, Michael Meier
Gathering and analyzing identity leaks for a proactive warning of affected users. 208-211 - Hossein Sayadi, Sai Manoj P. D.
Comprehensive assessment of run-time hardware-supported malware detection using general and ensemble learning. 212-215 - Markos Kynigos, Javier Navaridas
Network-on-chip evaluation for a novel neural architecture. 216-219 - Armin Mehrabian
D3NoC: a dynamic data-driven hybrid photonic plasmonic NoC. 220-223 - Dongqin Zhou, Keni Qiu, Xin Shi, Yongpan Liu:
Dual-threshold directed execution progress maximization for nonvolatile processors. 224-227 - Cosimo Aprile, Johannes Wüthrich, Luca Baldassarre, Yusuf Leblebici, Volkan Cevher
An area and power efficient on-the-fly LBCS transformation for implantable neuronal signal acquisition systems. 228-231 - Daniel Madroñal
Automatic instrumentation of dataflow applications using PAPI. 232-235 - Benjamin A. Bjørnseth, Jan Christian Meyer, Lasse Natvig:
Make software harder. 236-239 - Bishwajit Dutta, Vignesh Adhinarayanan, Wu-chun Feng:
GPU power prediction via ensemble machine learning for DVFS space exploration. 240-243 - George Charitopoulos, Charalampos Vatsolakis, Grigorios Chrysos, Dionisios N. Pnevmatikatos
A decoupled access-execute architecture for reconfigurable accelerators. 244-247 - Engin Kayraklioglu, Tarek A. El-Ghazawi:
APAT: an access pattern analysis tool for distributed arrays. 248-251 - Adnan Haider, Fabio Checconi, Xinyu Que, Lars Schneidenbach, Daniele Buono, Xian-He Sun:
Horizon: a multi-abstraction framework for graph analytics. 252-255 - Rui Ren, Shuai Tian, Lei Wang:
Online anomaly detection framework for spark systems via stage-task behavior modeling. 256-259
Large scale graph analytics
- Manoj Kumar, José E. Moreira, Pratap Pattnaik:
GraphBLAS: handling performance concerns in large graph analytics. 260-267 - E. Jason Riedy:
Streaming graph analysis: new models, new architectures. 268 - John Feo:
A hybrid data model for large-scale analytics. 269
EU/nat. projects
- Cristina Silvano, Gianluca Palermo, Giovanni Agosta, Amir H. Ashouri, Davide Gadioli, Stefano Cherubin
Autotuning and adaptivity in energy efficient HPC systems: the ANTAREX toolbox. 270-275 - Adrián Cristal, Osman S. Unsal, Xavier Martorell, Paul Carpenter, Raúl de la Cruz, Leonardo Bautista-Gomez, Daniel Jiménez-González
LEGaTO: towards energy-efficient, secure, fault-tolerant toolset for heterogeneous computing. 276-278 - Marco Aldinucci
HPC4AI: an AI-on-demand federated platform endeavour. 279-286 - Sai Narasimhamurthy, Nikita Danilov, Sining Wu, Ganesan Umanesan, Steven Wei Der Chien
The SAGE project: a storage centric approach for exascale computing: invited paper. 287-292
Workshop bigDAW 2018
- Giuliano Andrea Pagani, Luca Trani
Data cube and cloud resources as platform for seamless geospatial computation. 293-298 - Anca Ioana Petre, Cosmin Toca, Carmen Patrascu, Mihai Ciuc:
Improving public datasets markings' quality using unsupervised refinement kernels. 299-302 - Andrea Bartolini
The D.A.V.I.D.E. big-data-powered fine-grain power and performance monitoring support. 303-308
Workshop LP-EMS 2018
- Yehya Nasser, Jean-Christophe Prévotet, Maryline Hélard:
Power modeling on FPGA: a neural model for RT-level power estimation. 309-313 - Manuele Rusci, Davide Rossi, Eric Flamand, Massimo Gottardi, Elisabetta Farella, Luca Benini
Always-ON visual node with a hardware-software event-based binarized neural network inference engine. 314-319 - Federico Reghenzani
A constrained extremum-seeking control for CPU thermal management. 320-325 - Andres Gomez
Thermal image-based CNN's for ultra-low power people recognition. 326-331
Workshop MAL-IoT 2018
- Paolo Palmieri
Hash-based signatures for the internet of things: position paper. 332-335 - Liran Lerman, Nikita Veshchikov, Stjepan Picek, Olivier Markowitch:
Higher order side-channel attack resilient S-boxes. 336-341 - Jori Winderickx, An Braeken
Digital signatures and signcryption schemes on embedded devices: a trade-off between computation and storage. 342-347
Workshop SeFuMaL'18
- Shengwei Luo, Chunhui Zhao
Machine learning application for patients activity recognition with pressure sensing in bed. 348-354 - Hendrik Laux
Learning-based indoor localization for industrial applications. 355-362 - Christoph-Alexander Holst
Supporting sensor orchestration in non-stationary environments. 363-370 - Yuling Luo, Qian Lu, Junxiu Liu, Qiang Fu, Jim Harkin, Liam McDaid, Jordi Martínez-Corral, Guillermo Biot-Marí:
Forest fire detection using spiking neural networks. 371-375 - Daniel Hinkelmann, Anke Schmeink, Guido Dartmann
Distributed learning-based state prediction for multi-agent systems with reduced communication effort. 376-380
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