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CODES+ISSS 2017: Seoul, Republic of Korea
- Proceedings of the Twelfth IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis Companion, CODES+ISSS 2017, Seoul, Republic of Korea, October 15-20, 2017. ACM 2017, ISBN 978-1-4503-5185-0
- Forrest N. Iandola, Kurt Keutzer:
Small neural nets are beautiful: enabling embedded systems with small deep-neural-network architectures. 1:1-1:10 - Xue-Yang Zhu
:
A unified framework for throughput analysis of synchronous data flow graphs under memory constraints: work-in-progress. 2:1-2:2 - Qiao Li
A PV aware data placement scheme for read performance improvement on LDPC based flash memory: work-in-progress. 3:1-3:2 - Bryan Donyanavard, Amir Mahdi Hosseini Monazzah
Exploring fast and slow memories in HMP core types: work-in-progress. 4:1-4:2 - Yue Zhu, Fei Wu, Qin Xiong, Changsheng Xie:
Alert-and-transfer: an evolutionary architecture for SSD-based storage systems. 5:1-5:2 - Hamid Nejatollahi
Trends, challenges and needs for lattice-based cryptography implementations: special session. 6:1-6:3 - Elizabeth O'Sullivan, Francesco Regazzoni
Efficient arithmetic for lattice-based cryptography: special session paper. 7:1-7:3 - Nina Bindel
Hampering fault attacks against lattice-based signature schemes: countermeasures and their efficiency (special session). 8:1-8:3 - Alessandro Danese, Graziano Pravadelli
DOVE: pinpointing firmware security vulnerabilities via symbolic control flow assertion mining (work-in-progress). 9:1-9:2 - Fatih Karabacak, Ümit Y. Ogras
Remote detection of unauthorized activity via spectral analysis: work-in-progress. 10:1-10:2 - Weichen Liu
Communication optimization for thermal reliable many-core systems: work-in-progress. 11:1-11:2 - Festus Hategekimana, Christophe Bobda:
Towards the application of flask security architecture to SoC design: work-in-progress. 12:1-12:2 - Omayma Matoussi, Frédéric Pétrot:
IR-level annotation strategy dealing with aggressive loop optimizations for performance estimation in native simulation: work-in-progress. 13:1-13:2 - Arman Iranfar, Marina Zapater
A machine learning-based approach for power and thermal management of next-generation video coding on MPSoCs: work-in-progress. 14:1-14:2 - Korosh Vatanparvar, Sina Faezi, Igor Burago, Marco Levorato, Mohammad Abdullah Al Faruque
Driving behavior modeling and estimation for battery optimization in electric vehicles: work-in-progress. 15:1-15:2 - Lei Gong, Chao Wang, Xi Li, Huaping Chen, Xuehai Zhou:
A power-efficient and high performance FPGA accelerator for convolutional neural networks: work-in-progress. 16:1-16:2 - M. Naghashi, Sayyed Hasan Mozafari, Shaahin Hessabi:
Heterogeneous redundancy to address performance and cost in multi-core SIMT: work-in-progress. 17:1-17:2 - Hantao Huang, Suleman Khalid Rai, Wenye Liu, Hao Yu:
A fast online sequential learning accelerator for IoT network intrusion detection: work-in-progress. 18:1-18:2 - Keni Qiu, Zhiyao Gong, Dongqin Zhou, Weiwen Chen, Yongpan Liu:
Retention state-aware energy management for efficient nonvolatile processors: work-in-progress. 23:1-23:2 - Sudeep Pasricha, Janardhan Rao Doppa, Krishnendu Chakrabarty
Data analytics enables energy-efficiency and robustness: from mobile to manycores, datacenters, and networks (special session paper). 27:1-27:10 - Dave Burke, Dainius Jenkus, Issa Qiqieh
Significance-driven adaptive approximate computing for energy-efficient image processing applications: special session paper. 28:1-28:2 - William Hwang, Mohamed M. Sabry Aly, Yash H. Malviya, Mingyu Gao, Tony F. Wu, Christos Kozyrakis, H.-S. Philip Wong, Subhasish Mitra
3D nanosystems enable embedded abundant-data computing: special session paper. 29:1-29:2 - Thierry Moreau, Felipe Augusto, Patrick Howe, Armin Alaghi, Luis Ceze:
Exploiting quality-energy tradeoffs with arbitrary quantization: special session paper. 30:1-30:2 - Honglan Jiang, Leibo Liu
An efficient hardware design for cerebellar models using approximate circuits: special session paper. 31:1-31:2
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