• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 61 matches

• 2021
• 
  Yuntao Liu, Michael Zuzak, Yang Xie, Abhishek Chakraborty, Ankur Srivastava:
  Robust and Attack Resilient Logic Locking with a High Application-Level Impact. ACM J. Emerg. Technol. Comput. Syst. 17(3): 37:1-37:22 (2021)
• 
  Shashank Adavally, Mahzabeen Islam, Krishna Kavi:
  Dynamically Adapting Page Migration Policies Based on Applications' Memory Access Behaviors. ACM J. Emerg. Technol. Comput. Syst. 17(2): 16:1-16:24 (2021)
• 
  Md Musabbir Adnan, Sagarvarma Sayyaparaju, Samuel D. Brown, Mst Shamim Ara Shawkat, Catherine D. Schuman, Garrett S. Rose:
  Design of a Robust Memristive Spiking Neuromorphic System with Unsupervised Learning in Hardware. ACM J. Emerg. Technol. Comput. Syst. 17(4): 56:1-56:26 (2021)
• 
  Manaar Alam, Sarani Bhattacharya, Debdeep Mukhopadhyay:
  Victims Can Be Saviors: A Machine Learning-based Detection for Micro-Architectural Side-Channel Attacks. ACM J. Emerg. Technol. Comput. Syst. 17(2): 14:1-14:31 (2021)
• 
  Qutaiba Alasad, Jie Lin, Jiann-Shuin Yuan, Deliang Fan, Amro Awad:
  Resilient and Secure Hardware Devices Using ASL. ACM J. Emerg. Technol. Comput. Syst. 17(2): 11:1-11:26 (2021)
• 
  K. A. Asha, Li En Hsu, Abhishek Patyal, Hung-Ming Chen:
  Improving the Quality of FPGA RO-PUF by Principal Component Analysis (PCA). ACM J. Emerg. Technol. Comput. Syst. 17(3): 34:1-34:25 (2021)
• 
  Alexis Asseman, Nicolas Antoine, Ahmet S. Ozcan:
  Accelerating Deep Neuroevolution on Distributed FPGAs for Reinforcement Learning Problems. ACM J. Emerg. Technol. Comput. Syst. 17(2): 21:1-21:17 (2021)
• 
  Michiel Van Beirendonck, Jan-Pieter D'Anvers, Angshuman Karmakar, Josep Balasch, Ingrid Verbauwhede:
  A Side-Channel-Resistant Implementation of SABER. ACM J. Emerg. Technol. Comput. Syst. 17(2): 10:1-10:26 (2021)
• 
  Lauren Biernacki, Mark Gallagher, Zhixing Xu, Misiker Tadesse Aga, Austin Harris, Shijia Wei, Mohit Tiwari, Baris Kasikci, Sharad Malik, Todd M. Austin:
  Software-driven Security Attacks: From Vulnerability Sources to Durable Hardware Defenses. ACM J. Emerg. Technol. Comput. Syst. 17(3): 42:1-42:38 (2021)
• 
  Saman Biookaghazadeh, Pravin Kumar Ravi, Ming Zhao:
  Toward Multi-FPGA Acceleration of the Neural Networks. ACM J. Emerg. Technol. Comput. Syst. 17(2): 25:1-25:23 (2021)
• 
  Ulbert J. Botero, Ronald Wilson, Hangwei Lu, Mir Tanjidur Rahman, Mukhil A. Mallaiyan, Fatemeh Ganji, Navid Asadizanjani, Mark M. Tehranipoor, Damon L. Woodard, Domenic Forte:
  Hardware Trust and Assurance through Reverse Engineering: A Tutorial and Outlook from Image Analysis and Machine Learning Perspectives. ACM J. Emerg. Technol. Comput. Syst. 17(4): 62:1-62:53 (2021)
• 
  Eros Camacho-Ruiz, Santiago Sánchez-Solano, Piedad Brox, Macarena C. Martínez-Rodríguez:
  Timing-Optimized Hardware Implementation to Accelerate Polynomial Multiplication in the NTRU Algorithm. ACM J. Emerg. Technol. Comput. Syst. 17(3): 35:1-35:16 (2021)
• 
  Anwesha Chatterjee, Shouvik Musavvir, Ryan Gary Kim, Janardhan Rao Doppa, Partha Pratim Pande:
  Power Management of Monolithic 3D Manycore Chips with Inter-tier Process Variations. ACM J. Emerg. Technol. Comput. Syst. 17(2): 13:1-13:19 (2021)
• 
  Yiran Chen, Qinru Qiu, Yingyan Lin:
  Introduction of Special Issue on Hardware and Algorithms for Efficient Machine Learning-Part 1. ACM J. Emerg. Technol. Comput. Syst. 17(2): 18:1-18:2 (2021)
• 
  Yiran Chen, Qinru Qiu, Yingyan Lin:
  Introduction to the Special Issue on Hardware and Algorithms for Efficient Machine Learning - Part 2. ACM J. Emerg. Technol. Comput. Syst. 17(4): 45:1-45:2 (2021)
• 
  Wentao Chen, Hailong Qiu, Jian Zhuang, Chutong Zhang, Yu Hu, Qing Lu, Tianchen Wang, Yiyu Shi, Meiping Huang, Xiaowei Xu:
  Quantization of Deep Neural Networks for Accurate Edge Computing. ACM J. Emerg. Technol. Comput. Syst. 17(4): 54:1-54:11 (2021)
• 
  Dharanidhar Dang, Sai Vineel Reddy Chittamuru, Sudeep Pasricha, Rabi N. Mahapatra, Debashis Sahoo:
  BPLight-CNN: A Photonics-Based Backpropagation Accelerator for Deep Learning. ACM J. Emerg. Technol. Comput. Syst. 17(4): 49:1-49:26 (2021)
• 
  Palash Das, Hemangee K. Kapoor:
  CLU: A Near-Memory Accelerator Exploiting the Parallelism in Convolutional Neural Networks. ACM J. Emerg. Technol. Comput. Syst. 17(2): 22:1-22:25 (2021)
• 
  Sumon Dey, Lee Baker, Joshua Schabel, Weifu Li, Paul D. Franzon:
  A Scalable Cluster-based Hierarchical Hardware Accelerator for a Cortically Inspired Algorithm. ACM J. Emerg. Technol. Comput. Syst. 17(4): 52:1-52:29 (2021)
• 
  Tapobrata Dhar, Surajit Kumar Roy, Chandan Giri:
  Hardware Trojan Horse Detection through Improved Switching of Dormant Nets. ACM J. Emerg. Technol. Comput. Syst. 17(3): 33:1-33:22 (2021)
• 
  Adi Eliahu, Ronny Ronen, Pierre-Emmanuel Gaillardon, Shahar Kvatinsky:
  multiPULPly: A Multiplication Engine for Accelerating Neural Networks on Ultra-low-power Architectures. ACM J. Emerg. Technol. Comput. Syst. 17(2): 24:1-24:27 (2021)
• 
  Domenic Forte, Debdeep Mukhopadhyay, Ilia Polian, Yunsi Fei, Rosario Cammarota:
  Introduction to the Special Issue on Emerging Challenges and Solutions in Hardware Security. ACM J. Emerg. Technol. Comput. Syst. 17(3): 29:1-29:4 (2021)
• 
  Victor M. Gan, Yibin Liang, Lianjun Li, Lingjia Liu, Yang Yi:
  A Cost-Efficient Digital ESN Architecture on FPGA for OFDM Symbol Detection. ACM J. Emerg. Technol. Comput. Syst. 17(4): 47:1-47:15 (2021)
• 
  Shijun Gong, Jiajun Li, Wenyan Lu, Guihai Yan, Xiaowei Li:
  ShuntFlowPlus: An Efficient and Scalable Dataflow Accelerator Architecture for Stream Applications. ACM J. Emerg. Technol. Comput. Syst. 17(4): 59:1-59:24 (2021)
• 
  Chuliang Guo, Li Zhang, Xian Zhou, Grace Li Zhang, Bing Li, Weikang Qian, Xunzhao Yin, Cheng Zhuo:
  A Reconfigurable Multiplier for Signed Multiplications with Asymmetric Bit-Widths. ACM J. Emerg. Technol. Comput. Syst. 17(4): 48:1-48:16 (2021)
• 
  Noor Ahmad Hazari, Ahmed Oun, Mohammed Y. Niamat:
  Machine Learning Vulnerability Analysis of FPGA-based Ring Oscillator PUFs and Counter Measures. ACM J. Emerg. Technol. Comput. Syst. 17(3): 36:1-36:20 (2021)
• 
  Morteza Hosseini, Tinoosh Mohsenin:
  Binary Precision Neural Network Manycore Accelerator. ACM J. Emerg. Technol. Comput. Syst. 17(2): 19:1-19:27 (2021)
• 
  Mohit Khatwani, Hasib-Al Rashid, Hirenkumar Paneliya, Mark Horton, Nicholas R. Waytowich, W. David Hairston, Tinoosh Mohsenin:
  A Flexible Multichannel EEG Artifact Identification Processor using Depthwise-Separable Convolutional Neural Networks. ACM J. Emerg. Technol. Comput. Syst. 17(2): 23:1-23:21 (2021)
• 
  Heewoo Kim, Aporva Amarnath, Javad Bagherzadeh, Nishil Talati, Ronald G. Dreslinski:
  A Survey Describing Beyond Si Transistors and Exploring Their Implications for Future Processors. ACM J. Emerg. Technol. Comput. Syst. 17(3): 27:1-27:44 (2021)
• 
  Sourabh Kulkarni, Sachin Bhat, Csaba Andras Moritz:
  Architecting for Artificial Intelligence with Emerging Nanotechnology. ACM J. Emerg. Technol. Comput. Syst. 17(3): 26:1-26:33 (2021)

skipping 31 more matches