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ORCIDACM Transactions on Embedded Computing Systems, Volume 21
Volume 21, Number 1, January 2022
- Yuan-Hao Chang, Jalil Boukhobza
, Song Han:
Introduction to the Special Issue on Memory and Storage Systems for Embedded and IoT Applications. 1:1-1:4 - Sheel Sindhu Manohar, Sparsh Mittal, Hemangee K. Kapoor:
CORIDOR: Using COherence and TempoRal LocalIty to Mitigate Read Disurbance ErrOR in STT-RAM Caches. 2:1-2:24 - Tommaso Marinelli, José Ignacio Gómez Pérez, Christian Tenllado, Manu Komalan, Mohit Gupta, Francky Catthoor:
Microarchitectural Exploration of STT-MRAM Last-level Cache Parameters for Energy-efficient Devices. 3:1-3:20 - Robert Wittig, Philipp Schulz, Emil Matús, Gerhard P. Fettweis:
Accurate Estimation of Service Rates in Interleaved Scratchpad Memory Systems. 4:1-4:15 - Christian Hakert, Kuan-Hsun Chen, Horst Schirmeier, Lars Bauer, Paul R. Genssler, Georg von der Brüggen, Hussam Amrouch, Jörg Henkel, Jian-Jia Chen:
Software-Managed Read and Write Wear-Leveling for Non-Volatile Main Memory. 5:1-5:24 - Kazi Asifuzzaman, Rommel Sánchez Verdejo, Petar Radojkovic:
Performance and Power Estimation of STT-MRAM Main Memory with Reliable System-level Simulation. 6:1-6:25 - Dongsuk Shin, Hakbeom Jang, Kiseok Oh, Jae W. Lee:
An Energy-Efficient DRAM Cache Architecture for Mobile Platforms With PCM-Based Main Memory. 7:1-7:22 - Fei Wen, Mian Qin, Paul Gratz, A. L. Narasimha Reddy:
Software Hint-Driven Data Management for Hybrid Memory in Mobile Systems. 8:1-8:18 - Yu Zou, Amro Awad, Mingjie Lin:
DirectNVM: Hardware-accelerated NVMe SSDs for High-performance Embedded Computing. 9:1-9:24 - Katherine Missimer, Manos Athanassoulis, Richard West:
Telomere: Real-Time NAND Flash Storage. 10:1-10:24 - Yu Zou, Kazi Abu Zubair, Mazen Al-Wadi, Rakin Muhammad Shadab, Sanjay Gandham, Amro Awad, Mingjie Lin:
ARES: Persistently Secure Non-Volatile Memory with Processor-transparent and Hardware-friendly Integrity Verification and Metadata Recovery. 11:1-11:32 - Albin Eldstål-Ahrens, Angelos Arelakis, Ioannis Sourdis:
L2C: Combining Lossy and Lossless Compression on Memory and I/O. 12:1-12:27 - Lanshun Nie, Chenghao Fan, Shuang Lin, Li Zhang, Yajuan Li, Jing Li:
Holistic Resource Allocation Under Federated Scheduling for Parallel Real-time Tasks. 13:1-13:29
Volume 21, Number 2, March 2022
- Svetlana Minakova, Dolly Sapra, Todor P. Stefanov, Andy D. Pimentel:
Scenario Based Run-Time Switching for Adaptive CNN-Based Applications at the Edge. 14:1-14:33 - Xing Chen, Ümit Y. Ogras, Chaitali Chakrabarti:
Probabilistic Risk-Aware Scheduling with Deadline Constraint for Heterogeneous SoCs. 15:1-15:27 - Jiankuo Dong, Fangyu Zheng, Jingqiang Lin, Zhe Liu, Fu Xiao, Guang Fan:
EC-ECC: Accelerating Elliptic Curve Cryptography for Edge Computing on Embedded GPU TX2. 16:1-16:25 - Arnab Kumar Biswas, Biplab Sikdar:
Protecting Network-on-Chip Intellectual Property Using Timing Channel Fingerprinting. 17:1-17:21 - Jianwei Liao, Jun Li, Mingwang Zhao, Zhibing Sha, Zhigang Cai:
Read Refresh Scheduling and Data Reallocation against Read Disturb in SSDs. 18:1-18:27 - Ziyang Hong, C. Patrick Yue:
Efficient-Grad: Efficient Training Deep Convolutional Neural Networks on Edge Devices with Gradient Optimizations. 19:1-19:24 - Qingling Zhao, Mengfei Qu, Zonghua Gu, Haibo Zeng:
Minimizing Stack Memory for Partitioned Mixed-criticality Scheduling on Multiprocessor Platforms. 20:1-20:30
Volume 21, Number 3, May 2022
- Yuan-Hao Chang, Jalil Boukhobza, Song Han:
Introduction to the Special Issue on Memory and Storage Systems for Embedded and IoT Applications: Part 2. 21:1-21:2 - Saransh Gupta, Behnam Khaleghi, Sahand Salamat, Justin Morris, Ranganathan Ramkumar, Jeffrey Yu, Aniket Tiwari, Jaeyoung Kang, Mohsen Imani, Baris Aksanli, Tajana Simunic Rosing:
Store-n-Learn: Classification and Clustering with Hyperdimensional Computing across Flash Hierarchy. 22:1-22:25 - Julian L. Rrushi:
Physics-Driven Page Fault Handling for Customized Deception against CPS Malware. 23:1-23:36 - Wei-Ting Lin, Hsiang-Yun Cheng, Chia-Lin Yang, Meng-Yao Lin, Kai Lien, Han-Wen Hu, Hung-Sheng Chang, Hsiang-Pang Li, Meng-Fan Chang, Yen-Ting Tsou, Chin-Fu Nien:
DL-RSIM: A Reliability and Deployment Strategy Simulation Framework for ReRAM-based CNN Accelerators. 24:1-24:29 - Qian Wei, Bingzhe Li, Wanli Chang, Zhiping Jia, Zhaoyan Shen, Zili Shao:
A Survey of Blockchain Data Management Systems. 25:1-25:28
- Zhenyu Bai, Hugues Cassé, Marianne De Michiel, Thomas Carle, Christine Rochange:
A Framework for Calculating WCET Based on Execution Decision Diagrams. 26:1-26:26 - Shihao Song, Harry Chong, Adarsha Balaji, Anup Das, James A. Shackleford, Nagarajan Kandasamy:
DFSynthesizer: Dataflow-based Synthesis of Spiking Neural Networks to Neuromorphic Hardware. 27:1-27:35 - Jun Xiao, Yixian Shen, Andy D. Pimentel:
Cache Interference-aware Task Partitioning for Non-preemptive Real-time Multi-core Systems. 28:1-28:28
- Salim Ullah, Siva Satyendra Sahoo, Nemath Ahmed, Debabrata Chaudhury, Akash Kumar:
AppAxO: Designing Application-specific Approximate Operators for FPGA-based Embedded Systems. 29:1-29:31 - Yi-Syuan Lin, Yu-Pei Liang, Tseng-Yi Chen, Yuan-Hao Chang, Shuo-Han Chen, Hsin-Wen Wei, Wei-Kuan Shih:
How to Enable Index Scheme for Reducing the Writing Cost of DNA Storage on Insertion and Deletion. 30:1-30:25 - Pani Prithvi Raj, Akhil Reddy Pakala, Nitin Chandrachoodan:
Reduced Memory Viterbi Decoding for Hardware-accelerated Speech Recognition. 31:1-31:18 - Harsh Desai, Matteo Nardello, Davide Brunelli, Brandon Lucia:
Camaroptera: A Long-range Image Sensor with Local Inference for Remote Sensing Applications. 32:1-32:25 - Jiachen Mao, Qing Yang, Ang Li, Kent W. Nixon, Hai Li, Yiran Chen:
Toward Efficient and Adaptive Design of Video Detection System with Deep Neural Networks. 33:1-33:21 - Cong Chen, Zhong Hong, Jianmin Jiang:
Scheduling in Real-Time Mobile Systems. 34:1-34:36
Volume 21, Number 4, July 2022
- Jelena Trajkovic, Sara Karimi, Samantha Hangsan, Wenlu Zhang:
Prediction Modeling for Application-Specific Communication Architecture Design of Optical NoC. 35:1-35:29 - Archanaa S. Krishnan, Patrick Schaumont:
Benchmarking and Configuring Security Levels in Intermittent Computing. 36:1-36:22 - Shihua Huang, Luc Waeijen, Henk Corporaal:
How Flexible is Your Computing System? 37:1-37:41 - Samuel Isuwa, Somdip Dey, Andre P. Ortega, Amit Kumar Singh, Bashir M. Al-Hashimi, Geoff V. Merrett:
QUAREM: Maximising QoE Through Adaptive Resource Management in Mobile MPSoC Platforms. 38:1-38:29 - Yanfeng Chen, Tianyu Zhang, Fanxin Kong, Lin Zhang, Qingxu Deng:
Attack-resilient Fusion of Sensor Data with Uncertain Delays. 39:1-39:25 - Maxime France-Pillois, Abdoulaye Gamatié, Gilles Sassatelli:
A Segmented Adaptive Router for Near Energy-Proportional Networks-on-Chip. 40:1-40:27 - Tanmaya Mishra, Thidapat Chantem, Ryan M. Gerdes:
Survey of Control-flow Integrity Techniques for Real-time Embedded Systems. 41:1-41:32 - Tse-Yuan Wang, Chun-Feng Wu, Che-Wei Tsao, Yuan-Hao Chang, Tei-Wei Kuo, Xue (Steve) Liu:
Rethinking the Interactivity of OS and Device Layers in Memory Management. 42:1-42:21 - Xiangzhen Ouyang, Yian Zhu:
wfspan: Wait-free Dynamic Memory Management. 43:1-43:26 - Kyubaik Choi, Gerald E. Sobelman:
An Efficient CNN Accelerator for Low-Cost Edge Systems. 44:1-44:20 - Qingling Zhao, Mingqiang Chen, Zonghua Gu, Siyu Luan, Haibo Zeng, Samarjit Chakraborty:
CAN Bus Intrusion Detection Based on Auxiliary Classifier GAN and Out-of-distribution Detection. 45:1-45:30 - Francesco Daghero, Alessio Burrello, Chen Xie, Marco Castellano, Luca Gandolfi, Andrea Calimera, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari:
Human Activity Recognition on Microcontrollers with Quantized and Adaptive Deep Neural Networks. 46:1-46:28
Volume 21, Number 5, September 2022
- Muhammad Shafique, Theocharis Theocharides, Hai Li, Chun Jason Xue:
Introduction to the Special Issue on Accelerating AI on the Edge - Part 1. 47:1-47:5 - Javier Mendez, Kay Bierzynski, Manuel P. Cuéllar, Diego Pedro Morales:
Edge Intelligence: Concepts, Architectures, Applications, and Future Directions. 48:1-48:41 - Chih-Kai Kang, Hashan Roshantha Mendis, Chun-Han Lin, Ming-Syan Chen, Pi-Cheng Hsiu:
More Is Less: Model Augmentation for Intermittent Deep Inference. 49:1-49:26 - Shien Zhu, Luan H. K. Duong, Weichen Liu:
TAB: Unified and Optimized Ternary, Binary, and Mixed-precision Neural Network Inference on the Edge. 50:1-50:26 - Eunjin Jeong, Jangryul Kim, Soonhoi Ha:
TensorRT-Based Framework and Optimization Methodology for Deep Learning Inference on Jetson Boards. 51:1-51:26 - Souvik Kundu, Yao Fu, Bill Ye, Peter A. Beerel, Massoud Pedram:
Toward Adversary-aware Non-iterative Model Pruning through Dynamic Network Rewiring of DNNs. 52:1-52:24 - Francesco Paissan, Alberto Ancilotto, Elisabetta Farella:
PhiNets: A Scalable Backbone for Low-power AI at the Edge. 53:1-53:18 - Andres Gomez, Andreas Tretter, Pascal Alexander Hager, Praveenth Sanmugarajah, Luca Benini, Lothar Thiele:
Dataflow Driven Partitioning of Machine Learning Applications for Optimal Energy Use in Batteryless Systems. 54:1-54:29 - Basar Kütükçü, Sabur Baidya, Anand Raghunathan, Sujit Dey:
Contention Grading and Adaptive Model Selection for Machine Vision in Embedded Systems. 55:1-55:29 - Petar Jokic, Erfan Azarkhish, Andrea Bonetti, Marc Pons, Stéphane Emery, Luca Benini:
A Construction Kit for Efficient Low Power Neural Network Accelerator Designs. 56:1-56:36 - Salonik Resch, S. Karen Khatamifard, Zamshed I. Chowdhury, Masoud Zabihi, Zhengyang Zhao, M. Hüsrev Cilasun, Jianping Wang, Sachin S. Sapatnekar, Ulya R. Karpuzcu:
Energy-efficient and Reliable Inference in Nonvolatile Memory under Extreme Operating Conditions. 57:1-57:36 - Benedict Herzog, Stefan Reif, Judith Hemp, Timo Hönig, Wolfgang Schröder-Preikschat:
Resource-demand Estimation for Edge Tensor Processing Units. 58:1-58:24 - Maedeh Hemmat, Joshua San Miguel, Azadeh Davoodi:
CAP'NN: A Class-aware Framework for Personalized Neural Network Inference. 59:1-59:24 - Jun-Hyung Park, Kang-Min Kim, SangKeun Lee:
Quantized Sparse Training: A Unified Trainable Framework for Joint Pruning and Quantization in DNNs. 60:1-60:22 - Mohammadreza Baharani, Hamed Tabkhi:
ATCN: Resource-efficient Processing of Time Series on Edge. 61:1-61:19 - Vidushi Goyal, Reetuparna Das, Valeria Bertacco:
Hardware-friendly User-specific Machine Learning for Edge Devices. 62:1-62:29 - Biji George, Om Ji Omer, Ziaul Choudhury, Anoop V, Sreenivas Subramoney:
A Unified Programmable Edge Matrix Processor for Deep Neural Networks and Matrix Algebra. 63:1-63:30 - Halima Bouzidi, Hamza Ouarnoughi, Smaïl Niar, Abdessamad Ait El Cadi:
Performance Modeling of Computer Vision-based CNN on Edge GPUs. 64:1-64:33 - Geng Yuan, Peiyan Dong, Mengshu Sun, Wei Niu, Zhengang Li, Yuxuan Cai, Yanyu Li, Jun Liu, Weiwen Jiang, Xue Lin, Bin Ren, Xulong Tang, Yanzhi Wang:
Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework. 65:1-65:22 - Mehdi Ghasemi, Daler N. Rakhmatov, Carole-Jean Wu, Sarma B. K. Vrudhula:
EdgeWise: Energy-efficient CNN Computation on Edge Devices under Stochastic Communication Delays. 66:1-66:27
Volume 21, Number 6, November 2022
- Muhammad Shafique, Theocharis Theocharides, Hai (Helen) Li, Chun Jason Xue:
Introduction to the Special Issue on Accelerating AI on the Edge - Part 2. 67:1-67:5 - Kuan-Hsun Chen, Chiahui Su, Christian Hakert, Sebastian Buschjäger, Chao-Lin Lee, Jenq-Kuen Lee, Katharina Morik, Jian-Jia Chen:
Efficient Realization of Decision Trees for Real-Time Inference. 68:1-68:26 - Hongyi Pan, Diaa Badawi, Ahmet Enis Çetin:
Block Walsh-Hadamard Transform-based Binary Layers in Deep Neural Networks. 69:1-69:25 - Arijit Mukherjee, Jayeeta Mondal, Swarnava Dey:
Accelerated Fire Detection and Localization at Edge. 70:1-70:27 - Mário Almeida, Stefanos Laskaridis, Stylianos I. Venieris, Ilias Leontiadis, Nicholas D. Lane:
DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device. 71:1-71:24 - Vinod Ganesan, Pratyush Kumar:
Design and Scaffolded Training of an Efficient DNN Operator for Computer Vision on the Edge. 72:1-72:29 - Sina Shahhosseini, Dongjoo Seo, Anil Kanduri, Tianyi Hu, Sung-Soo Lim, Bryan Donyanavard, Amir M. Rahmani, Nikil D. Dutt:
Online Learning for Orchestration of Inference in Multi-user End-edge-cloud Networks. 73:1-73:25 - Vasileios Tsouvalas, Aaqib Saeed, Tanir Ozcelebi:
Federated Self-training for Semi-supervised Audio Recognition. 74:1-74:26 - Edgar Lemaire, Benoît Miramond, Sébastien Bilavarn, Hadi Saoud, Nassim Abderrahmane:
Synaptic Activity and Hardware Footprint of Spiking Neural Networks in Digital Neuromorphic Systems. 75:1-75:26 - Yi Yang, Murugan Sankaradas, Srimat Chakradhar:
DyCo: Dynamic, Contextualized AI Models. 76:1-76:21 - Shihao Song, Adarsha Balaji, Anup Das, Nagarajan Kandasamy:
Design-Technology Co-Optimization for NVM-Based Neuromorphic Processing Elements. 77:1-77:27 - Justin Morris, Kazim Ergun, Behnam Khaleghi, Mohsen Imani, Baris Aksanli, Tajana Simunic:
HyDREA: Utilizing Hyperdimensional Computing for a More Robust and Efficient Machine Learning System. 78:1-78:25 - Asif Ali Khan, Sébastien Ollivier, Stephen Longofono, Gerald Hempel, Jerónimo Castrillón, Alex K. Jones:
Brain-inspired Cognition in Next-generation Racetrack Memories. 79:1-79:28 - Syed Asad Alam, Andrew Anderson, Barbara Barabasz, David Gregg:
Winograd Convolution for Deep Neural Networks: Efficient Point Selection. 80:1-80:28 - Shayan Hassantabar, Joe Zhang, Hongxu Yin, Niraj K. Jha:
MHDeep: Mental Health Disorder Detection System Based on Wearable Sensors and Artificial Neural Networks. 81:1-81:22 - Ali Heydarigorji, Siavash Rezaei, Mahdi Torabzadehkashi, Hossein Bobarshad, Vladimir Castro Alves, Pai H. Chou:
Leveraging Computational Storage for Power-Efficient Distributed Data Analytics. 82:1-82:36 - Shuwei Li, Changhai Man, Ao Shen, Ziyi Guan, Wei Mao, Shaobo Luo, Rumin Zhang, Hao Yu:
A Fall Detection Network by 2D/3D Spatio-temporal Joint Models with Tensor Compression on Edge. 83:1-83:19 - Taha Soliman, Nellie Laleni, Tobias Kirchner, Franz Müller, Ashish Shrivastava, Thomas Kämpfe, Andre Guntoro, Norbert Wehn:
FELIX: A Ferroelectric FET Based Low Power Mixed-Signal In-Memory Architecture for DNN Acceleration. 84:1-84:25 - Clayton Frederick Souza Leite, Yu Xiao:
Resource-Efficient Continual Learning for Sensor-Based Human Activity Recognition. 85:1-85:25 - Subhankar Pal, Swagath Venkataramani, Viji Srinivasan, Kailash Gopalakrishnan:
OnSRAM: Efficient Inter-Node On-Chip Scratchpad Management in Deep Learning Accelerators. 86:1-86:29
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