ACM Journal on Emerging Technologies in Computing Systems

Papers
(The TQCC of ACM Journal on Emerging Technologies in Computing Systems is 8. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-04-01 to 2025-04-01.)
ArticleCitations
Guest Editors Introduction: Special Issue on Network-on-Chip Architectures of the Future (NoCArc)63
Guest Editorial: Trustworthy AI60
Introduction to the Special Issue on Hardware-Assisted Security for Emerging Internet of Things55
Dynamic Regularization on Activation Sparsity for Neural Network Efficiency Improvement41
Accelerating Deep Neuroevolution on Distributed FPGAs for Reinforcement Learning Problems33
Introduction to the Special Issue on Monolithic 3D: Technology, Design and Computing Systems Applications Perspectives30
CLU27
Bridging the Gap between RTL and Software Fault Injection26
Compressing RNNs to Kilobyte Budget for IoT Devices Using Kronecker Products23
Hardware Trust and Assurance through Reverse Engineering: A Tutorial and Outlook from Image Analysis and Machine Learning Perspectives19
The Uncertainty of Side-channel Analysis: A Way to Leverage from Heuristics19
Improving Deep Learning Networks for Profiled Side-channel Analysis Using Performance Improvement Techniques19
Attack Mitigation of Hardware Trojans for Thermal Sensing via Micro-ring Resonator in Optical NoCs19
Polyhedral-Based Compilation Framework for In-Memory Neural Network Accelerators18
Early Design Space Exploration Framework for Memristive Crossbar Arrays17
A Reconfigurable Multiplier for Signed Multiplications with Asymmetric Bit-Widths17
STAP: An Architecture and Design Tool for Automata Processing on Memristor TCAMs17
High-Performance and Energy-Efficient 3D Manycore GPU Architecture for Accelerating Graph Analytics16
A Mapping Method Tolerating SAF and Variation for Memristor Crossbar Array Based Neural Network Inference on Edge Devices16
High-level Modeling and Verification Platform for Elastic Circuits with Process Variation Considerations15
Taming Molecular Field-Coupling for Nanocomputing Design15
Toward Practical Superconducting Accelerators for Machine Learning Using U-SFQ15
Breaking On-Chip Communication Anonymity Using Flow Correlation Attacks14
A Fast Object Detection-Based Framework for Via Modeling on PCB X-Ray CT Images14
Hardware-accelerated Simulation-based Inference of Stochastic Epidemiology Models for COVID-1912
A Cost-Efficient Digital ESN Architecture on FPGA for OFDM Symbol Detection12
Characterization of Timing-based Software Side-channel Attacks and Mitigations on Network-on-Chip Hardware12
Challenging the Security of Logic Locking Schemes in the Era of Deep Learning: A Neuroevolutionary Approach12
EM-X-DL: Efficient Cross-device Deep Learning Side-channel Attack With Noisy EM Signatures12
Building an Open Representation for Biological Protocols11
Integrated Power Signature Generation Circuit for IoT Abnormality Detection11
A Novel Highly-Efficient Inexact Full Adder Cell for Motion and Edge Detection Systems of Image Processing in CNFET Technology11
Quantization of Deep Neural Networks for Accurate Edge Computing11
A Flexible Multichannel EEG Artifact Identification Processor using Depthwise-Separable Convolutional Neural Networks11
Towards a Truly Integrated Vector Processing Unit for Memory-bound Applications Based on a Cost-competitive Computational SRAM Design Solution10
Guest Editorial: ACM JETC Special Issue on Hardware-Aware Learning for Medical Applications10
Fast Linear Interpolation10
Zallocator: A High Throughput Write-Optimized Persistent Allocator for Non-Volatile Memory10
SPLIT PUF: Efficient PUF Implementation Using Underutilized FPGA Resources10
RT-RCG: Neural Network and Accelerator Search Towards Effective and Real-time ECG Reconstruction from Intracardiac Electrograms9
An Electro-Photonic System for Accelerating Deep Neural Networks9
Hardware Trojan Detection Using Unsupervised Deep Learning on Quantum Diamond Microscope Magnetic Field Images9
Test Points for Online Monitoring of Quantum Circuits8
Impact of On-chip Interconnect on In-memory Acceleration of Deep Neural Networks8
Defending against Adversarial Attacks in Deep Learning with Robust Auxiliary Classifiers Utilizing Bit-plane Slicing8
A Survey on Machine Learning in Hardware Security8
Diverse, Neural Trojan Resilient Ecosystem of Neural Network IP8
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