Home
Research Trends
Papers list
Open Access Journals
All Journals
Search in Journals
Contact us
IEEE Design & Test
Title
Publication Date
Language
Citations
Heuristic-Based Algorithms for Low-Complexity AV1 Intraprediction
2023/10/01
Designing Secure TLBs
2024/04/01
FALCON: An FPGA Emulation Platform for Domain-Specific SoCs (DSSoCs)
2024/02/01
Detecting Pediatric Foot Deformities Using Plantar Pressure Measurements: A Semisupervised Approach
2023/08/01
Testability and Dependability of AI Hardware: Survey, Trends, Challenges, and Perspectives
2023/04/01
Recap of the 29th Edition of the Asia and South Pacific Design Automation Conference (ASPDAC 2024)
Niklaus Wirth (1934–2024)—An Appreciation
Robust and Secure Systems
Table of Contents
Front Cover
Blank Page
IEEE Design & Test Publication Information
Analytical Model for Performance Evaluation of Token-Passing-Based WiNoCs
2023/12/01
Dynamically Reconfigurable Network Protocol for Shape-Changeable Computer System
2023/12/01
Automated Optical Accelerator Search: Expediting Green and Ubiquitous DNN-Powered Intelligence
2023/12/01
ELEMENT: Energy-Efficient Multi-NoP Architecture for IMC-Based 2.5-D Accelerator for DNN Training
2023/12/01
Table of Contents
2023/10/01
A Reinforcement Learning Framework With Region-Awareness and Shared Path Experience for Efficient Routing in Networks-on-Chip
2023/12/01
Postpandemic Conferences: The DATE 2023 Experience
2023/10/01
The 41st IEEE VLSI Test Symposium
2023/10/01
SoCProbe: Compositional Post-Silicon Validation of Heterogeneous NoC-Based SoCs
2023/12/01
Similarity-Based Fast Analysis of Data Center Networks
2023/12/01
Fast Analysis Using Finite Queuing Model for Multilayer NoCs
2023/12/01
SPOCK: Reverse Packet Traversal for Deadlock Recovery
2023/12/01
A NoC-Based Spatial DNN Inference Accelerator With Memory-Friendly Dataflow
2023/12/01
Front Cover
2023/10/01
SBCCI 2022
2023/10/01
The 2022 Symposium on Integrated Circuits and Systems Design (SBCCI 2022)
2023/10/01
Calling Yourself Back
2023/10/01
Intellectual Property Protection of Deep-Learning Systems via Hardware/Software Co-Design
2024/04/01
«
‹ Pervious
Next ›
»