Export Citations
Save this search
Please login to be able to save your searches and receive alerts for new content matching your search criteria.
- research-articleOctober 2024JUST ACCEPTED
A Cascaded ReRAM-based Crossbar Architecture for Transformer Neural Network Acceleration
ACM Transactions on Design Automation of Electronic Systems (TODAES), Just Accepted https://doi.org/10.1145/3701034Emerging resistive random-access memory (ReRAM) based processing-in-memory (PIM) accelerators have been increasingly explored in recent years because they can efficiently perform in-situ matrix-vector multiplication (MVM) operations involved in a wide ...
- research-articleOctober 2024JUST ACCEPTED
PROTECTS: Progressive Rtl Obfuscation with ThrEshold Control Technique during architectural Synthesis
ACM Transactions on Design Automation of Electronic Systems (TODAES), Just Accepted https://doi.org/10.1145/3701032Due to the supply chain globalization of the semiconductor industry, securing heterogeneous System-on-Chip (SoC) is becoming necessary. A malicious alteration, inserting Hardware Trojan, infringement, or counterfeiting of design via Reverse Engineering (...
- research-articleOctober 2024
Realizing In-Memory Computing using Reliable Differential 8T SRAM for Improved Latency
ACM Transactions on Design Automation of Electronic Systems (TODAES), Volume 29, Issue 6Article No.: 106, Pages 1–15https://doi.org/10.1145/3696666Traditional von Neumann computing architectures suffer from high energy and lower speed as compared to the requirements of modern applications like those required in neural network accelerators. A modified differential eight transistor (8+T) static random ...
- research-articleOctober 2024
MCMCF-Router: Multi-capacity Ordered Escape Routing Algorithms for Grid/Staggered Pin Array
ACM Transactions on Design Automation of Electronic Systems (TODAES), Volume 29, Issue 6Article No.: 103, Pages 1–23https://doi.org/10.1145/3695253Ordered escape routing (OER), which means that the pins need to be routed to the boundary of a pin array in a given order, is an important research topic in PCB design. Although OER has been widely investigated, most works assume that the routing capacity ...
- research-articleSeptember 2024JUST ACCEPTED
Layout Congestion Prediction Based on Regression-ViT
ACM Transactions on Design Automation of Electronic Systems (TODAES), Just Accepted https://doi.org/10.1145/3698196To accelerate the back-end design flow of integrated circuit (IC), numerous studies have made exploratory advancements in machine learning (ML) for electronic design automation (EDA). However, most research works are limited to deep learning (DL) models ...
-
- research-articleSeptember 2024JUST ACCEPTED
Performance Analysis of CNN Inference/Training with Convolution and Non-Convolution Operations on ASIC Accelerators
- Hadi Esmaeilzadeh,
- Soroush Ghodrati,
- Andrew B. Kahng,
- Sean Kinzer,
- Susmita Dey Manasi,
- Sachin S. Sapatnekar,
- Zhiang Wang
ACM Transactions on Design Automation of Electronic Systems (TODAES), Just Accepted https://doi.org/10.1145/3696665Today’s performance analysis frameworks for deep learning accelerators suffer from two significant limitations. First, although modern convolutional neural networks (CNNs) consist of many types of layers other than convolution, especially during training, ...
- research-articleAugust 2024
PriorMSM: An Efficient Acceleration Architecture for Multi-Scalar Multiplication
ACM Transactions on Design Automation of Electronic Systems (TODAES), Volume 29, Issue 5Article No.: 77, Pages 1–26https://doi.org/10.1145/3678006Multi-Scalar Multiplication (MSM) is a computationally intensive task that operates on elliptic curves based on GF(P). It is commonly used in zero-knowledge proof (ZKP), where it accounts for a significant portion of the computation time required for ...
- research-articleJuly 2024
A Cost-Driven Chip Partitioning Method for Heterogeneous 3D Integration
ACM Transactions on Design Automation of Electronic Systems (TODAES), Volume 29, Issue 4Article No.: 70, Pages 1–27https://doi.org/10.1145/3672558Three-dimensional integration circuit (3D IC) offers significant benefits in terms of performance and cost. Existing research in through-silicon via (TSV)-based 3D IC partitioning has focused on minimizing the number of TSVs to reduce costs. Partitioning ...
- research-articleJuly 2024
An Open-Source ML-Based Full-Stack Optimization Framework for Machine Learning Accelerators
- Hadi Esmaeilzadeh,
- Soroush Ghodrati,
- Andrew Kahng,
- Joon Kyung Kim,
- Sean Kinzer,
- Sayak Kundu,
- Rohan Mahapatra,
- Susmita Dey Manasi,
- Sachin Sapatnekar,
- Zhiang Wang,
- Ziqing Zeng
ACM Transactions on Design Automation of Electronic Systems (TODAES), Volume 29, Issue 4Article No.: 68, Pages 1–33https://doi.org/10.1145/3664652Parameterizable machine learning (ML) accelerators are the product of recent breakthroughs in ML. To fully enable their design space exploration (DSE), we propose a physical-design-driven, learning-based prediction framework for hardware-accelerated deep ...
- research-articleFebruary 2024
TROP: TRust-aware OPportunistic Routing in NoC with Hardware Trojans
ACM Transactions on Design Automation of Electronic Systems (TODAES), Volume 29, Issue 2Article No.: 34, Pages 1–25https://doi.org/10.1145/3639821Multiple software and hardware intellectual property (IP) components are combined on a single chip to form Multi-Processor Systems-on-Chips (MPSoCs). Due to the rigid time-to-market constraints, some of the IPs are from outsourced third parties. Due to ...
- research-articleFebruary 2024
Mixed Integer Programming based Placement Refinement by RSMT Model with Movable Pins
ACM Transactions on Design Automation of Electronic Systems (TODAES), Volume 29, Issue 2Article No.: 36, Pages 1–18https://doi.org/10.1145/3639365Placement is a critical step in the physical design for digital application specific integrated circuits (ASICs), as it can directly affect the design qualities such as wirelength and timing. For many domain specific designs, the demands for high ...
- research-articleFebruary 2024
DeepFlow: A Cross-Stack Pathfinding Framework for Distributed AI Systems
ACM Transactions on Design Automation of Electronic Systems (TODAES), Volume 29, Issue 2Article No.: 30, Pages 1–20https://doi.org/10.1145/3635867Over the past decade, machine learning model complexity has grown at an extraordinary rate, as has the scale of the systems training such large models. However, there is an alarmingly low hardware utilization (5–20%) in large scale AI systems. The low ...
- research-articleFebruary 2024
Application-level Validation of Accelerator Designs Using a Formal Software/Hardware Interface
- Bo-Yuan Huang,
- Steven Lyubomirsky,
- Yi Li,
- Mike He,
- Gus Henry Smith,
- Thierry Tambe,
- Akash Gaonkar,
- Vishal Canumalla,
- Andrew Cheung,
- Gu-Yeon Wei,
- Aarti Gupta,
- Zachary Tatlock,
- Sharad Malik
ACM Transactions on Design Automation of Electronic Systems (TODAES), Volume 29, Issue 2Article No.: 35, Pages 1–25https://doi.org/10.1145/3639051Ideally, accelerator development should be as easy as software development. Several recent design languages/tools are working toward this goal, but actually testing early designs on real applications end-to-end remains prohibitively difficult due to the ...
- research-articleJanuary 2024
Dynamic Adaptation Using Deep Reinforcement Learning for Digital Microfluidic Biochips
- Tung-Che Liang,
- Yi-Chen Chang,
- Zhanwei Zhong,
- Yaas Bigdeli,
- Tsung-Yi Ho,
- Krishnendu Chakrabarty,
- Richard Fair
ACM Transactions on Design Automation of Electronic Systems (TODAES), Volume 29, Issue 2Article No.: 24, Pages 1–24https://doi.org/10.1145/3633458We describe an exciting new application domain for deep reinforcement learning (RL): droplet routing on digital microfluidic biochips (DMFBs). A DMFB consists of a two-dimensional electrode array, and it manipulates droplets of liquid to automatically ...
- research-articleDecember 2023
A Machine Learning Approach to Improving Timing Consistency between Global Route and Detailed Route
ACM Transactions on Design Automation of Electronic Systems (TODAES), Volume 29, Issue 1Article No.: 18, Pages 1–25https://doi.org/10.1145/3626959Due to the unavailability of routing information in design stages prior to detailed routing (DR), the tasks of timing prediction and optimization pose major challenges. Inaccurate timing prediction wastes design effort, hurts circuit performance, and may ...
- research-articleNovember 2023
MOEA/D vs. NSGA-II: A Comprehensive Comparison for Multi/Many Objective Analog/RF Circuit Optimization through a Generic Benchmark
ACM Transactions on Design Automation of Electronic Systems (TODAES), Volume 29, Issue 1Article No.: 15, Pages 1–23https://doi.org/10.1145/3626096Thanks to the enhanced computational capacity of modern computers, even sophisticated analog/radio frequency (RF) circuit sizing problems can be solved via electronic design automation (EDA) tools. Recently, several analog/RF circuit optimization ...
- research-articleOctober 2023
Programmable In-memory Computing Circuit of Fast Hartley Transform
ACM Transactions on Design Automation of Electronic Systems (TODAES), Volume 28, Issue 6Article No.: 100, Pages 1–23https://doi.org/10.1145/3618112Discrete Hartley transform is a core component of digital signal processing because of its advantages of fast computing speed and less power consumption. Traditional FPGA-based implementation methods have the disadvantage of high latency, which cannot ...
- research-articleOctober 2023
Modified Decoupled Sense Amplifier with Improved Sensing Speed for Low-Voltage Differential SRAM
ACM Transactions on Design Automation of Electronic Systems (TODAES), Volume 28, Issue 6Article No.: 94, Pages 1–15https://doi.org/10.1145/3611672A modified decoupled sense amplifier (MDSA) and modified decoupled sense amplifier with NMOS foot-switch is proposed for improved sensing in differential SRAM for low-voltage operation at the 22-nm technology node. The MDSA and MDSANF both offer notable ...
- research-articleOctober 2023
A General Layout Pattern Clustering Using Geometric Matching-based Clip Relocation and Lower-bound Aided Optimization
ACM Transactions on Design Automation of Electronic Systems (TODAES), Volume 28, Issue 6Article No.: 90, Pages 1–23https://doi.org/10.1145/3610293With the continuous shrinking of feature size, detection of lithography hotspots has been raised as one of the major concerns in Design-for-Manufacturability (DFM) of semiconductor processing. Hotspot detection, along with other DFM measures, trades off ...