期刊： ACM TRANSACTIONS ON DESIGN AUTOMATION OF ELECTRONIC SYSTEMS, 2021; 26 (2)
Multi-chip many-core neural network systems are capable of providing high parallelism benefited from decentralized execution, and they can be scaled t......
期刊： ACM TRANSACTIONS ON DESIGN AUTOMATION OF ELECTRONIC SYSTEMS, 2021; 26 (2)
Modern circuits often contain standard cells of different row heights to meet various design requirements. Taller cells give larger drive strengths an......
期刊： ACM TRANSACTIONS ON DESIGN AUTOMATION OF ELECTRONIC SYSTEMS, 2021; 26 (1)
Very-large-scale network-on-chip (VLS-NoC) has become a promising fabric for supercomputers, but this fabric may encounter the many-fault problem. Thi......
期刊： ACM TRANSACTIONS ON DESIGN AUTOMATION OF ELECTRONIC SYSTEMS, 2021; 26 (1)
Read disturb is a circuit-level noise in solid-state drives (SSDs), whichmay corrupt existing data in SSD blocks and then cause high read error rate a......
期刊： ACM TRANSACTIONS ON DESIGN AUTOMATION OF ELECTRONIC SYSTEMS, 2020; 25 (1)
In recent years, neuromorphic computing systems based on memristive crossbar have provided a promising solution to enable acceleration of neural netwo......
期刊： ACM TRANSACTIONS ON DESIGN AUTOMATION OF ELECTRONIC SYSTEMS, 2020; 25 (1)
Generic tree ensembles (such as Random Forest, RE) rely on a substantial amount of individual models to attain desirable performance. The cost of main......
期刊： ACM TRANSACTIONS ON DESIGN AUTOMATION OF ELECTRONIC SYSTEMS, 2020; 25 (1)
An automatic stage-form circuit reduction method for multistage operational amplifiers (opamps) is proposed. A tool based on this method can reduce a ......
期刊： ACM TRANSACTIONS ON DESIGN AUTOMATION OF ELECTRONIC SYSTEMS, 2020; 25 (1)
Tunable analog/RF circuit has emerged as a promising technique to address the significant performance uncertainties caused by process variations. To o......
期刊： ACM TRANSACTIONS ON DESIGN AUTOMATION OF ELECTRONIC SYSTEMS, 2020; 25 (3)
An RRAM-based computing system (RCS) provides an energy-efficient hardware implementation of vectormatrix multiplication for machine-learning hardware......
期刊： ACM TRANSACTIONS ON DESIGN AUTOMATION OF ELECTRONIC SYSTEMS, 2020; 26 (2)
Modern circuits often contain standard cells of different row heights to meet various design requirements. Taller cells give larger drive strengths an......
期刊： ACM TRANSACTIONS ON DESIGN AUTOMATION OF ELECTRONIC SYSTEMS, 2020; 25 (5)
There is substantial interest in the use of machine learning (ML)-based techniques throughout the electronic computer-aided design (CAD) flow, particu......
期刊： ACM TRANSACTIONS ON DESIGN AUTOMATION OF ELECTRONIC SYSTEMS, 2020; 25 (6)
This article presents a novel energy-efficient cache design for massively parallel, throughput-oriented architectures like GPUs. Unlike L1 data cache ......
期刊： ACM TRANSACTIONS ON DESIGN AUTOMATION OF ELECTRONIC SYSTEMS, 2020; 25 (6)
The write constraints of Multi-Level Cell (MLC) NAND flash memory make most of the existing flash translation layer (FTL) schemes inefficient or inapp......
期刊： ACM TRANSACTIONS ON DESIGN AUTOMATION OF ELECTRONIC SYSTEMS, 2020; 26 (2)
Multi-chip many-core neural network systems are capable of providing high parallelism benefited from decentrali7ed execution, and they can be scaled t......
期刊： ACM TRANSACTIONS ON DESIGN AUTOMATION OF ELECTRONIC SYSTEMS, 2019; 24 (5)
Machine learning is a powerful lever for developing, improving, and optimizing test methodologies to cope with the demand from the advanced nodes. Ens......
