May 17, 2021 article Dynamic Dataflow Scheduling and Computation Mapping Techniques for Efficient Depthwise Separable Convolution Acceleration IEEE Transactions on Circuits and Systems I Regular Papers DOI: 10.1109/tcsi.2021.3078541 OpenAlex Authors 0 Author list not loaded yet. Cited by 2 stored of 54 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access EDEA: Efficient Dual-Engine Accelerator for Depthwise Separable Convolution with Direct Data Transfer 2024 IEEE International System-on-Chip Conference (SOCC) conference-paper Computer Science Advanced Neural Network Applications Open access 7 citations An Energy-Efficient and Area-Efficient Depthwise Separable Convolution Accelerator with Minimal On-Chip Memory Access 2023 IFIP/IEEE International Conference on Very Large Scale Integration conference-paper Computer Science Advanced Neural Network Applications 7 citations 2 results References 0