January 01, 2016 conference-paper Open access 14.5 Eyeriss: An energy-efficient reconfigurable accelerator for deep convolutional neural networks IEEE International Solid-State Circuits Conference (ISSCC) DOI: 10.1109/isscc.2016.7418007 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 3 stored of 726 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 Design and Exploration of an ARC-Coprocessor for LSTM Based Audio Applications 2022 IEEE Nordic Circuits and Systems Conference (NorCAS) conference-paper Computer Science Embedded Systems Design Techniques 0 citations Architecture, Dataflow and Physical Design Implications of 3D-ICs for DNN-Accelerators 2021 International Symposium on Quality Electronic Design (ISQED) conference-paper Engineering 3D IC and TSV technologies Open access 12 citations Efficiency Versus Accuracy: A Review of Design Techniques for DNN Hardware Accelerators 2021 IEEE Access article Computer Science Advanced Neural Network Applications Open access cited by 1 patent 34 citations 3 results References 0