Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks

• Introducing sustainable neuromorphic computing in Engineering Mechanics

  2026 npj Artificial Intelligence article Engineering Advanced Memory and Neural Computing Open access

  0

  citations
• CIMFlow: Modelling Dataflow in Cross-Layer Compute-in-Memory Deep Learning Accelerators

  2025 ACM Transactions on Embedded Computing Systems article Engineering Advanced Memory and Neural Computing Open access

  0

  citations
• Reconfigurable and Green FPGA Accelerator Design for Deep Neural Networks on IIoT Devices

  2024 Globecom conference-paper Computer Science Embedded Systems Design Techniques

  0

  citations
• 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
• Brain-inspired spiking neural networks in Engineering Mechanics: a new physics-based self-learning framework for sustainable Finite Element analysis

  2024 Engineering With Computers article Physics and Astronomy Model Reduction and Neural Networks Open access

  12

  citations
• A Unified and Energy-Efficient Depthwise Separable Convolution Accelerator

  2024 IFIP advances in information and communication technology conference-paper Computer Science Advanced Neural Network Applications

  0

  citations
• An Energy Efficient All-Digital Time-Domain Compute-in-Memory Macro Optimized for Binary Neural Networks

  2023 IEEE Transactions on Circuits and Systems I Regular Papers article Engineering Advanced Memory and Neural Computing

  17

  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
• FPGA-based Deep Learning Inference Accelerators: Where Are We Standing?

  2023 ACM Transactions on Reconfigurable Technology and Systems article Computer Science Embedded Systems Design Techniques Open access

  73

  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
• ASIP‐Based Multi‐Processor Systems for an Efficient Implementation of CNNs

  2021 other Computer Science Embedded Systems Design Techniques

  1

  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
• ConvAix: An Application-Specific Instruction-Set Processor for the Efficient Acceleration of CNNs

  2020 IEEE Open Journal of Circuits and Systems article Computer Science Advanced Neural Network Applications Open access cited by 2 patents

  12

  citations
• Automated design of error-resilient and hardware-efficient deep neural networks

  2020 Neural Computing and Applications article Computer Science Advanced Neural Network Applications Open access cited by 2 patents

  40

  citations

14 results