W6760069825

• 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
• Merits of Time-Domain Computing for VMM – A Quantitative Comparison

  2024 International Symposium on Quality Electronic Design (ISQED) conference-paper Engineering Advanced Memory and Neural Computing Open access

  7

  citations
• PEACE: Private and Energy-Efficient Algorithm for Cardiac Evaluation on the EDGE using Modified Split Learning and Model Quantization

  2023 International Conference on Information and Communication Systems (ICICS) conference-paper Medicine ECG Monitoring and Analysis

  5

  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
• Post-Training Quantization for Energy Efficient Realization of Deep Neural Networks

  2022 IEEE International Conference on Machine Learning and Applications (ICMLA) conference-paper Computer Science Advanced Neural Network Applications

  8

  citations
• Design of High-Throughput Mixed-Precision CNN Accelerators on FPGA

  2022 International Conference on Field Programmable Logic and Applications (FPL) conference-paper Computer Science Advanced Neural Network Applications

  16

  citations

6 results