On-Device Continual Learning With STT-Assisted-SOT MRAM Based In-Memory Computing
Due to the separate memory and computation units in traditional Von-Neumann architecture,
massive data transfer dominates the overall computing system's power and latency, known …
massive data transfer dominates the overall computing system's power and latency, known …
System and Design Technology Co-Optimization of SOT-MRAM for High-Performance AI Accelerator Memory System
System on chips (SoCs) are now designed with their own artificial intelligence (AI)
accelerator segment to accommodate the ever-increasing demand of deep learning (DL) …
accelerator segment to accommodate the ever-increasing demand of deep learning (DL) …
AI-aided System and Design Technology Co-optimization Methodology Towards Designing Energy-efficient and High-performance AI Accelerators
KF Mishty - 2024 - auetd.auburn.edu
The rapid growth of artificial intelligence (AI) and deep learning (DL) workloads has created
an urgent need for more efficient and high-performance AI accelerators, both at the edge …
an urgent need for more efficient and high-performance AI accelerators, both at the edge …