Peer-reviewed paper
Tempus Core: Area-Power Efficient Temporal-Unary Convolution Core for Low-Precision Edge DLAs
Tempus Core presents a temporal-unary convolution engine for low-precision edge DLA workloads. The paper focuses on reducing area and power while preserving useful throughput for compact accelerator designs.
Abstract Summary
Tempus Core presents a temporal-unary convolution engine for low-precision edge DLA workloads. The paper focuses on reducing area and power while preserving useful throughput for compact accelerator designs.
Research Context
This paper contributes to my research program in accelerators, edge AI, DATE 2025. It is part of the broader work on efficient ML systems, hardware-software co-design, and deployment-aware computer architecture.