Author

Anand Raghunathan

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#artificial intelligence Preprint Oct 2026

Agentic Design Space Exploration for Joint Hardware Configuration Selection and Mapping of AI Inference Workloads on Heterogeneous Edge SoCs

Modern edge Systems-on-Chip (SoCs) integrate heterogeneous processing units (PUs) such as CPUs, GPUs, and NPUs, each with distinct performance and energy characteristics. Deploying AI inference workloads on them under real-time latency and energy constraints requires jointly mapping workloads to PUs and configuring eac...

Geetha Prasuna Yarramneni, Surya Selvam, W. Haensch et al. · 0 citations

Preprint Aug 2026

PowerScope: ML-based Intra-Cycle Power Estimation

This work proposes PowerScope, the first ML-based intra-cycle power estimation framework that operates purely on RTL simulation traces at inference time, eliminating the need for post-layout gate-level simulation and power analysis per workload.

Jayanth Balasubramanian, Sujay Pandit, Radha Vaidya et al. · 0 citations