3 papers
cs.AR2026
Agentic Design Space Exploration for Joint Hardware Configuration Selection and Mapping of AI Inference Workloads on Heterogeneous Edge SoCs
Geetha Prasuna Yarramneni, Surya Selvam, Wilfried Haensch +1
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…
cs.AR2026
A3D: Agentic AI flow for autonomous Accelerator Design
Abinand Nallathambi, Christopher Knight, Shantanu Ganguly +2
Accelerating applications through the design of hardware accelerators can significantly enhance system performance and energy efficiency. Despite advances, such as high-level synth…
cs.AR2023
LRMP: Layer Replication with Mixed Precision for Spatial In-memory DNN Accelerators
Abinand Nallathambi, Christin David Bose, Wilfried Haensch +1
In-memory computing (IMC) with non-volatile memories (NVMs) has emerged as a promising approach to address the rapidly growing computational demands of Deep Neural Networks (DNNs).…