3 papers
cs.AR2026
PowerScope: ML-based Intra-Cycle Power Estimation
Jayanth Balasubramanian, Sujay Pandit, Radha Vaidya +1
Power estimation at sub-clock-cycle temporal resolutions is critical for tasks such as power delivery network (PDN) design, dynamic voltage droop analysis, and pre-silicon power si…
cs.AR2026
SPARQLe: Sub-Precision Activation Representation for Quantized LLM Inference
Aradhana Mohan Parvathy, Soumendu Kumar Ghosh, Shamik Kundu +4
The rapid growth in sizes of Large language models (LLMs) results in high compute and memory costs during inference. Quantization has been a significant pathway to addressing this…
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…