1 citations · 1 across the 5 of their papers we have counts for
5 papers
SPECTRA: Adaptive Execution of Speculative Decoding on a Runtime-Reconfigurable Tiled Architecture
Gabriele Tombesi, William Baisi, Je Yang +5
LLM inference on edge devices is constrained by computational and memory resources, making efficient autoregressive decoding challenging. Speculative decoding alleviates this bottl…
NoTB: Oracle-Free Triage of LLM-Generated RTL via Cross-Model Formal Consensus
Elisavet Lydia Alvanaki, Je Yang, Biruk Seyoum +1
Large language models (LLMs) are increasingly used to generate register-transfer-level (RTL) designs from natural-language specifications. However, assessing functional correctness…
QuArch: A Benchmark for Evaluating LLM Reasoning in Computer Architecture
Shvetank Prakash, Andrew Cheng, Mark Mazumder +24
The field of computer architecture, which bridges high-level software abstractions and low-level hardware implementations, remains absent from current large language model (LLM) ev…
SLDB: An End-To-End Heterogeneous System-on-Chip Benchmark Suite for LLM-Aided Design
Elisavet Lydia Alvanaki, Kevin Lee, Luca P. Carloni
Over the last few years, Large Language Models (LLMs) have emerged as a valuable tool for Electronic Design Automation (EDA). State-of-the-art research in LLM-aided design has demo…
Decoupled Access-Execute enabled DVFS for tinyML deployments on STM32 microcontrollers
Elisavet Lydia Alvanaki, Manolis Katsaragakis, Dimosthenis Masouros +2
Over the last years the rapid growth Machine Learning (ML) inference applications deployed on the Edge is rapidly increasing. Recent Internet of Things (IoT) devices and microcontr…