10 citations · 21 across the 7 of their papers we have counts for
10 papers
RuC: HDL-Agnostic Rule Completion Benchmark Generation
Arnau Ayguadé Domingo, Miquel Alberti-Binimelis, Cristian Gutierrez-Gomez +5
Large Language Models (LLMs) have rapidly improved in performance across code-related tasks, making their integration into Register Transfer Level (RTL) development increasingly at…
NotSoTiny: A Large, Living Benchmark for RTL Code Generation
Razine Moundir Ghorab, Emanuele Parisi, Cristian Gutierrez +4
LLMs have shown early promise in generating RTL code, yet evaluating their capabilities in realistic setups remains a challenge. So far, RTL benchmarks have been limited in scale,…
TuRTLe: A Unified Evaluation of LLMs for RTL Generation
Dario Garcia-Gasulla, Gokcen Kestor, Emanuele Parisi +6
The rapid advancements in LLMs have driven the adoption of generative AI in various domains, including Electronic Design Automation (EDA). Unlike traditional software development,…
Union: A Unified HW-SW Co-Design Ecosystem in MLIR for Evaluating Tensor Operations on Spatial Accelerators
Geonhwa Jeong, Gokcen Kestor, Prasanth Chatarasi +5
To meet the extreme compute demands for deep learning across commercial and scientific applications, dataflow accelerators are becoming increasingly popular. While these "domain-sp…
A High-Performance Sparse Tensor Algebra Compiler in Multi-Level IR
Ruiqin Tian, Luanzheng Guo, Jiajia Li +2
Tensor algebra is widely used in many applications, such as scientific computing, machine learning, and data analytics. The tensors represented real-world data are usually large an…
Smart-PGSim: Using Neural Network to Accelerate AC-OPF Power Grid Simulation
Wenqian Dong, Zhen Xie, Gokcen Kestor +1
The optimal power flow (OPF) problem is one of the most important optimization problems for the operation of the power grid. It calculates the optimum scheduling of the committed g…