This repository contains the resources, code, and documentation supporting our work on training a model for HLS-C++ code generation. Our work demonstrates how to leverage transformer-based ...
High-level synthesis (HLS) tools, which transform C/C++ source code to Verilog/VHDL, have been commercially available for over 15 years. HLS tools from FPGA vendors and EDA companies promise improved ...
Today Gidel announced the availability of new development tools that take advantage of Intel’s HLS, producing a speed increase of 5x over prior development options. Intel’s High Level Synthesis (HLS) ...
A common use case for high-level synthesis (HLS) is taking 3rd party generated or legacy C/C++ algorithms and converting the algorithm to a hardware implementation using an HLS compiler. This can ...
LLM-for-HLS is an open-source project focused on leveraging Large Language Models (LLMs) for High-Level Synthesis (HLS). This project aims to construct datasets, fine-tune LLMs, and evaluate their ...
Abstract: The rapid scaling of large language model (LLM) training and inference has accelerated their adoption in semiconductor design across academia and industry. Most prior works benchmark LLMs ...
Abstract: High-Level Synthesis (HLS) tools are widely used for the efficient transformations of behavioural code into equivalent hardware in Register Transfer Level (RTL). However, recent studies show ...