ICCAD'23 Best Paper Award candidate: Robust GNN-based Representation Learning for HLS

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🕹 OpenPARF: An Open-Source Placement and Routing Framework for Large-Scale Heterogeneous FPGAs with Deep Learning Toolkit

A Comprehensive Model-Based Analysis Framework for High Level Synthesis of Real Applications

The Shang high-level synthesis framework

Shang benchmark

Entropy-Directed Scheduling in High-Level Synthesis for FPGA Chips

A Comprehensive Dataflow Compiler for High-Level Synthesis

Karuta HLS Compiler: High level synthesis from prototype based object oriented script language to RTL (Verilog) aiming to be useful for FPGA development.

TAPA compiles task-parallel HLS program into high-performance FPGA accelerators. UCLA-maintained. Community-maintained version with binary releases is at https://github.com/tuna/tapa.

TAPA is a dataflow HLS framework that features fast compilation, expressive programming model and generates high-frequency FPGA accelerators. [See https://github.com/UCLA-VAST/tapa for issues & pul…

An open source high level synthesis (HLS) tool built on top of LLVM

Rosetta: A Realistic High-level Synthesis Benchmark Suite for Software Programmable FPGAs (FPGA'18)