CHARM: Composing Heterogeneous Accelerators on Heterogeneous SoC Architecture
A local-first tool for managing literature reviews, tagging papers, and exploring design spaces.
Advanced Simulation Library - hardware accelerated multiphysics simulation platform.
HLS performance estimation with LLMs
Public Release Version of PDOPT
Design Space Exploration (DSE) is a suite of open-source Grasshopper tools developed by Digital Structures at MIT. These tools aim to support visual, performance-based design space exploration and interactive multi-objective optimization (MOO) for conceptual design.
AIM: Accelerating Arbitrary-precision Integer Multiplication on Heterogeneous Reconfigurable Computing Platform Versal ACAP (Full Paper accepted to ICCAD2023)!
Design space exploration tool for SODA (MLIR-HLS) optimizing neural network hardware accelerators. Uses both exhaustive search and decision trees to automate loop/memory optimizations for efficient hardware designs. Supports convolution and fully connected layers with performance or energy-oriented options.
The core repository of TURNUS: a design space exploration and optimization framework for dynamic dataflow programs
HLS Design Space Exploration with RL+MCTS
VESPA prototyping framework for FPGA-based, accelerator-oriented SoCs
A JAVA/Processing sketch that implements the Force Density Method (FDM) and Dynamic Form-Finding (PSS: Particle-Spring Systems). Form finding, structural design and optimization of grid shells. Massachusetts Institute of Technology (MIT). 2015/2017.
A JAVA/Processing sketch that implements a geometric solution to the generation of optimum Mitchell trusses. Structural design and optimization of frames (trusses). Massachusetts Institute of Technology (MIT). 2015/2017.
A framework for Automated Design Space Exploration
Design space identification and exploration
Multi-Objective Hardware-Mapping Co-Optimisation for Multi-DNN Workloads on Chiplet-based Accelerators
Cycle-level, trace-driven, parallel GPU simulator for NVIDIA Pascal.
Approximate Printed Machine Learning Classifiers
This repository describes all code used in the development for the user-guided design space exploration tool for 3D concrete printed bridges.
[FPGA 2023] FADO: Floorplan-Aware Directive Optimization for High-Level Synthesis Designs on Multi-Die FPGAs
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