Laboratory exercises on cards with ARM, FPGA and sensors for "Embedded System Design" course NTUA 2020 -2021
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Updated
Mar 23, 2021 - C
Laboratory exercises on cards with ARM, FPGA and sensors for "Embedded System Design" course NTUA 2020 -2021
A JAVA/Processing sketch that implements the Force Density Method (FDM). Form finding, structural design and optimization of grid shells. Massachusetts Institute of Technology (MIT). 2015/2017.
[FPGA 2023] FADO: Floorplan-Aware Directive Optimization for High-Level Synthesis Designs on Multi-Die FPGAs
The goal of this practical work is to train in practical embedded system design, and to perform Design Space Exploration (DSE) to experience consequences of computerarchitectural choices. The focus is on the embedded part of the cyber-physical system.
This repository describes all code used in the development for the user-guided design space exploration tool for 3D concrete printed bridges.
Design Space Exploration for VLIW (VEX)
Repository of DB4HLS. A database of design space exploration in high-level synthesis.
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.
High-level heterogeneous adaptive embedded system designer and simulator
Public Release Version of PDOPT
InfiniTAM on FPGA
Approximate Printed Machine Learning Classifiers
Cycle-level, trace-driven, parallel GPU simulator for NVIDIA Pascal.
The core repository of TURNUS: a design space exploration and optimization framework for dynamic dataflow programs
AIM: Accelerating Arbitrary-precision Integer Multiplication on Heterogeneous Reconfigurable Computing Platform Versal ACAP (Full Paper accepted to ICCAD2023)!
Design space identification and exploration
🎯 soap - Structural Optimisation of Arithmetic Programs
dMazeRunner: Dataflow acceleration optimization infrastructure for coarse-grained programmable accelerators
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.
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