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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

Posts

Future Blog Post

less than 1 minute read

Published: January 01, 2199

This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

Published: August 14, 2015

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published: August 14, 2014

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published: August 14, 2013

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published: August 14, 2012

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

Portfolio item number 1

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Portfolio item number 2

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publications

Software and firmware co-development using high-level synthesis

Published in Topical Workshop on Electronics for Particle Physics (TWEPP), 2016, 2016

This paper presents a case study of using high-level synthesis tools to streamline the firmware development process of CMS Endcap Muon Level-1 Track finder (EMTF) at CERN’s Large Hadron Collider.

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Compiling KB-sized machine learning models to tiny IoT devices

Published in ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI), 2019

This paper presents SeeDot, a domain-specific language/compiler for efficiently translating ML inference into fixed-point code for execution on resource-constrained microcontrollers and FPGAs.

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MAFIA: Machine Learning Acceleration on FPGAs for IoT Applications

Published in International Conference on Field-Programmable Logic and Applications (FPL), 2021

This paper describes a novel compilation tool that enables efficient ML inference on small form-factor FPGAs for IoT applications.

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T-RecX: Tiny-Resource Efficient Convolutional neural networks with early-eXit

Published in International Conference on Computing Frontiers (CF23) - BEST PAPER AWARD , 2023

This paper describes a early-exit network architecture optimized for tinyML models, and presents a novel resource-efficient method to mitigate overthinking in tiny neural networks. This work recieved the ACM Best paper award.

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Enabling Risk Management of Machine Learning Predictions for FPGA Routability

Published in International Symposium on Machine Learning for CAD, 2024

This paper studies the risks of inaccurate predictions of ML models in FPGA CAD algorithms.

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DEBUG-HD: Debugging TinyML models on-device using Hyper-Dimensional computing

Published in Machine Learning for Systems Workshop at NeurIPS, 2024

This paper studies explores on-device debug of field-deployed TinyML models using Hyper-dimensional computing.

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QUTE: Quantifying Uncertainty in TinyML with Early-exit-assisted ensembles for model-monitoring

Published in Under Review, 2024

This paper describes a resource-efficient method to practically quantify uncertainty for tinyML model-monitoring while meeting the strict tinyML constraints.

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