Spintronic Hardware Matrix Multipliers for Deep Learning
Introduction to spintronic-based matrix multiplication units and their role in accelerating deep neural networks.
Basic Magnetism Concepts for Spintronics
Fundamental magnetic principles essential for understanding spin-based devices.
Boltzmann Machines & Ground-State Computing
Spin-based hardware approaches for solving complex combinatorial optimization problems.
Magnetoresistance: AMR, GMR, TMR
Working principles and device-level implications of different magnetoresistance mechanisms.
VLSI Verification Using SystemVerilog Assertions (SVAs)
Standard methodologies and hands-on exposure to assertion-based verification practices.
Binary Stochastic Neurons with Low-Barrier Nanomagnets
Hardware neurons enabled by stochastic switching in nanomagnetic devices.
Magnetic Random-Access Memory (MRAM)
Writing mechanisms, read-out processes, and data storage techniques in MRAM technology.
Spin-Inspired Quantum Logic
Quantum logic elements influenced by spin dynamics and magnetic interactions.
Introduction to Embedded Systems
Microcontrollers vs microprocessors, ESP32 architecture, communication protocols, sensor basics, Raspberry Pi overview, and practical comparisons.
Embedded Systems Hands-on
LED control, sensor interfacing (LDR, temperature), serial inputs, OTA firmware updates, and an automatic brightness control mini project.
Domain-Wall Memory and Computing
Device concepts and computing paradigms based on magnetic domain-wall motion.
Spin Field-Effect Transistors (SpinFETs)
Analog computation possibilities using spin-controlled FET designs.
IoT Concepts and Connectivity
ThingSpeak, ESP32 Web Server, ESP-NOW communication, OTA updates, and FreeRTOS fundamentals.
IoT Practical Session
Cloud dashboard setup, web server deployment, ESP-NOW networking, and FreeRTOS tasks (queues, mutex, core pinning, notifications).
Special Lecture: Physical Unclonable Functions (PUFs)
Implementing hardware security primitives using defective magnetic tunnel junctions.
Product Development Lifecycle & Case Study
End-to-end process from requirements to deployment, demonstrated through the JIOBP EPS System (ESP32 + Raspberry Pi).
Workshop Fees
The rebate in program fee is applicable only to “currently enrolled or working” students/scholars/faculty/post-doc. The below fees are inclusive of GST. The fee is non-refundable. The candidates are advised to deposit the fee after careful consideration.
IIT Roorkee students and research scholar - INR 250
Students, research scholars, post-doc and faculty from other colleges - INR 500
Participants from industry, and all other participants from India (IITR Alumni) - INR 2000
Participants from abroad - INR 2500
NOTE: We have reduced the fee for IIT Roorkee students from 500 Rs to 250 Rs, and for other colleges from 1000 to 500 Rs. Those who have already paid the fee: we will return the excess money to them when they come for the workshop to Roorkee.
Payment
Here are the steps to make a payment.
Click on https://www.onlinesbi.sbi/sbicollect/icollecthome.htm?corpID=365641 [If this link shows "No Corporate/Institution available for the selected State", please try after some time.]
If you are unable to reach to IIT Roorkee payment, then, search Educational Institutes, then search Uttarakhand and then search "Dean SRIC CONF". See the picture below.
In the payment category, select "Conference/Workshop Code/Others".
In the "Conference/Workshop Code/Others", please select "WORKSHOP-152-ECD".
In the "Others- Write NA if Code Available Above", write "WORKSHOP-152-ECD".
In the "Name of individual/institution", write your own name.
Select your category as individual. Filling the PAN number is optional; you may just write N/A.
Fill rest of the details.
If you face errors, please contact sparsh.mittal@ece.iitr.ac.in and cc to s_saini@ece.iitr.ac.in
After making the payment, please fill the registration form.