Welcome to Alumni & Corporate Relations
NIELIT develops microprocessor lab

KOZHIKODE: The National Institute of Electronics and Information Technology (NIELIT), here, has developed a state-of-the-art embedded system design laboratory to provide remote lab access to students, startups and researchers to help them overcome the challenges posed by Covid-19.

The lab will offer engineers across the country a range of benefits including access to hardware and software resources for design and implementation of embedded systems.
The lab is the first remote embedded system design lab in the country based on Indian microprocessors.
The ministry of electronics and information technology (MeitY) had in August launched the ‘swadeshi microprocessor challenge’ to promote innovation and entrepreneurship by taking up complex designs and innovation of frugal solutions around a home-grown processor ecosystem. As many as 6,000 teams comprising 15,000 participants had registered for the programme.

Earlier, under the microprocessor development programme initiated by MeitY, industry-grade variants of microprocessors were designed by IIT-Madras (32-bit/ 64-bit Shakti series) and C-DAC (32-bit/64-bit Vega series).
“In an outreach to innovators across the country, NIELIT Calicut has re-structured and evolved its embedded system design laboratory to offer instructor-led and self-paced training on embedded system design using Shakti and Vega processors for participants of the microprocessor challenge,” NIELIT authorities said.
Due to Covid-19 many students and researchers are not able to access embedded systems laboratories and providing remote access would help them continue with their work, they said.
According to NIELIT officials, in the initial phase the lab will be piloted for imparting a four-week training from Monday to 1,000 innovators and researchers across the country supported under MeitY’s instruction enhancement programme (IEP) module of special manpower development programme for chips to system design (SMDP-C2SD).
NIELIT intends to extend the leanings and outcomes from this training to further scale up the lab.