IIT-Delhi researchers build homegrown graphics chip for low-cost devices

The processor is designed for applications ranging from e-rickshaw dashboards and industrial displays to educational devices and boat navigation systems.

QS rankings: IIT-Delhi tops India list for 2nd yr, climbs to 118 globallyIIT-Delhi ranked highest among Indian institutions in the QS World University Rankings 2027. (File Photo)

Researchers at IIT-Delhi claimed to have developed a programmable micro-graphics processing unit (GPU) designed in India, a step they say could eventually enable locally designed graphics hardware for low-cost embedded devices.

The processor is designed for graphics and display applications rather than high-end AI computing, with potential uses ranging from industrial control displays and e-rickshaw navigation systems to educational devices and navigation terminals for small boats.

Currently, all GPUs are imported.

“To the best of our knowledge, this is the first working, demonstrable indigenously designed micro-GPU from a university in India,” one of the researchers from the Department of Electrical Engineering said.

Also Read | 5-year BTech with early exits: Ex-IIT Delhi director’s proposal for diverse classrooms

The current system runs on a Spartan-7 Field Programmable Gate Array (FPGA), rather than as a standalone silicon chip.

The team developed a programmable graphics processor architecture capable of graphics rendering, with the hardware described in Register Transfer Language (RTL) and implemented on the FPGA platform.

M Tech students Nammi Akash and M Ravi Teja led the project under the guidance of professors Jayadeva and Kaushik Saha of the Department of Electrical Engineering.

Story continues below this ad

“Our objective was to create a compact but genuinely programmable graphics-processing architecture suitable for FPGA implementation and future ASIC realisation. We hope such indigenous hardware systems can support affordable digital-access platforms and contribute meaningfully towards bridging the digital divide,” said Akash, one of the researchers.

Designed for embedded applications

Teja said that the hardware architecture is a scalable, programmable graphics processor IP suitable for applications such as industrial control displays, low-cost human-machine interfaces, e-rickshaw dashboard navigators, inland-water navigation terminals for small fishing boats, educational e-book readers and other affordable embedded visualisation systems.

The design could be implemented on programmable hardware such as FPGAs or converted into an Application-Specific Integrated Circuit (ASIC), the researchers said.

An ASIC would involve manufacturing the processor design as a dedicated silicon chip. The current work, however, remains at the FPGA demonstration stage.

Story continues below this ad

The researchers said they are now exploring an 8–16-core vector-style graphics processor architecture, along with an optimised compiler and graphics software toolchain. The longer-term plan includes developing a proof of concept using a 65-nanometre ASIC process.

The choice of a mature 65-nm semiconductor process targets applications where cost, power consumption and practical deployment matter more than the extreme performance associated with newer semiconductor nodes, the researchers said.

From student project to processor architecture

Jayadeva said the work shows the potential of indigenous programmable graphics hardware for affordable, socially useful computing platforms, adding that many innovations were needed to realise the design on a standard FPGA board.

“The project encourages students to integrate arithmetic hardware, programmable architectures, compilers, and embedded systems thinking within a unified framework while also addressing wider societal accessibility challenges,” Saha said.

Story continues below this ad

The researchers said the next stage will focus on scaling the architecture, developing the supporting software ecosystem and evaluating its eventual implementation as an ASIC.

Advertisement
Loading Recommendations...
Advertisement
Advertisement
Latest Comment
Post Comment
Read Comments