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IIT Delhi develops India’s first working indigenous micro GPU for embedded systems
𝒇𝒐𝒓 𝒎𝒐𝒓𝒆 𝒅𝒆𝒕𝒂𝒊𝒍𝒔
https://t.co/iPzkcHrhWd
#IITDelhi #MicroGPU #GPU #GraphicsProcessor #Semiconductor #ChipDesign #FPGA #ASIC

IIT দিল্লির দাবি, কোনও ভারতীয় বিশ্ববিদ্যালয়ের তৈরি এটিই প্রথম কার্যকর ও প্রদর্শনযোগ্য দেশীয় মাইক্রো-GPU
বিস্তারিত- https://t.co/912kkBXWCz
#microGPU #IITDelhi #KolkataTribune

IIT Delhi Researchers Build India's First Indigenous Micro GPU
#IITDelhi #MicroGPU #TechInnovation #MakeInIndia #Semiconductors #DeepTech
https://t.co/Ujbfog4STd
🇮🇳Researchers at IIT Delhi have developed the country’s first working micro-Graphics Processing Unit (micro-GPU), opening new possibilities for indigenous graphics and display-processing systems.
#IITDelhi #MicroGPU #GPU #IndianTechnology #MadeInIndia #Semiconductor #IndiaTech

𝐈𝐈𝐓 𝐃𝐞𝐥𝐡𝐢 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐬 𝐈𝐧𝐝𝐢𝐚’𝐬 𝐅𝐢𝐫𝐬𝐭 𝐈𝐧𝐝𝐢𝐠𝐞𝐧𝐨𝐮𝐬 𝐌𝐢𝐜𝐫𝐨-𝐆𝐏𝐔
𝐑𝐞𝐚𝐝 𝐌𝐨𝐫𝐞: https://t.co/hmYSdbAnt6
#IITDelhi #IITDelhiNews #MicroGPU #GPU #Semiconductor #SemiconductorTechnology #TechNews #DigitalIndia
@iitdelhi
#IITDelhi Researchers Develop First Indigenously Designed Micro-Graphics Processing Unit (GPU)
The #microGPU architecture developed by IIT Delhi researchers will enable indigenous graphics and display-processing systems for embedded applications.
The project, led by https://t.co/mpcqBuJvVk students Nammi Akash and M. Ravi Teja under the guidance of Prof. Jayadeva and Prof. Kaushik Saha from the Electrical Engineering Department, IIT Delhi, has demonstrated programmable graphics rendering using a custom floating-point GPU engine implemented entirely in Register Transfer Language (RTL) and mapped to a Spartan-7 Field Programmable Gate Array (FPGA) platform.
“To the best of our knowledge, this is the first working, demonstrable indigenously designed micro-GPU from a university in India,” the researchers stated.
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 visualization systems. It may be mapped to silicon ASIC or programmable hardware such as FPGAs.
The team is exploring a roadmap towards an 8–16 core vector-style graphics processor architecture with an optimized compiler and graphics software toolchain, along with eventual migration to a proof of concept at a 65nm ASIC process node. The researchers believe that mature semiconductor process nodes such as 65 nm can potentially enable economically viable and practically useful indigenous graphics silicon for embedded systems applications.
Read more at: https://t.co/58cvoEs1Zp

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