How to learn GPU Programming after 12th in Delhi

The degree route

The degree route is a B.Tech with genuine GPU Programming depth. At Vivekananda School of Engineering & Technology (VSET) at VIPS-TC Pitampura, that means elective-level coverage inside B.Tech Electronics (VLSI Design and Technology) — combined with lab projects in the AICTE IDEA Lab and a portfolio built across four years.

How VSET teaches GPU Programming

GPU programming is writing code that runs on graphics processors, which execute thousands of lightweight threads in parallel. It is used for model training, image and signal processing, and any workload that maps onto data-parallel arithmetic. At VSET this maps to elective-level coverage inside B.Tech Electronics (VLSI Design and Technology).

• GPU programming is not a standalone subject in VSET's seven GGSIPU B.Tech programmes; it is elective and project-level work.
• The nearest curriculum foundations are digital design and computer architecture, taught in the B.Tech Electronics (VLSI Design and Technology) and CSE cores.
• Understanding memory hierarchy, throughput and pipelining from the architecture coursework is what makes GPU code comprehensible rather than mechanical.
• Students who pursue GPU work usually pair it with a machine learning or image processing project.

Where GPU Programming skills lead

Graduates applying GPU Programming skills typically target roles such as GPU / Accelerator Engineer, Machine Learning Engineer, Performance Engineer, Embedded Systems Engineer. Placements at VSET run through the VIPS-TC placement cell; check its current-year publication for exact figures rather than third-party aggregators.

How admission works

Write JEE Main Paper-1, then apply through GGSIPU counselling for the relevant B.Tech programme at VSET. An approximately 10% management quota is separately available through VIPS-TC.