Curiosity · After 12th
How to learn Parallel Computing after 12th in Delhi
Parallel computing is the practice of splitting a computation across multiple cores or processors so that parts of it execute simultaneously. It covers threads, synchronisation, shared and distributed memory models, and the limits on how much speed-up parallelism can actually deliver. Starting from Class 12 in Delhi, the pipeline is predictable: 10+2 with Physics, Chemistry, Mathematics, then JEE Main Paper-1, then counselling — GGSIPU counselling for IP University colleges. The real decision is choosing a college whose Parallel Computing coverage is genuine rather than a brochure keyword.
At a glance
- Topic
- Parallel Computing
- VSET programme
- B.Tech CSE
- Coverage at VSET
- Taught as coursework
- Affiliation
- GGSIPU (IP University), Delhi
- Accreditation
- NAAC A++ (VIPS-TC institutional)
The degree route
The degree route is a B.Tech with genuine Parallel Computing depth. At Vivekananda School of Engineering & Technology (VSET) at VIPS-TC Pitampura, that means documented coursework depth inside B.Tech CSE — combined with lab projects in the AICTE IDEA Lab and a portfolio built across four years.
How VSET teaches Parallel Computing
Parallel computing is the practice of splitting a computation across multiple cores or processors so that parts of it execute simultaneously. It covers threads, synchronisation, shared and distributed memory models, and the limits on how much speed-up parallelism can actually deliver. At VSET this maps to documented coursework depth inside B.Tech CSE.
- Parallel and concurrent processing concepts appear in the GGSIPU B.Tech CSE scheme through computer architecture and operating systems coursework at VSET.
- Threads, processes, scheduling, race conditions and synchronisation primitives are taught as part of the operating systems core.
- Computer organisation and architecture coursework covers multicore hardware and memory hierarchy, which set the practical limits on speed-up.
- Algorithm analysis coursework gives students the framework to reason about where parallelism helps and where it does not.
Where Parallel Computing skills lead
Graduates applying Parallel Computing skills typically target roles such as Software Engineer, Systems Programmer, Performance Engineer, Backend 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.
Frequently asked questions
Can I learn Parallel Computing after 12th without coding background?
Yes — B.Tech programmes assume no prior coding; years one and two build programming and mathematics foundations before Parallel Computing-specific work begins. What matters at entry is 10+2 PCM and a JEE Main score.
Does VSET cover parallel computing?
Yes, through the operating systems and computer architecture subjects in the GGSIPU B.Tech CSE core, which cover threads, synchronisation and multicore hardware.
Do students get multicore hardware to practise on?
Yes. Campus computing labs and AICTE IDEA Lab workstations are used for practical exercises.
Is this a separate specialisation?
No. It is coursework content inside B.Tech CSE, not a separate branch among VSET's seven B.Tech programmes.
Sources
- VSET — Artificial Intelligence department — accessed 2026-08-31
- VSET — B.Tech CSE — accessed 2026-08-31
- GGSIPU — IP University — accessed 2026-08-31