BCS702 | PARALLEL COMPUTING

Introduction to parallel programming, Parallel hardware and parallel software – Classifications of parallel computers, SIMD systems, MIMD systems, Interconnection networks, Cache coherence, Shared-memory vs. distributed-memory, Coordinating the processes/threads, Shared-memory, Distributed-memory.
GPU programming, Programming hybrid systems, MIMD systems, GPUs, Performance – Speedup and efficiency in MIMD systems, Amdahl’s law, Scalability in MIMD systems, Taking timings of MIMD programs, GPU performance.
Distributed memory programming with MPI – MPI functions, The trapezoidal rule in MPI, Dealing with I/O, Collective communication, MPI-derived datatypes, Performance evaluation of MPI programs, A parallel sorting algorithm.
Shared-memory programming with OpenMP – openmp pragmas and directives, The trapezoidal rule, Scope of variables, The reduction clause, loop carried dependency, scheduling, producers and consumers, Caches, cache coherence and false sharing in openmp, tasking, tasking, thread safety.
GPU programming with CUDA – GPUs and GPGPU, GPU architectures, Heterogeneous computing, Threads, blocks, and grids Nvidia compute capabilities and device architectures, Vector addition, Returning results from CUDA kernels, CUDA trapezoidal rule I, CUDA trapezoidal rule II: improving performance, CUDA trapezoidal rule III: blocks with more than one warp.

BCS702 | Model Question Paper with Solution

Access well‑organized Model Question Paper 1 & Model Question Paper 2

BCS702 | Module-wise Questions - Answers

Access well‑organized Module-wise IMP Questions with solutions. Each solution is created to save your time, clarify concepts, and help you revise effectively. 

BCS702 | Passing Package
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A smart package made for VTU students! Selected important questions prepared to cover exactly what matters in VTU exams. Clear, simple, and quick to revise – perfect for last‑minute preparation and aiming for better marks with confidence.