PA
PaletiKrishnasai/High-Performance-Computing
High-Performance-Computing
Week1 [ OpenMP ]
- Intro to OpenMP, HelloWorld , vector addition and multiplication.
- Analysing Runtime, Speedup and Parallelization Fraction based on the hardware specifications.
Week2 [ OpenMP ]
- Matirx Additon , Matrix Multiplication (Row Major).
- Analysing Runtime, Speedup and Parallelization Fraction based on the hardware specifications.
Week3 [ OpenMP ]
- Sum of N numbers, Vector dot product.
- Reduction and Critical Section.
- Analysing Runtime, Speedup and Parallelization Fraction based on the hardware specifications.
Week4 [ OpenMP ]
- Block Based Matrix Multiplication.
- Analysing Runtime, Speedup and Parallelization Fraction based on the hardware specifications.
DesignAcitivity1 [ CodeOptimization + OpenMP ]
- Parallelize the following sequence and write openMP and estimate parallelization fraction for the sequence’s larger number 100000. Write your comments on each problem.
- Sequence 5, 8, 11, 14, 17, 20, 23..
- Sequence 1 * sin a, 3 * sin b, 6 * sin c, 10 * sin d, 15 * sin a, 21 * sin b, 28 * sin c, 36 * sin d, 45 * sin a, .. Where a, b, c, d follows following sequence 0, 30, 60 and 90 respectively.
- Sequence 8,4√2,4,2√2
MA_FIR [ N-order Moving Average FIR Filter Simulation ]
- Course Project split into 5 phases
- Theoritical Analysis
- Profiling
- OpenMP
- MPI
- CUDA
On this page
Languages
Python75.6%C++12.1%C7.0%Cuda5.3%
Contributors
MIT License
Created August 20, 2021
Updated June 3, 2022