skybirdpolitical.blogg.se - Hpc code source crack

#Hpc code source crack software

The matrix multiplication is a binary operation that produces a matrix from two matrices which is known as matrix product. Matrix Multiplication : Matrix multiplication optimised using CUDA. The following versions of Vector Reduction are implemented:ģ. The vector reduction is a type of operator that is used to reduce the elements of a vectore to a single value by summing all the values.

#Hpc code source crack software

NVIDIA HPC-X MPI is a high-performance, optimized implementation of Open MPI that takes advantage of NVIDIA’s additional acceleration capabilities, while providing seamless integration with industry-leading commercial and open-source application software packages. Vector Reduction : Vector reduction (addition) optimised using CUDA. MPI is a standardized, language-independent specification for writing message-passing programs.

Shared memory version (parallelised using the shared memory)Ģ.

Global memory version (parallelised using the global memory).

Sequential/Serial verion (used as the base line to assess parallel implementations).

The following versions of Matrix Transpose are implemented: The row and column indices of the matrix is switched to produce a new matrix. The transpose of a matrix is an operator which flips a matrix over its diagonal. Matrix Transpose : Matrix transpose optimised using CUDA. Bubble sort, insertion sort and selection sort are also included to assess their performance in parallel version of KNN, if it is possible.

Sorting algorihtms: Quick sort and merge sort are the main sorting algorithms used to sort the calculated distance matrix to identify nearest neighbours for each given query point.

Distance functions: Manhattand and Euclidean distances are used to calculate the k-nearest neighbours of a given point.

Parallelising KNN's distance and sorting functions. In this project we look at different aspects of high performance computing.