Parallel computing
Employer
[no-member:pro]Pavel[/no-member:pro]Pavel
Project parameters
Type of cooperationOne-time project
SectionSoftware development
Prepaymentwithout prepayment
Payment methodsCash, Bank transfer, Electronic money
Acceptance of requestsclosed
Project description
At least a few tasks. Deadline 22.12
Matlab
1. Strassen's algorithm for matrix multiplication. Do the calculations in parallel so that the difficulty makes O(n^2.8)
Mathematica
1. Sorting by merger. Also parallel so that at some n sorted bubble, where faster, and then the merger.
Java Java
Two tasks on the GPU must be running in parallel. Use OpenCL and Java.
1. Solve diffurations by the Runge-Kutta method in parallel (there will be a system of about 20 equations)
2. Parallelize the discrete Fourier transform.
Matlab
1. Strassen's algorithm for matrix multiplication. Do the calculations in parallel so that the difficulty makes O(n^2.8)
Mathematica
1. Sorting by merger. Also parallel so that at some n sorted bubble, where faster, and then the merger.
Java Java
Two tasks on the GPU must be running in parallel. Use OpenCL and Java.
1. Solve diffurations by the Runge-Kutta method in parallel (there will be a system of about 20 equations)
2. Parallelize the discrete Fourier transform.
