which is the ratio of the sequential time to the parallel time. To compare the complexity of parallel sorting algorithms, it is helpful to use a model that abstracts away some of the details of ...

Complexity analysis can be applied to both sequential and parallel algorithms, but for parallel algorithms, there are additional metrics to consider, such as speedup, efficiency, scalability ...

This repository contains implementations of sequential and parallel sorting algorithms in Python, focusing on Merge Sort and Quick Sort algorithms. The parallel implementations utilize the ...

This book is an introduction to the field of parallel algorithms and the underpinning techniques to realize the parallelization. The emphasis is on designing algorithms within the timeless and ...

This repository contains implementations of both sequential ... complexity. The parallel implementation leverages multi-threading to divide the work among multiple processors. It follows a strategy ...

15-210 aims to teach methods for designing, analyzing, and programming sequential and parallel algorithms and data structures. The emphasis is on teaching fundamental concepts applicable across a wide ...

Each partial division can be performed by any existing division algorithm. From an algorithmic point of view, computational complexity analysis is ... namely the sequential and parallel are derived, ...

Thus, accurate predictions of the behaviour of both sequential and parallel algorithms has become an important issue, in particular in the case of costly methods such as randomized combinatorial ...