Data structures can either aid or hinder parallel algorithms depending on how they facilitate or limit parallelism. When selecting data structures for parallel algorithms, some factors to consider ...

These algorithms and models can handle large and complex data sets, perform parallel computations, and achieve high performance and accuracy. For example, parallel algorithms and models can be ...

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 ...

Abstract: Data partitioning algorithms aiming to minimize the execution time and the energy of computations in self-adaptable data-parallel applications on modern extreme-scale multicore platforms ...

Abstract: To make better use of the cloud computing technology, and to overcome the computing and storage ... algorithm to Medical data classification. All experiments show that our method and ...

In recent years, the Massively Parallel Computation (MPC ... the total memory required to store these data structures of this sequential dynamic APSP algorithm is too large.