In fact, distributed and parallel sorting algorithms are more challenging than the projects we have completed for two main reasons. Firstly, it is not that easy to divide the entire task into ...

We further develop system-aware parallel graph algorithms that enable runtime optimizations for faster and safer processing, hence bridging high-performance computing and big data analytics. Finally, ...

Implementation of parallel algorithms for solving the Multi-Objective Shortest Path (MOSP) problem using MPI, OpenMP, and METIS. This project explores distributed and shared-memory parallelism to ...

While the algorithms are quite general, the tuning–involving optimisations such as tiling, vectorisation, and loop unrolling–is very platform specific. ... PhD student in the parallel and distributed ...

Distributed optimisation and algorithms form a vibrant field that addresses the challenge of coordinating multiple agents or nodes to collectively solve global optimisation ... In parallel ...

In recent years, the Massively Parallel Computation (MPC) model has gained significant attention. However, most of distributed and parallel graph algorithms in the MPC model are designed for ...

The graph below shows the total number of publications each year in Distributed Systems and Algorithms. References [1] Distributed Consensus. In Blockchain Consensus, pp. 113–165.

We provide recommendation on selecting the type of parallel algorithm and its parameters in order to achieve the most efficient results for each class of instances. Published in: IEEE Transactions on ...

The core concept of MicroAlgo's multi-simulator collaborative subgraph isomorphism algorithm is to decompose large quantum circuits into multiple smaller sub-circuits, leveraging parallel and ...