Parallel algorithm design is not easily reduced to simple recipes. Rather, it requires the sort of integrative thought that is commonly referred to as “creativity.” However, it can benefit from a ...

However, it is still confronted with challenges in parallel algorithm design and performance optimization at the same time.

Topics include: binning, scatter/gather, cut-off summation, bin design, thread coarsening and binning, horizontal vs. vertical scaling, shared memory programming, message passing, data sharing models, ...

The team designed a fully dynamic APSP algorithm in the MPC model with low round complexity that is faster than all the existing static parallel APSP algorithms.

Students taking the course for COMP_SCI 368 credit will work on labs that utilize advanced parallel programming, data layout, and algorithm decomposition concepts. Students taking the course for ...

Parallel tempering is a generic Markov chain Monte Carlo sampling method which allows good mixing with multimodal target distributions, where conventional Metropolis-Hastings algorithms often fail.

We present a detailed and up-to-date survey of the literature on parallel branch-and-bound algorithms. We synthesize previous work in this area and propose a new classification of parallel ...

The authors studied the technologies of GPU (Graphics Processing Unit) parallel computing and its optimized design for cryptography.