Abstract: Neuromorphic chips with multi-core architecture are considered to be of great potential for the next generation of artificial intelligence (AI) chips because of the avoidance of the memory ...

Mt-KaHyPar is a shared-memory algorithm for partitioning graphs and hypergraphs. The balanced (hyper)graph partitioning problem asks for a partition of the node set of a (hyper)graph into k disjoint ...

Abstract: As the processing of large-scale graphs on a single device is infeasible without partitioning, graph partitioning algorithms are essential for various algorithms and distributed computing ...

The algorithm relies on the Kac-Ward formalism, a mathematical method that allows exact computation of partition functions for planar spin glass systems in polynomial time, making it possible to ...

We develop an algorithm that finds the consensus among many different clustering solutions of a graph. We formulate the problem as a median set partitioning problem and propose a greedy optimization ...

Quadtree stands out as a pivotal data structure, especially in 2D game development. It excels at spatial partitioning, efficiently organizing and searching for objects in a hierarchical tree structure ...

Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases. Amid all the hype and hysteria about ChatGPT, ...

Sorting is a well-known algorithm that can be implemented in other algorithms to solve biological, scientific, engineering, and big data problems. The popular sorting algorithm is Quicksort 1. It is ...

Fiber clustering methods are typically used in brain research to study the organization of white matter bundles from large diffusion MRI tractography datasets. These methods enable exploratory bundle ...

With his M.Optom Degree in Eye Care Speciality, Rahul worked as a lecturer for many years in the college. Writing and teaching others is always his passion. He now writes about technology and make it ...

The blockchain has a great vogue in recent years, and its core consensus algorithms also become the focus of research. At present, most of the research on consensus mechanisms are oriented to the ...