Datasets often incorporate various functional patterns related to different aspects or regimes, which are typically not equally present throughout the dataset. We propose a novel partitioning ...

BingoCGN employs cross-partition message quantization to summarize inter-partition message flow, which eliminates the need for irregular off-chip memory access and utilizes a fine-grained structured ...

Genomics is playing an important role in transforming healthcare. Genetic data, however, is being produced at a rate that far outpaces Moore’s Law. Many efforts have been made to accelerate genomics ...

Dynamic programming (DP), first introduced by Richard Bellman in the 1950s, is a fundamental algorithmic technique in computer science with broad applicability across numerous domains. In ...

[TKDD'23] Demo code of the paper entitled "Towards a Better Trade-Off between Quality and Efficiency of Community Detection: An Inductive Embedding Method across Graphs", which has been accepted by ...

To implement an algorithm that gives, the minimum no. of partitions you will have to do in a string, such that each resultant sub string will be a palindrome. ex: for a given string S: "NITIK" we can ...

Abstract: Balanced graph partition is a type of graph partitioning problem that divides the given graph into components, such that the components are of about the same size and there are few ...

Abstract: Graph partitioning is a problem which has great practical importance. Because graph partitioning is an NP-complete problem, there has been much research attention focused on developing ...