The original version of this story appeared in Quanta Magazine. Sometime in the fall of 2021, Andrew Krapivin, an undergraduate at Rutgers University, encountered a paper that would change his life.

Abstract: Chord DHT (Distributed Hash Table) is a robust solution to a basic problem encountered in peer-to-peer (P2P) applications: efficiently locating the node that stores specific data items. In ...

It isn't often that a decades-old assumption underpinning modern technology is overturned, but a recent paper based on the work of an undergraduate and his two co-authors has done just that. That ...

Abstract: Hash table is a fundamental data structure for quick search and retrieval of data. It is a key component in complex graph analytics and AI/ML applications. State-of-the-art parallel hash ...

Community driven content discussing all aspects of software development from DevOps to design patterns. A common problem in computing is to find out if a list contains duplicate entries. It’s also a ...

Locality Sensitive Hashing (LSH) is a family of hashing methods that tent to produce the same hash (or signature) for similar items. There exist different LSH functions, that each correspond to a ...

People have been working on perfecting hashing since computing's early days. The result has been an almost endless number of hashing methods and tables. Facebook has faced this problem as well. Within ...

The Linux kernel stores high-usage data objects such as pages, buffers, and inodes in data structures known as hash tables. In this report we analyze existing static hash tables to study the benefits ...