Learn how the nonce in Bitcoin's blockchain affects mining. Discover its role, importance, and how it influences the mining ...

Abstract: We propose the product quantization table (PQTable), a product quantization-based hash table that is fast and requires neither parameter tuning nor training steps. The PQTable produces ...

We can think of a hash table as a simple array where positions are determined based on a key, allowing us to find the associated value quickly. But you might be wondering: if I can only define numeric ...

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 ...

Abstract: With the emergence of modern multi-core CPU architectures that support data parallelism via vectorization, several storage systems have been employing SIMD-based techniques to optimize ...

Community driven content discussing all aspects of software development from DevOps to design patterns. I don’t know anyone who likes investigating a Java heap dump. They can be massive — literally ...

Editor’s note: This is the second part of a two-part blog series. Part 1 described how graph data relates to the in-memory graph of structures commonly used as models (as in “model-view-controller”) ...

As data analytics has become an important application for modern data management systems, a new category of data management system has appeared recently: the scalable linear algebra system. We argue ...

Over the past few years, as the use of mass spectrometry (MS) has increased, multiple spectral libraries, databases and software frameworks have been created to enable sharing and searching of MS data ...

Sorry to users, I long since switched to using Bloom filters and don't currently have time to maintain this. There are known bugs in the implementation, and many unrealized performance opportunities ...