Although a serious engineering challenge, database vectorization delivers orders-of-magnitude performance boosts for a real-time analytics engine such as StarRocks. Here’s how we did it. Improving ...

Shape vectorization is a key stage of the digitization of high-scale historical maps, especially city maps. Having access to digitized buildings, building blocks, street networks and other typical ...

Abstract: Matlab is a matrix-processing language that offers very efficient built-in operations for data organized in arrays. However Matlab operation is slow when the program accesses data through ...

Vectorization, the hardware optimization technique synonymous with early vector supercomputers like the Cray-1 (1975), has reappeared with even greater importance than before. 40+ years later, the AVX ...

The financial sector is heavily data driven. Every day, trillions of data is generated by the global financial system; these data sets are the bedrock of the financial system since they support a ...

To make the repository user-friendly, we decided to stick with - module-like structure. The main modules are cleaning, vectorization, refinement, and merging(each ...

Vectorization is a type of parallel computing paradigm that performs arithmetic operations on an array of numbers within a single data processing unit. When using vectorized operations, developers ...

1 Laboratoire Psychologie de la Perception, CNRS and Université Paris Descartes, Paris, France 2 Département d’Etudes Cognitives, Ecole Normale Supérieure, Paris, France The human cochlea includes ...