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 ...

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 ...

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 ...

Enables readers to develop foundational and advanced vectorization skills for scalable data science and machine learning and address real-world problems Offering insights across various domains such ...

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 ...

In this paper, we investigate the knowledge of vectorization and give a detailed design for implementing vectorization on columnar storage. What is vectorization execution Organizing data in this ...

Image vectorization has emerged as a pivotal technique in digital imaging, offering a means of converting raster images into scalable, resolution-independent vector formats. This process leverages ...