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 ...

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 ...

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 ...

As new technologies emerge that speed up computations, it is important to understand what these new features are and the benefits that can be gained by using the new technology. Vectorization has been ...

Lately, vectorization, an optimization technique synonymous with early vector supercomputers like the Cray-1 (1975), has reappeared with even greater importance than before. Exploiting the performance ...

Autograph first extracts loops and builds dependency graphs capturing instruction semantics and data flow, which are then converted into embeddings by Graph Neural Network. These embeddings are then ...

This article shows a simple example of a loop that was not vectorized by the Intel® C++ Compiler due to possible data dependencies, but which has now been vectorized using the Intel® Advanced Vector ...