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.

Applications that can take advantage of the new vectorization capabilities of the Intel Xeon Phi processor will show tremendous performance gains. "When considering vectorization, there are different ...

"With the Intel compilers, intrinsics are recognized and the instructions are generated in-line which is a tremendous advantage. Since the Intel Xeon Phi processor when using the AVX-512 intrinsics ...

Vectorization is important in credit scoring and loan risk analysis because it transforms complex, diverse financial data into numerical formats that machine learning models can efficiently ...

Vectorization: The “Other” Parallelism You NeedWe will describe, with C and Fortran examples, new opportunities for performance-enhancing vectorization provided by the Intel® AVX-512 ...

Kinetica report forecasts 'the new era of Big Data Parallelism' Once in a decade breakthrough Big vectorisation systems already used by hyperscalers The technology could have big impact for smaller ...

To help strengthen development of complex multicore applications, IAR Systems added multicore debugging functionality and support for automatic NEON vectorization to its Embedded Workbench for ARM.

LLVM is a compiler framework for programmatically generating machine-native code. Developers use it to roll out new languages and enhance existing ones.

A new technical paper titled “Test-driving RISC-V Vector hardware for HPC” was published by researchers at University of Edinburgh. Abstract: “Whilst the RISC-V Vector extension (RVV) has been ...