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 ...

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 ...

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 ...

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.

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 ...

Using expression templates and a cost model of floating-point operations, the library performs its own loop unrolling and vectorization. Eigen automatically enables its vectorization if a supported ...

Major release of the open-source compiler collection also includes vectorization improvements and faster compiling of very large input files. GCC (GNU Compiler Collection) 15.1 has arrived with ...