Abstract: Currently, there are three vectorizers in the LLVM trunk: Loop Vectorizer, SLP Vectorizer, and Load-Store Vectorizer. There is a need for vectorizing functions/kernels: 1) Function calls are ...

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 ...

CubeCL is a Rust language extension, a Just-in-Time compiler, and a set of runtimes for writing high-performance compute kernels. A single #[cube] Rust function compiles on demand to CUDA, HIP, Metal, ...

Vectorization is a powerful optimization technique that significantly boosts the performance of high performance computing applications operating on large data arrays. Despite decades of research on ...

There was an error while loading. Please reload this page.

Abstract: Vectorization has been an important method of using data-level parallelism to accelerate scientific workloads on vector machines such as Cray for the past three decades. In the last decade ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

The following article is a follow up and a detailed analysis of a problem reported on the Intel® Developer Zone (Intel® DZ) forum1 dedicated to the Intel® C++ Compiler 2. An Intel DZ user implemented ...