On Wednesday 21st of May 2025, starting from 16:00, Tiberiu Popoviciu Institute of Numerical Analysis together with the Babeș-Bolyai University are hosting the second part of the talk of Assistant Professor Ionuț Farcaș (Virginia Tech, SUA) titled An introduction to vectorization and its applications in modern programming languages (part II). The first part of the talk was held online on Thursday 17th of April 2025.
Abstract: Vectorization (SIMD: Single Instruction, Multiple Data) is a parallel processing technique that allows a single instruction to be executed on multiple pieces of data simultaneously. This can significantly increase the speed of computation in applications that process large volumes of uniform data, such as graphics, machine learning, or scientific computing. Instead of processing elements individually, vectorization groups data into vectors, applying the same operation to all elements in a single step. In this presentation, we will explore the basic principles of vectorization and illustrate, through practical C code examples, the potential performance gains for numerical linear algebra problems. We will also briefly discuss the use of vectorization in other common modern languages, such as Python and Julia.
Zoom: The talk will be online on Zoom using this access link
or the details below
Meeting ID: 891 7110 8640
Passcode: 941345
The talk has also been announced at
https://www.cs.ubbcluj.ro/dr-ionut-farcas-virginia-tech-sua-o-introducere-in-vectorizare-si-aplicatiile-sale-in-limbaje-moderne-de-programare/
