View in EDS

Harnessing Data Parallelism with the Java Vector API.

Saved in:

Bibliographic Details
Title:	Harnessing Data Parallelism with the Java Vector API.
Authors:	Paul, Sourav Kumar, Kulkarni, Abhijit
Source:	Open Source For You; Jul2024, Vol. 12 Issue 9, p51-56, 6p
Subject Terms:	COMPILERS (Computer programs), PARALLEL processing, SOFTWARE engineers, CACHE memory
Abstract:	The article focuses on the Java Vector API and its role in enabling data parallelism in Java applications. Topics include vectorization, components of the Vector API, and its operations. The API, introduced in JDK 16 and currently in incubation for Java 23, enhances performance for tasks like scientific simulations, image processing, and machine learning by leveraging platform-specific vector instructions.
Database:	Complementary Index

Description
Abstract:	The article focuses on the Java Vector API and its role in enabling data parallelism in Java applications. Topics include vectorization, components of the Vector API, and its operations. The API, introduced in JDK 16 and currently in incubation for Java 23, enhances performance for tasks like scientific simulations, image processing, and machine learning by leveraging platform-specific vector instructions.
ISSN:	24564885