Efficiency of microSIMD architectures and index-mapped data for media processors

Ruby B. Lee

doi:10.1117/12.334770

21 December 1998 Efficiency of microSIMD architectures and index-mapped data for media processors

Ruby B. Lee

Proceedings Volume 3655, Media Processors 1999; (1998) https://doi.org/10.1117/12.334770
Event: Electronic Imaging '99, 1999, San Jose, CA, United States

Abstract

We show that microSIMD architectures are more efficient for media processing than other parallel architectures like SIMD or MIMD parallel processor architectures, and VLIW or superscalar architectures. We define alternative mappings of data onto subwords, and show that the index mapping is an ideal mapping for achieving maximal subword parallelism with minimal revamping of the original serial loop code. We show an example where packed data loaded directly into registers from memory can be interpreted as index-mapped data rather than area-mapped data. This allows increased use of the subword parallelism provided by the microSIMD architecture, by exploiting data parallelism across loop iterations rather than within a loop. We also show how to convert rapidly between data mappings by using the Mix permutation instruments, first defined in the MAX-2 multimedia extensions for PA-RISC processors. We propose a new instruction, MixPair, which cuts by half the cost of parallel Mix functional units, while achieving maximum subword permutation performance.

Citation Download Citation

Ruby B. Lee "Efficiency of microSIMD architectures and index-mapped data for media processors", Proc. SPIE 3655, Media Processors 1999, (21 December 1998); https://doi.org/10.1117/12.334770

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available