About cookies on this site Our websites require some cookies to function properly (required). In addition, other cookies may be used with your consent to analyze site usage, improve the user experience and for advertising. For more information, please review your options. By visiting our website, you agree to our processing of information as described in IBM’sprivacy statement. To provide a smooth navigation, your cookie preferences will be shared across the IBM web domains listed here.
Publication
CASES 2003
Conference paper
Vectorizing for a SIMdD DSP architecture
Abstract
The Single Instruction Multiple Data (SIMD) model for fine-grained parallelism was recently extended to support SIMD operations on disjoint vector elements. In this paper we demonstrate how SIMdD (SIMD on disjoint data) supports effective vectorization of digital signal processing (DSP) benchmarks, by facilitating data reorganization and reuse. In particular we show that this model can be adopted by a compiler to achieve near-optimal performance for important classes of kernels. Copyright 2003 ACM.