Abstract
Optimizing array accesses is extremely critical in embedded computing as many embedded applications make use of arrays (in form of images, video frames, etc). Previous research considered both loop and data transformations for improving array accesses. However, data transformations considered were mostly limited to linear data transformations and array interleaving. In this paper, we introduce two data transformations: array decomposition (breaking up a large array into multiple smaller arrays) and array composition (combining multiple small arrays into a single large array). This paper discusses that it is feasible to implement these optimizations within an optimizing compiler.
Original language | English (US) |
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Pages (from-to) | 193-196 |
Number of pages | 4 |
Journal | IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers |
DOIs | |
State | Published - 2003 |
Event | IEEE/ACM International Conference on Computer Aided Design ICCAD 2003: IEEE/ACM Digest of Technical Papers - San Jose, CA, United States Duration: Nov 9 2003 → Nov 13 2003 |
All Science Journal Classification (ASJC) codes
- Software
- Computer Science Applications
- Computer Graphics and Computer-Aided Design