Abstract
Compiling indexing operations on n-dimensional arrays into efficiently executable code is a challenging task. This paper focuses on the reduction of offset computations as they typically occur when transforming index vectors into offsets for linearized representations of ndimensional arrays. We present a high-level optimization to that effect which is generally applicable, even in the presence of statically unknown rank (n). Our experiments show run-time improvements between a factor of 2 and 16 on a set of real-world benchmarks.
| Originalsprache | Englisch |
|---|---|
| Seiten | 19-36 |
| Seitenumfang | 18 |
| Publikationsstatus | Veröffentlicht - 01.12.2007 |
| Veranstaltung | 18th International Symposium on Implementation and Application of Functional Languages - Budapest, Ungarn Dauer: 04.09.2006 → 06.09.2006 Konferenznummer: 71089 |
Tagung, Konferenz, Kongress
| Tagung, Konferenz, Kongress | 18th International Symposium on Implementation and Application of Functional Languages |
|---|---|
| Kurztitel | IFL 2006 |
| Land/Gebiet | Ungarn |
| Ort | Budapest |
| Zeitraum | 04.09.06 → 06.09.06 |
UN SDGs
Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung
-
SDG 9 – Industrie, Innovation und Infrastruktur
Zitieren
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver