Support for Data Parallelism in the CAL Actor Language
(2016) WPMVP 2016 - 3rd Workshop on Programming Models for SIMD/Vector Processing- Abstract
- With the arrival of heterogeneous manycores comprising various features to support task, data and instruction-level parallelism, developing applications that take full advantage of the hardware parallel features has become a major challenge. In this paper, we present an extension to our CAL compilation framework (CAL2Many) that supports data parallelism in the CAL Actor Language. Our compilation framework makes it possible to pro- gram architectures with SIMD support using high-level language and provides efficient code generation. We support general SIMD instructions but the code generation backend is currently implemented for two custom architectures, namely ePUMA and EIT. Our experiments were carried out for two custom SIMD processor... (More)
- With the arrival of heterogeneous manycores comprising various features to support task, data and instruction-level parallelism, developing applications that take full advantage of the hardware parallel features has become a major challenge. In this paper, we present an extension to our CAL compilation framework (CAL2Many) that supports data parallelism in the CAL Actor Language. Our compilation framework makes it possible to pro- gram architectures with SIMD support using high-level language and provides efficient code generation. We support general SIMD instructions but the code generation backend is currently implemented for two custom architectures, namely ePUMA and EIT. Our experiments were carried out for two custom SIMD processor architectures using two applications. The experiment shows the possibility of achieving performance comparable to hand-written machine code with much less programming effort. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4f9b87db-ed4d-4460-a656-aabe378599f6
- author
- Gebrewahid, Essayas ; Arslan, Mehmet Ali LU ; Karlsson, Andreas and ul-Abdin, Zain
- organization
- publishing date
- 2016-03
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- SIMD, CAL Actor Language, QRD
- host publication
- WPMVP 2016 - 3rd Workshop on Programming Models for SIMD/Vector Processing
- article number
- 2
- publisher
- Association for Computing Machinery (ACM)
- conference name
- WPMVP 2016 - 3rd Workshop on Programming Models for SIMD/Vector Processing
- conference location
- Barcelona, Spain
- conference dates
- 2016-03-13 - 2016-03-13
- external identifiers
-
- scopus:84976580876
- wos:000390594100002
- ISBN
- 978-1-4503-4060-1
- DOI
- 10.1145/2870650.2870656
- language
- English
- LU publication?
- yes
- id
- 4f9b87db-ed4d-4460-a656-aabe378599f6
- date added to LUP
- 2016-05-13 15:54:54
- date last changed
- 2022-01-30 03:27:14
@inproceedings{4f9b87db-ed4d-4460-a656-aabe378599f6,
abstract = {{With the arrival of heterogeneous manycores comprising various features to support task, data and instruction-level parallelism, developing applications that take full advantage of the hardware parallel features has become a major challenge. In this paper, we present an extension to our CAL compilation framework (CAL2Many) that supports data parallelism in the CAL Actor Language. Our compilation framework makes it possible to pro- gram architectures with SIMD support using high-level language and provides efficient code generation. We support general SIMD instructions but the code generation backend is currently implemented for two custom architectures, namely ePUMA and EIT. Our experiments were carried out for two custom SIMD processor architectures using two applications. The experiment shows the possibility of achieving performance comparable to hand-written machine code with much less programming effort.}},
author = {{Gebrewahid, Essayas and Arslan, Mehmet Ali and Karlsson, Andreas and ul-Abdin, Zain}},
booktitle = {{WPMVP 2016 - 3rd Workshop on Programming Models for SIMD/Vector Processing}},
isbn = {{978-1-4503-4060-1}},
keywords = {{SIMD; CAL Actor Language; QRD}},
language = {{eng}},
publisher = {{Association for Computing Machinery (ACM)}},
title = {{Support for Data Parallelism in the CAL Actor Language}},
url = {{http://dx.doi.org/10.1145/2870650.2870656}},
doi = {{10.1145/2870650.2870656}},
year = {{2016}},
}