Details
| Original language | English |
|---|---|
| Title of host publication | ARCS 2014 |
| Subtitle of host publication | 2014 Workshop Proceedings on Architecture of Computing Systems |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (electronic) | 9783800735792 |
| Publication status | Published - 2014 |
| Event | 27th International Conference on Architecture of Computing Systems Workshop, ARCS 2014 - Lübeck, Germany Duration: 25 Feb 2014 → 28 Feb 2014 |
Publication series
| Name | ARCS 2014 - 2014 Workshop Proceedings on Architecture of Computing Systems |
|---|
Abstract
To increase the performance of a program, developers have to parallelize their code due to trends in modern hardware development. Since the parallelization of source code is paired with additional programming effort, it is desirable to provide developers with tools to help them by parallelizing source code. PBA2CUDA is a framework for semi-automatically parallelization of source code specialized in the algorithm class of Population Based Algorithms.
ASJC Scopus subject areas
- Computer Science(all)
- Hardware and Architecture
- Computer Science(all)
- Software
- Engineering(all)
- Safety, Risk, Reliability and Quality
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ARCS 2014 : 2014 Workshop Proceedings on Architecture of Computing Systems. Institute of Electrical and Electronics Engineers Inc., 2014. (ARCS 2014 - 2014 Workshop Proceedings on Architecture of Computing Systems).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - PBA2CUDA
T2 - 27th International Conference on Architecture of Computing Systems Workshop, ARCS 2014
AU - Zgeras, Ioannis
AU - Brehm, Jürgen
AU - Knoppik, Michael
PY - 2014
Y1 - 2014
N2 - To increase the performance of a program, developers have to parallelize their code due to trends in modern hardware development. Since the parallelization of source code is paired with additional programming effort, it is desirable to provide developers with tools to help them by parallelizing source code. PBA2CUDA is a framework for semi-automatically parallelization of source code specialized in the algorithm class of Population Based Algorithms.
AB - To increase the performance of a program, developers have to parallelize their code due to trends in modern hardware development. Since the parallelization of source code is paired with additional programming effort, it is desirable to provide developers with tools to help them by parallelizing source code. PBA2CUDA is a framework for semi-automatically parallelization of source code specialized in the algorithm class of Population Based Algorithms.
UR - http://www.scopus.com/inward/record.url?scp=85117394107&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85117394107
T3 - ARCS 2014 - 2014 Workshop Proceedings on Architecture of Computing Systems
BT - ARCS 2014
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 25 February 2014 through 28 February 2014
ER -