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Vectorization and mapping of software defined radio applications on heterogeneous multi-processor platforms

Tutkimustuotosvertaisarvioitu

Standard

Vectorization and mapping of software defined radio applications on heterogeneous multi-processor platforms. / Zaki, George F.; Plishker, William; Bhattacharyya, Shuvra S.; Clancy, Charles; Kuykendall, John.

2011 IEEE Workshop on Signal Processing Systems, SiPS 2011, Proceedings. 2011. s. 31-36 6088945.

Tutkimustuotosvertaisarvioitu

Harvard

Zaki, GF, Plishker, W, Bhattacharyya, SS, Clancy, C & Kuykendall, J 2011, Vectorization and mapping of software defined radio applications on heterogeneous multi-processor platforms. julkaisussa 2011 IEEE Workshop on Signal Processing Systems, SiPS 2011, Proceedings., 6088945, Sivut 31-36, Beirut, Libanon, 4/10/11. https://doi.org/10.1109/SiPS.2011.6088945

APA

Zaki, G. F., Plishker, W., Bhattacharyya, S. S., Clancy, C., & Kuykendall, J. (2011). Vectorization and mapping of software defined radio applications on heterogeneous multi-processor platforms. teoksessa 2011 IEEE Workshop on Signal Processing Systems, SiPS 2011, Proceedings (Sivut 31-36). [6088945] https://doi.org/10.1109/SiPS.2011.6088945

Vancouver

Zaki GF, Plishker W, Bhattacharyya SS, Clancy C, Kuykendall J. Vectorization and mapping of software defined radio applications on heterogeneous multi-processor platforms. julkaisussa 2011 IEEE Workshop on Signal Processing Systems, SiPS 2011, Proceedings. 2011. s. 31-36. 6088945 https://doi.org/10.1109/SiPS.2011.6088945

Author

Zaki, George F. ; Plishker, William ; Bhattacharyya, Shuvra S. ; Clancy, Charles ; Kuykendall, John. / Vectorization and mapping of software defined radio applications on heterogeneous multi-processor platforms. 2011 IEEE Workshop on Signal Processing Systems, SiPS 2011, Proceedings. 2011. Sivut 31-36

Bibtex - Lataa

@inproceedings{c77dbd9bf02c47199304e919c8ea4a4c,
title = "Vectorization and mapping of software defined radio applications on heterogeneous multi-processor platforms",
abstract = "A variety of multiprocessor architectures have proliferated even for off-the-shelf computing platforms. To improve performance and productivity for common heterogeneous systems, we have developed a workflow to generate efficient solutions. By starting with a formal description of an application and the mapping problem we are able to generate a range of designs that efficiently trade-of latency and throughput. In this approach, efficient utilization of SIMD cores is achieved by applying extensive block processing in conjunction with efficient mapping and scheduling. We demonstrate our approach through an integration into the GNU Radio environment for software defined radio system design.",
keywords = "Design Methodology, Graphic Processor Unit, Multiprocessor Scheduling, Software Defined Radio",
author = "Zaki, {George F.} and William Plishker and Bhattacharyya, {Shuvra S.} and Charles Clancy and John Kuykendall",
year = "2011",
doi = "10.1109/SiPS.2011.6088945",
language = "English",
isbn = "9781457719219",
pages = "31--36",
booktitle = "2011 IEEE Workshop on Signal Processing Systems, SiPS 2011, Proceedings",

}

RIS (suitable for import to EndNote) - Lataa

TY - GEN

T1 - Vectorization and mapping of software defined radio applications on heterogeneous multi-processor platforms

AU - Zaki, George F.

AU - Plishker, William

AU - Bhattacharyya, Shuvra S.

AU - Clancy, Charles

AU - Kuykendall, John

PY - 2011

Y1 - 2011

N2 - A variety of multiprocessor architectures have proliferated even for off-the-shelf computing platforms. To improve performance and productivity for common heterogeneous systems, we have developed a workflow to generate efficient solutions. By starting with a formal description of an application and the mapping problem we are able to generate a range of designs that efficiently trade-of latency and throughput. In this approach, efficient utilization of SIMD cores is achieved by applying extensive block processing in conjunction with efficient mapping and scheduling. We demonstrate our approach through an integration into the GNU Radio environment for software defined radio system design.

AB - A variety of multiprocessor architectures have proliferated even for off-the-shelf computing platforms. To improve performance and productivity for common heterogeneous systems, we have developed a workflow to generate efficient solutions. By starting with a formal description of an application and the mapping problem we are able to generate a range of designs that efficiently trade-of latency and throughput. In this approach, efficient utilization of SIMD cores is achieved by applying extensive block processing in conjunction with efficient mapping and scheduling. We demonstrate our approach through an integration into the GNU Radio environment for software defined radio system design.

KW - Design Methodology

KW - Graphic Processor Unit

KW - Multiprocessor Scheduling

KW - Software Defined Radio

UR - http://www.scopus.com/inward/record.url?scp=84055198557&partnerID=8YFLogxK

U2 - 10.1109/SiPS.2011.6088945

DO - 10.1109/SiPS.2011.6088945

M3 - Conference contribution

SN - 9781457719219

SP - 31

EP - 36

BT - 2011 IEEE Workshop on Signal Processing Systems, SiPS 2011, Proceedings

ER -