Standard
Extending distributed shared memory for the cell broadband engine to a channel model. / Skovhede, Kenneth; Larsen, Morten Nørgaard; Vinter, Brian.
Applied Parallel and Scientific Computing: 10th International Conference, PARA 2010, Reykjavík, Iceland, June 6-9, 2010, Revised Selected Papers, Part I. red. / Kristján Jónasson. Bind Part I Springer, 2012. s. 108-118 (Lecture notes in computer science, Bind 7133).
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Harvard
Skovhede, K, Larsen, MN & Vinter, B 2012,
Extending distributed shared memory for the cell broadband engine to a channel model. i K Jónasson (red.),
Applied Parallel and Scientific Computing: 10th International Conference, PARA 2010, Reykjavík, Iceland, June 6-9, 2010, Revised Selected Papers, Part I. bind Part I, Springer, Lecture notes in computer science, bind 7133, s. 108-118, 10th International Conference on Applied Parallel and Scientific Computing, Reykjavik, Island,
06/06/2010.
https://doi.org/10.1007/978-3-642-28151-8_11
APA
Skovhede, K., Larsen, M. N., & Vinter, B. (2012).
Extending distributed shared memory for the cell broadband engine to a channel model. I K. Jónasson (red.),
Applied Parallel and Scientific Computing: 10th International Conference, PARA 2010, Reykjavík, Iceland, June 6-9, 2010, Revised Selected Papers, Part I (Bind Part I, s. 108-118). Springer. Lecture notes in computer science Bind 7133
https://doi.org/10.1007/978-3-642-28151-8_11
Vancouver
Skovhede K, Larsen MN, Vinter B.
Extending distributed shared memory for the cell broadband engine to a channel model. I Jónasson K, red., Applied Parallel and Scientific Computing: 10th International Conference, PARA 2010, Reykjavík, Iceland, June 6-9, 2010, Revised Selected Papers, Part I. Bind Part I. Springer. 2012. s. 108-118. (Lecture notes in computer science, Bind 7133).
https://doi.org/10.1007/978-3-642-28151-8_11
Author
Skovhede, Kenneth ; Larsen, Morten Nørgaard ; Vinter, Brian. / Extending distributed shared memory for the cell broadband engine to a channel model. Applied Parallel and Scientific Computing: 10th International Conference, PARA 2010, Reykjavík, Iceland, June 6-9, 2010, Revised Selected Papers, Part I. red. / Kristján Jónasson. Bind Part I Springer, 2012. s. 108-118 (Lecture notes in computer science, Bind 7133).
Bibtex
@inproceedings{8c4f2dc77c094ea2b10654838f40ed4c,
title = "Extending distributed shared memory for the cell broadband engine to a channel model",
abstract = "As the performance gains from traditional processors decline, alternative processor designs are becoming available. One such processor is the CELL-BE processor, which theoretically can deliver a sustained performance close to 205 GFLOPS per processor[10]. Unfortunately, the high performance comes at the price of a quite complex programming model. In this paper we present an easy-to-use, CSP-like, communication method, which enables transfers of shared memory objects. The channel based communication method can significantly reduce the complexity of massively parallel programs. By implementing a few scientific computational cores we show that performance and scalability of the system is acceptable for most problems.",
keywords = "CELL-BE, channel communication, CSP, DSMCBE",
author = "Kenneth Skovhede and Larsen, {Morten N{\o}rgaard} and Brian Vinter",
year = "2012",
doi = "10.1007/978-3-642-28151-8_11",
language = "English",
isbn = "978-3-642-28150-1",
volume = "Part I",
series = "Lecture notes in computer science",
publisher = "Springer",
pages = "108--118",
editor = "Kristj{\'a}n J{\'o}nasson",
booktitle = "Applied Parallel and Scientific Computing",
address = "Switzerland",
note = "null ; Conference date: 06-06-2010 Through 09-06-2010",
}
RIS
TY - GEN
T1 - Extending distributed shared memory for the cell broadband engine to a channel model
AU - Skovhede, Kenneth
AU - Larsen, Morten Nørgaard
AU - Vinter, Brian
N1 - Conference code: 10
PY - 2012
Y1 - 2012
N2 - As the performance gains from traditional processors decline, alternative processor designs are becoming available. One such processor is the CELL-BE processor, which theoretically can deliver a sustained performance close to 205 GFLOPS per processor[10]. Unfortunately, the high performance comes at the price of a quite complex programming model. In this paper we present an easy-to-use, CSP-like, communication method, which enables transfers of shared memory objects. The channel based communication method can significantly reduce the complexity of massively parallel programs. By implementing a few scientific computational cores we show that performance and scalability of the system is acceptable for most problems.
AB - As the performance gains from traditional processors decline, alternative processor designs are becoming available. One such processor is the CELL-BE processor, which theoretically can deliver a sustained performance close to 205 GFLOPS per processor[10]. Unfortunately, the high performance comes at the price of a quite complex programming model. In this paper we present an easy-to-use, CSP-like, communication method, which enables transfers of shared memory objects. The channel based communication method can significantly reduce the complexity of massively parallel programs. By implementing a few scientific computational cores we show that performance and scalability of the system is acceptable for most problems.
KW - CELL-BE
KW - channel communication
KW - CSP
KW - DSMCBE
UR - http://www.scopus.com/inward/record.url?scp=84857466990&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-28151-8_11
DO - 10.1007/978-3-642-28151-8_11
M3 - Article in proceedings
AN - SCOPUS:84857466990
SN - 978-3-642-28150-1
VL - Part I
T3 - Lecture notes in computer science
SP - 108
EP - 118
BT - Applied Parallel and Scientific Computing
A2 - Jónasson, Kristján
PB - Springer
Y2 - 6 June 2010 through 9 June 2010
ER -