Host plant preference and performance of the sibling species of butterflies Leptidea sinapis and Leptidea reali: a test of the trade-off hypothesis for food specialisation

Oecologia ◽  
2008 ◽  
Vol 159 (1) ◽  
pp. 127-137 ◽  
Author(s):  
Magne Friberg ◽  
Christer Wiklund
2015 ◽  
Vol 40 (3) ◽  
pp. 307-315 ◽  
Author(s):  
SÖREN NYLIN ◽  
LINA SÖDERLIND ◽  
GABRIELLA GAMBERALE‐STILLE ◽  
HÉLÈNE AUDUSSEAU ◽  
MARIA DE LA PAZ CELORIO‐MANCERA ◽  
...  

2006 ◽  
Vol 118 (3) ◽  
pp. 221-228 ◽  
Author(s):  
Qing-Bo Tang ◽  
Jin-Wei Jiang ◽  
Yun-Hua Yan ◽  
Joop J.A. Loon ◽  
Chen-Zhu Wang

2020 ◽  
Vol 45 (5) ◽  
pp. 1004-1014
Author(s):  
Maria Mullins ◽  
James Den Uyl ◽  
Emily Cruz ◽  
Samantha Trail ◽  
Benjamin Davidson ◽  
...  

2021 ◽  
Vol 18 (2) ◽  
pp. 1-24
Author(s):  
Nhut-Minh Ho ◽  
Himeshi De silva ◽  
Weng-Fai Wong

This article presents GRAM (<underline>G</underline>PU-based <underline>R</underline>untime <underline>A</underline>daption for <underline>M</underline>ixed-precision) a framework for the effective use of mixed precision arithmetic for CUDA programs. Our method provides a fine-grain tradeoff between output error and performance. It can create many variants that satisfy different accuracy requirements by assigning different groups of threads to different precision levels adaptively at runtime . To widen the range of applications that can benefit from its approximation, GRAM comes with an optional half-precision approximate math library. Using GRAM, we can trade off precision for any performance improvement of up to 540%, depending on the application and accuracy requirement.


2021 ◽  
Vol 34 (5) ◽  
pp. 303-318
Author(s):  
Maarten Baele ◽  
An Vermeulen ◽  
Dimitri Adons ◽  
Roos Peeters ◽  
Angelique Vandemoortele ◽  
...  

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