Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Rasquinha, Mitchelle"'
Autor:
Rasquinha, Mitchelle, Tabak, Gil
As deep learning methodologies have developed, it has been generally agreed that increasing neural network size improves model quality. However, this is at the expense of memory and compute requirements, which also need to be increased. Various effic
Externí odkaz:
http://arxiv.org/abs/2408.02897
Autor:
Rasquinha, Mitchelle
The advent of many core architectures has coincided with the energy and power limited design of modern processors. Projections for main memory clearly show widening of the processor-memory gap. Cache capacity increased to help reduce this gap will le
Externí odkaz:
http://hdl.handle.net/1853/42715
Autor:
Wang, Jun, Beu, Jesse, Bheda, Rishiraj, Conte, Tom, Dong, Zhenjiang, Kersey, Chad, Rasquinha, Mitchelle, Riley, George, Song, William, Xiao, He, Xu, Peng, Yalamanchili, Sudhakar
Publikováno v:
2014 IEEE International Symposium on Performance Analysis of Systems & Software (ISPASS); 2014, p106-115, 10p
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Rasquinha, Mitchelle, Choudhary, Dhruv, Chatterjee, Subho, Mukhopadhyay, Saibal, Yalamanchili, Sudhakar
Publikováno v:
Proceedings of the 16th ACM/IEEE International Symposium: Low Power Electronics & Design; 8/18/2010, p389-394, 6p
Publikováno v:
2009 IEEE/ACM International Conference on Computer-Aided Design - Digest of Technical Papers; Nov2009, p474-477, 4p