Some simplified performance modeling techniques with applications to a new ring-structured microcomputer network

Author(s):  
J. Spragins ◽  
H. Jafari ◽  
T. Lewis
2021 ◽  
Vol 809 (1) ◽  
pp. 012022
Author(s):  
Eman Abo-Elkhair ◽  
Hossam Kotb ◽  
Gamal M. Mahmoud ◽  
Nabil H. Abbasy ◽  
Mahmoud Elgammal

1983 ◽  
Vol 109 (5) ◽  
pp. 1082-1098 ◽  
Author(s):  
Gary F. Goforth ◽  
James P. Heaney ◽  
Wayne C. Huber

2015 ◽  
Vol 8 (1) ◽  
pp. 22-46 ◽  
Author(s):  
Björn Gmeiner ◽  
Ulrich Rüde ◽  
Holger Stengel ◽  
Christian Waluga ◽  
Barbara Wohlmuth

In this work, we extend Achi Brandt's notion of textbook multigrid efficiency (TME) to massively parallel algorithms. Using a finite element based geometric multigrid implementation, we recall the classical view on TME with experiments for scalar linear equations with constant and varying coefficients as well as linear systems with saddle-point structure. To extend the idea of TME to the parallel setting, we give a new characterization of a work unit (WU) in an architecture-aware fashion by taking into account performance modeling techniques. We illustrate our newly introduced parallel TME measure by large-scale computations, solving problems with up to 200 billion unknowns on a TOP-10 supercomputer.


Author(s):  
Tom Carolan ◽  
Shelly Scott-Nash ◽  
Kevin Corker ◽  
David Kellmeyer

Human performance modeling provides a complementary approach to human usability testing methods for evaluating the impact of advanced interface features on operator performance under a variety of conditions and design alternatives. This paper describes ongoing work performed by Micro Analysis & Design, Inc. (MA&D) to apply human performance modeling techniques to support usability study and system design objectives for an advanced workstation.


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