42 research outputs found
El asiento de avería y el origen de la compañía privilegiada en España
El presente artículo analiza cómo la autonomía patrimonial del capital destinado a la organización de las flotas con América acabó adquiriendo la forma de una verdadera compañía privilegiada de comercio, antecedente directo de la actual sociedad anónima, cuando la Corona dejó por entero a los particulares la administración de la avería a través del sistema de asientos. Los paralelismos de los asientos con las compañías llegaron a ser tan grandes que los funcionarios a quienes el conde-duque de Olivares encomendó el estudio de las compañías extranjeras, con objeto de introducirlas en España, vieron en los asientos una verdadera compañía privilegiada.This paper analyses how the progressive autonomy of the capital used to arrange the treasure fleets from Seville to America derived in a real chartered company, a precedent of today’s joint-stock company, when the Crown finally privatised it through the asientos de avería. The parallelism among the asientos and the companies were so noticeable that the public officers appointed by the Count-Duke of Olivares to study the foreign companies couldn’t detect any difference between both institutions.Publicad
Free and faithful in Christ. : Moral theology for priest and laity
Great Britainxiv, 492 p.; 23 cm
Free and faithful in Christ : Moral theology for priests and laity. : V. 3 : LIght to the world.
s.l.V. 3.: 437 p.; 21 cm
Free and faithful in Christ : Moral theology for priests and laity. : V. 2 : The truth will set you free.
s.l.xii, 580 p.; 21 cm
Early Experience on Running OpenStaPLE on DAVIDE
In this contribution we measure the computing and energy performance of the recently developed DAVIDE HPC-cluster, a massively parallel machine based on IBM POWER CPUs and NVIDIA Pascal GPUs. We use as an application benchmark the OpenStaPLE Lattice QCD code, written using the OpenACC programming framework. Our code exploits the computing performance of GPUs through the use of OpenACC directives, and uses OpenMPI to manage the parallelism among several GPUs. We analyze the speed-up and the aggregate performance of the code, and try to identify possible bottlenecks that harm performances. Using the power monitor tools available on DAVIDE we also discuss some energy aspects pointing out the best trade-offs between time-to-solution and energy-to-solution