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Software Technology for A/V Systems
Published in Al Kovalick, Video Systems in an IT Environment, 2013
The jump from 32- to 64-bit processing represents an exponential advance in computing power, not just a factor of two. With 32-bit registers, a processor has a dynamic range of 232, or 4.3 billion. With 64-bit registers, the dynamic range leaps to 264, or 18 billion billion. Compute speed and memory addressing range are improved. Many popular CPUs offer 64-bit modes. Microsoft has a 64-bit version of XP/Vista and Windows Server. These are joining the mature UNIX/64 and Linux/64 choices. Few A/V applications have been written to take advantage of 64-bit computing, but this will change as 64-bit computing becomes more mature. Porting a native 32-bit application to take advantage of 64 bits is a painful experience, so most vendors will not do it. However, new applications may well be written for the 64-bit mode.
A direct method for the extension of FastSim under non-Hertzian contact conditions
Published in Vehicle System Dynamics, 2022
J. Gómez-Bosch, J. Giner-Navarro, J. Carballeira, L. Baeza
Figure 8 compares the algorithm speed with respect to the steady-state CONTACT version used by the authors. To this aim, computational times required by steady-state CONTACT and nH-FastSim are collected for simulations run in Matlab© through a PC with the following specifications: Intel(R) Core (TM) i7-9700 CPU 3.0 GHz with 64.00 GB of RAM and 64-bit computing. For the same study case, Figure 8A plots the absolute computational time required by both methods for a sweep in the number of elements in contact ; the creepage values and the lateral displacement are randomly selected according to a uniform distribution. Figure 8B shows the computational performance through the ratio between the calculation times computed for both methods for the same study cases. In general, the times associated with nH-FastSim are one order below the steady-state CONTACT programmed by the authors, performance that will be different from other implementations and enhancements (such as those proposed in Ref. [22]). The trend of the increase in computational cost with the number of elements is approximately linear when it is plotted on a logarithmic scale.
Status of transforming stormwater drainage to a systems approach to urban water cycle management – moving beyond green pilots
Published in Australasian Journal of Water Resources, 2018
The integrated nature of contemporary water management approaches is different to the objectives and design solutions envisaged in 1987. Urban water management is now required to consider multiple objectives (including resilience, liveability, sustainability and affordability) and the perspective of many disciplines. Advances in computing power, more available data and associated research also allows the analysis of increasingly complex systems to understand the trade-offs between multiple objectives (Coombes and Barry 2014). The stormwater industry now has access to faster computers with greater numerical computation capability. This has arisen through improvements to computer processors (CPU’s) including 64-bit computing, multi-core processing, and the use of graphics processing units (GPU’s). In addition, the internet has become a ubiquitous part of life. The internet provides urban stormwater managers with enhanced research, data gathering, modelling and communication capability. A deeper reliance on spatial information systems or Geographical Information Systems (GIS) has also evolved since 1987. These systems are used for the storage, handling and display of physical catchment data, catchment parameters and infrastructure data. Spatial information systems have become an important component of stormwater management.