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We identify the core computing fields enabling future elastic systems: (i) hardware and software reusability, (ii) smart things, (iv) adaptation, and (v) human-based computing.
Solutions can be described as balancing delivery of physical services such as: (i) hardware (computing, storage and memory); (ii) communication (bandwidth and reliability) and scheduling; (iii) greedy analytics and mining processes with high in-memory and computing cycles requirements.
In this paper, we improve the work presented in [19] by proposing a novel fast shape- from-shading algorithm, and a system architecture that includes: (i) hardware accelerated modules, implementing the image pre-processing (i.e., image noise filtering and equalization) and the feature-based stereo-vision, and (ii) a processor running the proposed novel shape-from-shading (SfS) algorithm.
Some of these researches are based on (i) hardware with voltage and frequency control (e.g., DVFS [11]), (ii) resource allocation: Reducing power consumption by reducing the clock frequency of the processor has been widely studied [5, 12], Flautner et al. [13] explored a software managed dynamic voltage scaling policy that sets CPU speed on a task basis rather than by time intervals.
There is considerable work ahead, with several potentially fruitful research areas, including the development of (i) hardware and software for data acquisition, (ii) efficient, calibrated, automated detection and classification systems, and (iii) statistical approaches optimized for this application.
This article describes quality assurance for the RCSB PDB website at several distinct levels, including: (i) hardware redundancy and failover, (ii) testing protocols for weekly database updates, (iii) testing and release procedures for major software updates and (iv) miscellaneous monitoring and troubleshooting tools and practices.
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The reasons of the slow processing are both related to the hardware and the software: (i) hardware-wise, the algorithm and the input data were stored on an external memory, because of a lack of space in internal processor memory; (ii) software-wise the disparity computation is the bottleneck in the overall processing time.
Is it hardware?
"Honestly, I see hardware dials disappearing — and I like that," he said, standing next to the new small CLA sedan hidden behind curtains near the Mercedes display.
I don't feel that the industry in which I work – hardware 3D graphics – is particularly special in this regard.
— Jenna Wortham The Huawei Security Problem Isn't Hardware, It's Engineers.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com