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Dissertations / Theses on the topic 'High-power computing'

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Published: 4 June 2025

Last updated: 1 August 2025

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1

Choi, Jee Whan. "Power and performance modeling for high-performance computing algorithms." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/53561.

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The overarching goal of this thesis is to provide an algorithm-centric approach to analyzing the relationship between time, energy, and power. This research is aimed at algorithm designers and performance tuners so that they may be able to make decisions on how algorithms should be designed and tuned depending on whether the goal is to minimize time or to minimize energy on current and future systems. First, we present a simple analytical cost model for energy and power. Assuming a simple von Neumann architecture with a two-level memory hierarchy, this model pre- dicts energy and power for alg

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2

Borghesi, Andrea <1988&gt. "Power-Aware Job Dispatching in High Performance Computing Systems." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amsdottorato.unibo.it/7982/1/master.pdf.

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This works deals with the power-aware job dispatching problem in supercomputers; broadly speaking the dispatching consists of assigning finite capacity resources to a set of activities, with a special concern toward power and energy efficient solutions. We introduce novel optimization approaches to address its multiple aspects. The proposed techniques have a broad application range but are aimed at applications in the field of High Performance Computing (HPC) systems. Devising a power-aware HPC job dispatcher is a complex, where contrasting goals must be satisfied. Furthermore, the online

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3

MA, LIANG. "Low power and high performance heterogeneous computing on FPGAs." Doctoral thesis, Politecnico di Torino, 2019. http://hdl.handle.net/11583/2727228.

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ROOZMEH, MEHDI. "High Performance Computing via High Level Synthesis." Doctoral thesis, Politecnico di Torino, 2018. http://hdl.handle.net/11583/2710706.

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As more and more powerful integrated circuits are appearing on the market, more and more applications, with very different requirements and workloads, are making use of the available computing power. This thesis is in particular devoted to High Performance Computing applications, where those trends are carried to the extreme. In this domain, the primary aspects to be taken into consideration are (1) performance (by definition) and (2) energy consumption (since operational costs dominate over procurement costs). These requirements can be satisfied more easily by deploying heterogeneous platfor

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Bartolini, Andrea <1981&gt. "Dynamic power management: from portable devices to high performance computing." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2011. http://amsdottorato.unibo.it/3558/1/bartolini_andrea_tesi.pdf.

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Electronic applications are nowadays converging under the umbrella of the cloud computing vision. The future ecosystem of information and communication technology is going to integrate clouds of portable clients and embedded devices exchanging information, through the internet layer, with processing clusters of servers, data-centers and high performance computing systems. Even thus the whole society is waiting to embrace this revolution, there is a backside of the story. Portable devices require battery to work far from the power plugs and their storage capacity does not scale as the increasin

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Bartolini, Andrea <1981&gt. "Dynamic power management: from portable devices to high performance computing." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2011. http://amsdottorato.unibo.it/3558/.

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Electronic applications are nowadays converging under the umbrella of the cloud computing vision. The future ecosystem of information and communication technology is going to integrate clouds of portable clients and embedded devices exchanging information, through the internet layer, with processing clusters of servers, data-centers and high performance computing systems. Even thus the whole society is waiting to embrace this revolution, there is a backside of the story. Portable devices require battery to work far from the power plugs and their storage capacity does not scale as the increasin

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7

Ge, Rong. "Theories and Techniques for Efficient High-End Computing." Diss., Virginia Tech, 2007. http://hdl.handle.net/10919/28863.

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Today, power consumption costs supercomputer centers millions of dollars annually and the heat produced can reduce system reliability and availability. Achieving high performance while reducing power consumption is challenging since power and performance are inextricably interwoven; reducing power often results in degradation in performance. This thesis aims to address these challenges by providing theories, techniques, and tools to 1) accurately predict performance and improve it in systems with advanced hierarchical memories, 2) understand and evaluate power and its impacts on performance,

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8

Zhang, Ziming. "Adaptive Power Management for Autonomic Resource Configuration in Large-scale Computer Systems." Thesis, University of North Texas, 2015. https://digital.library.unt.edu/ark:/67531/metadc804939/.

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In order to run and manage resource-intensive high-performance applications, large-scale computing and storage platforms have been evolving rapidly in various domains in both academia and industry. The energy expenditure consumed to operate and maintain these cloud computing infrastructures is a major factor to influence the overall profit and efficiency for most cloud service providers. Moreover, considering the mitigation of environmental damage from excessive carbon dioxide emission, the amount of power consumed by enterprise-scale data centers should be constrained for protection of the en

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9

Zheng, Li. "Power distribution network modeling and microfluidic cooling for high-performance computing systems." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/54449.

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A silicon interposer platform with microfluidic cooling is proposed for high-performance computing systems. The key components and technologies for the proposed platform, including electrical and fluidic microbumps, microfluidic vias and heat sinks, and simultaneous flip-chip bonding of the electrical and fluidic microbumps, are developed and demonstrated. Fine-pitch electrical microbumps of 25 µm diameter and 50 µm pitch, fluidic vias of 100 µm diameter, and annular-shaped fluidic microbumps of 150 µm inner diameter and 210 µm outer diameter were fabricated and bonded. Electrical and fluidic

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10

Tang, Kun. "Improving the Performance and Energy Efficiency for Power-constrained High Performance Computing." Diss., Temple University Libraries, 2017. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/467325.

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Computer and Information Science<br>Ph.D.<br>The continuous growth in computing capability has expedited the scientific discovery and enabled scientific applications to simulate physical phenomena for increased problem sizes. However, as the computing capability escalates, power constraints are becoming a first-order concern for high performance computing (HPC) facilities. For example, the U.S. Department of Energy has set a power constraint of 20 MW to each exascale machine. How to achieve the target performance under power constraints remains to be an issue. Therefore, efficient operation of

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11

Amsler, Christopher. "The effects of hardware acceleration on power usage in basic high-performance computing." Thesis, Kansas State University, 2012. http://hdl.handle.net/2097/13742.

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Master of Science<br>Department of Electrical Engineering<br>Dwight Day<br>Power consumption has become a large concern in many systems including portable electronics and supercomputers. Creating efficient hardware that can do more computation with less power is highly desirable. This project proposes a possible avenue to complete this goal by hardware accelerating a conjugate gradient solve using a Field Programmable Gate Array (FPGA). This method uses three basic operations frequently: dot product, weighted vector addition, and sparse matrix vector multiply. Each operation was accelerated on

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12

Khasawneh, Shadi Turki. "Low-power high-performance register file design for chip multiprocessors." Diss., Online access via UMI:, 2006.

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13

Ahmed, Kishwar. "Energy Demand Response for High-Performance Computing Systems." FIU Digital Commons, 2018. https://digitalcommons.fiu.edu/etd/3569.

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The growing computational demand of scientific applications has greatly motivated the development of large-scale high-performance computing (HPC) systems in the past decade. To accommodate the increasing demand of applications, HPC systems have been going through dramatic architectural changes (e.g., introduction of many-core and multi-core systems, rapid growth of complex interconnection network for efficient communication between thousands of nodes), as well as significant increase in size (e.g., modern supercomputers consist of hundreds of thousands of nodes). With such changes in architect

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14

Song, Shuaiwen. "Power, Performance and Energy Models and Systems for Emergent Architectures." Diss., Virginia Tech, 2013. http://hdl.handle.net/10919/19316.

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Massive parallelism combined with complex memory hierarchies and heterogeneity in high-performance computing (HPC) systems form a barrier to efficient application and architecture design. The performance achievements of the past must continue over the next decade to address the needs of scientific simulations. However, building an exascale system by 2022 that uses less than 20 megawatts will require significant innovations in power and performance efficiency.<br /> A key limitation of past approaches is a lack of power-performance policies allowing users to quantitatively bound the effects

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15

Shah, Ankur Savailal. "Prediction Models for Multi-dimensional Power-Performance Optimization on Many Cores." Thesis, Virginia Tech, 2008. http://hdl.handle.net/10919/31826.

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Power has become a primary concern for HPC systems. Dynamic voltage and frequency scaling (DVFS) and dynamic concurrency throttling (DCT) are two software tools (or knobs) for reducing the dynamic power consumption of HPC systems. To date, few works have considered the synergistic integration of DVFS and DCT in performance-constrained systems, and, to the best of our knowledge, no prior research has developed application-aware simultaneous DVFS and DCT controllers in real systems and parallel programming frameworks. We present a multi-dimensional, online performance prediction framework, which

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Cao, Zhenwei. "Power Saving Analysis and Experiments for Large Scale Global Optimization." Thesis, Virginia Tech, 2009. http://hdl.handle.net/10919/33944.

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Green computing, an emerging field of research that seeks to reduce excess power consumption in high performance computing (HPC), is gaining popularity among researchers. Research in this field often relies on simulation or only uses a small cluster, typically 8 or 16 nodes, because of the lack of hardware support. In contrast, System G at Virginia Tech is a 2592 processor supercomputer equipped with power aware components suitable for large scale green computing research. DIRECT is a deterministic global optimization algorithm, implemented in the mathematical software package VTDIRECT95. Th

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Ceccolini, Enrico. "A Machine Learning and Constraint Programming Approach to Power-Aware Job Dispatching in HPC Systems." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/20585/.

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The demand for more powerful supercomputers continues to increase along with the types of applications submitted by researchers. Recent developments in the analysis of big data and new paradigms of programming as the map-reduce, put further emphasis on short jobs. Hence, HPC job dispatcher have to rapidly process a large number of short jobs in real time taking into account their energy needs. Since these can be similar, it is effective to exploit past executions information quickly. The existing Machine Learning methods need to be trained on new data, so we build a very simple data-driven mo

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18

Kailasam, Umadevi. "High level VHDL modeling of a low-power ASIC for a tour guide." [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000262.

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19

Etinski, Maja. "DVFS power management in HPC systems." Doctoral thesis, Universitat Politècnica de Catalunya, 2012. http://hdl.handle.net/10803/96192.

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Recent increase in performance of High Performance Computing (HPC) systems has been followed by even higher increase in power consumption. Power draw of modern supercomputers leads to very high operating costs and reliability concerns. Furthermore, it has negative consequences on the environment. Accordingly, over the last decade there have been many works dealing with power/energy management in HPC systems. Since CPUs accounts for a high portion of the total system power consumption, our work aims at CPU power reduction. Dynamic Voltage Frequency Scaling (DVFS) is a widely used techniqu

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20

Tunc, Cihan. "Autonomic Cloud Resource Management." Diss., The University of Arizona, 2015. http://hdl.handle.net/10150/347144.

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The power consumption of data centers and cloud systems has increased almost three times between 2007 and 2012. The traditional resource allocation methods are typically designed for high performance as the primary objective to support peak resource requirements. However, it is shown that server utilization is between 12% and 18%, while the power consumption is close to those at peak loads. Hence, there is a pressing need for devising sophisticated resource management approaches. State of the art dynamic resource management schemes typically rely on only a single resource such as core number,

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21

Curtis-Maury, Matthew. "Improving the Efficiency of Parallel Applications on Multithreaded and Multicore Systems." Diss., Virginia Tech, 2008. http://hdl.handle.net/10919/26697.

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The scalability of parallel applications executing on multithreaded and multicore multiprocessors is often quite limited due to large degrees of contention over shared resources on these systems. In fact, negative scalability frequently occurs such that a non-negligable performance loss is observed through the use of more processors and cores. In this dissertation, we present a prediction model for identifying efficient operating points of concurrency in multithreaded scientific applications in terms of both performance as a primary objective and power secondarily. We also present a runtime sy

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22

Li, Dong. "Scalable and Energy Efficient Execution Methods for Multicore Systems." Diss., Virginia Tech, 2011. http://hdl.handle.net/10919/26098.

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Multicore architectures impose great pressure on resource management. The exploration spaces available for resource management increase explosively, especially for large-scale high end computing systems. The availability of abundant parallelism causes scalability concerns at all levels. Multicore architectures also impose pressure on power management. Growth in the number of cores causes continuous growth in power. In this dissertation, we introduce methods and techniques to enable scalable and energy efficient execution of parallel applications on multicore architectures. We study strategies

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23

Woo, Dong Hyuk. "Designing heterogeneous many-core processors to provide high performance under limited chip power budget." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/37294.

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This thesis describes the efficient design of a future many-core processor that can provide higher performance under the limited chip power budget. To achieve such a goal, this thesis first develops an analytical framework within which computer architects can estimate achievable performance improvement of different many-core architectures given the same power budget. From this study, this thesis found that a future many-core processor needs (1) energy-efficient parallel cores and (2) a high-performance sequential core. Based on these observations, this thesis proposes an energy-efficient broad

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24

Green, Robert C. II. "Novel Computational Methods for the Reliability Evaluation of Composite Power Systems using Computational Intelligence and High Performance Computing Techniques." University of Toledo / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1338894641.

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25

Schultek, Brian Robert. "Design and Implementation of the Heterogeneous Computing Device Management Architecture." University of Dayton / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1417801414.

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26

Shang, Pengju. "Research in high performance and low power computer systems for data-intensive environment." Doctoral diss., University of Central Florida, 2011. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5033.

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According to the data affinity, DAFA re-organizes data to maximize the parallelism of the affinitive data, and also subjective to the overall load balance. This enables DAFA to realize the maximum number of map tasks with data-locality. Besides the system performance, power consumption is another important concern of current computer systems. In the U.S. alone, the energy used by servers which could be saved comes to 3.17 million tons of carbon dioxide, or 580,678 cars {Kar09}. However, the goals of high performance and low energy consumption are at odds with each other. An ideal power managem

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27

Savoie, Lee, David K. Lowenthal, Bronis R. de Supinski, et al. "I/O Aware Power Shifting." IEEE, 2016. http://hdl.handle.net/10150/622666.

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Power limits on future high-performance computing (HPC) systems will constrain applications. However, HPC applications do not consume constant power over their lifetimes. Thus, applications assigned a fixed power bound may be forced to slow down during high-power computation phases, but may not consume their full power allocation during low-power I/O phases. This paper explores algorithms that leverage application semantics-phase frequency, duration and power needs-to shift unused power from applications in I/O phases to applications in computation phases, thus improving system-wide performanc

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Patki, Tapasya. "The Case For Hardware Overprovisioned Supercomputers." Diss., The University of Arizona, 2015. http://hdl.handle.net/10150/577307.

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Power management is one of the most critical challenges on the path to exascale supercomputing. High Performance Computing (HPC) centers today are designed to be worst-case power provisioned, leading to two main problems: limited application performance and under-utilization of procured power. In this dissertation we introduce hardware overprovisioning: a novel, flexible design methodology for future HPC systems that addresses the aforementioned problems and leads to significant improvements in application and system performance under a power constraint. We first establish that choosing the ri

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Schöne, Robert. "A Unified Infrastructure for Monitoring and Tuning the Energy Efficiency of HPC Applications." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-230356.

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High Performance Computing (HPC) has become an indispensable tool for the scientific community to perform simulations on models whose complexity would exceed the limits of a standard computer. An unfortunate trend concerning HPC systems is that their power consumption under high-demanding workloads increases. To counter this trend, hardware vendors have implemented power saving mechanisms in recent years, which has increased the variability in power demands of single nodes. These capabilities provide an opportunity to increase the energy efficiency of HPC applications. To utilize these hardwar

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Adhinarayanan, Vignesh. "Models and Techniques for Green High-Performance Computing." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/98660.

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High-performance computing (HPC) systems have become power limited. For instance, the U.S. Department of Energy set a power envelope of 20MW in 2008 for the first exascale supercomputer now expected to arrive in 2021--22. Toward this end, we seek to improve the greenness of HPC systems by improving their performance per watt at the allocated power budget. In this dissertation, we develop a series of models and techniques to manage power at micro-, meso-, and macro-levels of the system hierarchy, specifically addressing data movement and heterogeneity. We target the chip interconnect at the mi

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Huang, Song. "Enhancing Storage Dependability and Computing Energy Efficiency for Large-Scale High Performance Computing Systems." Thesis, University of North Texas, 2019. https://digital.library.unt.edu/ark:/67531/metadc1505142/.

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With the advent of information explosion age, larger capacity disk drives are used to store data and powerful devices are used to process big data. As the scale and complexity of computer systems increase, we expect these systems to provide dependable and energy-efficient services and computation. Although hard drives are reliable in general, they are the most commonly replaced hardware components. Disk failures cause data corruption and even data loss, which can significantly affect system performance and financial losses. In this dissertation research, I analyze different manifestations of d

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32

Rubeck, Christophe. "Calcul hautes performances pour les formulations intégrales en électromagnétisme basses fréquences." Phd thesis, Université de Grenoble, 2012. http://tel.archives-ouvertes.fr/tel-00793505.

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Les méthodes intégrales sont des méthodes particulièrement bien adaptées à la modélisation des systèmes électromagnétiques car contrairement aux méthodes par éléments finis elles ne nécessitent pas le maillage des matériaux inactifs tel que l'air. Ces modèles sont donc légers en termes de nombre de degrés de liberté. Cependant ceux sont des méthodes à interactions totales qui génèrent des matrices de systèmes d'équations pleines. Ces matrices sont longues à calculer en temps processeur et coûteuses à stocker dans la mémoire vive de l'ordinateur. Nous réduisons dans ces travaux les temps de cal

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Tsafack, Chetsa Ghislain Landry. "System Profiling and Green Capabilities for Large Scale and Distributed Infrastructures." Phd thesis, Ecole normale supérieure de lyon - ENS LYON, 2013. http://tel.archives-ouvertes.fr/tel-00946583.

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Nowadays, reducing the energy consumption of large scale and distributed infrastructures has truly become a challenge for both industry and academia. This is corroborated by the many efforts aiming to reduce the energy consumption of those systems. Initiatives for reducing the energy consumption of large scale and distributed infrastructures can without loss of generality be broken into hardware and software initiatives.Unlike their hardware counterpart, software solutions to the energy reduction problem in large scale and distributed infrastructures hardly result in real deployments. At the o

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Gnanavignesh, R. "Parallel Computing Techniques for High Speed Power System Solutions." Thesis, 2020. https://etd.iisc.ac.in/handle/2005/4981.

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Modern power systems are enormously large and complex entities. Planning, maintaining and operating such a system would be cumbersome if it were not for the wide assortment of analytical methods available to assist the power engineer. With the advent of interconnected systems came the necessity of developing techniques for enabling the power system operator to determine the electrical state of the network and to predict how it would respond to different disturbances such that reliability and other economic criteria are always met. Increase in system size, introduction of complex controls, unce

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Luo, Fengji. "Advanced analysis methods for power system with high renewable penetrations." Thesis, 2014. http://hdl.handle.net/1959.13/1042442.

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Research Doctorate - Doctor of Philosophy (PhD)<br>In recent years, power system has been undergoing rapid development. One of the most significant trends of modern power system is the increasing penetration of the renewable energy sources. Most common renewable energies include the wind power, solar power, etc. The integration of renewable energy can lower the CO2 emission and release the pressure of the global climate warming. However, the stochastic nature and uncertain power output of many kinds of renewable energy sources challenge the grid in the aspects of effective data collection and

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Zamani, Reza. "Run-time Predictive Modeling of Power and Performance via Time-Series in High Performance Computing." Thesis, 2012. http://hdl.handle.net/1974/7639.

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Pressing demands for less power consumption of processors while delivering higher performance levels have put an extra attention on efficiency of the systems. Efficient management of resources in the current computing systems, given their increasing number of entities and complexity, requires accurate predictive models that can easily adapt to system and application changes. Through performance monitoring counter (PMC) events, in modern processors, a vast amount of information can be obtained from the system. This thesis provides a methodology to efficiently choose such events for power modeli

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Mitra, Gaurav. "Low-power System-on-Chip Processors for Energy Efficient High Performance Computing: The Texas Instruments Keystone II." Phd thesis, 2017. http://hdl.handle.net/1885/132717.

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The High Performance Computing (HPC) community recognizes energy consumption as a major problem. Extensive research is underway to identify means to increase energy efficiency of HPC systems including consideration of alternative building blocks for future systems. This thesis considers one such system, the Texas Instruments Keystone II, a heterogeneous Low-Power System-on-Chip (LPSoC) processor that combines a quad core ARM CPU with an octa-core Digital Signal Processor (DSP). It was first released in 2012. Four issues are considered: i) maxi

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BIAGIONI, ANDREA. "Characterization and optimization of network traffic in cortical simulation." Doctoral thesis, 2018. http://hdl.handle.net/11573/1082376.

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Considering the great variety of obstacles the Exascale systems have to face in the next future, a deeper attention will be given in this thesis to the interconnect and the power consumption. The data movement challenge involves the whole hierarchical organization of components in HPC systems — i.e. registers, cache, memory, disks. Running scientific applications needs to provide the most effective methods of data transport among the levels of hierarchy. On current petaflop systems, memory access at all the levels is the limiting factor in almost all applications. This drives the requi

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Gupta, Abhishek. "A Study On High Voltage AC Power Transmission Line Electric And Magnetic Field Coupling With Nearby Metallic Pipelines." Thesis, 2006. https://etd.iisc.ac.in/handle/2005/369.

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In the recent years, there has been a trend to run metallic pipelines carrying petroleum products and high voltage AC power lines parallel to each other in a relatively narrow strip of land. The case of electromagnetic interference between high voltage transmission lines and metallic pipelines has been a topic of major concern since the early 60’s. The main reasons for that are: • The ever increasing cost of right-of-ways, suitable for power lines and pipelines, along with recent environmental regulations, aiming to protect nature and wildlife, has forced various utilities to share common c

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Gupta, Abhishek. "A Study On High Voltage AC Power Transmission Line Electric And Magnetic Field Coupling With Nearby Metallic Pipelines." Thesis, 2006. http://hdl.handle.net/2005/369.

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In the recent years, there has been a trend to run metallic pipelines carrying petroleum products and high voltage AC power lines parallel to each other in a relatively narrow strip of land. The case of electromagnetic interference between high voltage transmission lines and metallic pipelines has been a topic of major concern since the early 60’s. The main reasons for that are: • The ever increasing cost of right-of-ways, suitable for power lines and pipelines, along with recent environmental regulations, aiming to protect nature and wildlife, has forced various utilities to share common cor

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(6838184), Parami Wijesinghe. "Neuro-inspired computing enhanced by scalable algorithms and physics of emerging nanoscale resistive devices." 2019.

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<p>Deep ‘Analog Artificial Neural Networks’ (AANNs) perform complex classification problems with high accuracy. However, they rely on humongous amount of power to perform the calculations, veiling the accuracy benefits. The biological brain on the other hand is significantly more powerful than such networks and consumes orders of magnitude less power, indicating some conceptual mismatch. Given that the biological neurons are locally connected, communicate using energy efficient trains of spikes, and the behavior is non-deterministic, incorporating these effects in Artificial Neural Networks (A

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Khubaib. "Performance and energy efficiency via an adaptive MorphCore architecture." Thesis, 2014. http://hdl.handle.net/2152/25092.

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The level of Thread-Level Parallelism (TLP), Instruction-Level Parallelism (ILP), and Memory-Level Parallelism (MLP) varies across programs and across program phases. Hence, every program requires different underlying core microarchitecture resources for high performance and/or energy efficiency. Current core microarchitectures are inefficient because they are fixed at design time and do not adapt to variable TLP, ILP, or MLP. I show that if a core microarchitecture can adapt to the variation in TLP, ILP, and MLP, significantly higher performance and/or energy efficiency can be achieved. I pr

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Κεραμίδας, Γεώργιος. "Αρχιτεκτονικές επεξεργαστών και μνημών ειδικού σκοπού για την υποστήριξη φερέγγυων (ασφαλών) δικτυακών υπηρεσιών". Thesis, 2008. http://nemertes.lis.upatras.gr/jspui/handle/10889/1037.

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Η ασφάλεια των υπολογιστικών συστημάτων αποτελεί πλέον μια πολύ ενεργή περιοχή και αναμένεται να γίνει μια νέα παράμετρος σχεδίασης ισάξια μάλιστα με τις κλασσικές παραμέτρους σχεδίασης των συστημάτων, όπως είναι η απόδοση, η κατανάλωση ισχύος και το κόστος. Οι φερέγγυες υπολογιστικές πλατφόρμες έχουν προταθεί σαν μια υποσχόμενη λύση, ώστε να αυξήσουν τα επίπεδα ασφάλειας των συστημάτων και να παρέχουν προστασία από μη εξουσιοδοτημένη άδεια χρήσης των πληροφοριών που είναι αποθηκευμένες σε ένα σύστημα. Ένα φερέγγυο σύστημα θα πρέπει να διαθέτει τους κατάλληλους μηχανισμούς, ώστε να είναι ικανό

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