Bibliografías temáticas / Commodity hardware

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Literatura académica sobre el tema "Commodity hardware"

Autor: Grafiati
Publicado: 4 de junio de 2021
Última modificación: 6 de septiembre de 2023

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Artículos de revistas sobre el tema "Commodity hardware"

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TIAN, Donghai, Mo CHEN, Changzhen HU y Xuanya LI. "Efficient Shellcode Detection on Commodity Hardware". IEICE Transactions on Information and Systems E96.D, n.º 10 (2013): 2272–76. http://dx.doi.org/10.1587/transinf.e96.d.2272.

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Nightingale, Edmund B., Daniel Peek, Peter M. Chen y Jason Flinn. "Parallelizing security checks on commodity hardware". ACM SIGARCH Computer Architecture News 36, n.º 1 (25 de marzo de 2008): 308–18. http://dx.doi.org/10.1145/1353534.1346321.

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Nightingale, Edmund B., Daniel Peek, Peter M. Chen y Jason Flinn. "Parallelizing security checks on commodity hardware". ACM SIGOPS Operating Systems Review 42, n.º 2 (25 de marzo de 2008): 308–18. http://dx.doi.org/10.1145/1353535.1346321.

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Nightingale, Edmund B., Daniel Peek, Peter M. Chen y Jason Flinn. "Parallelizing security checks on commodity hardware". ACM SIGPLAN Notices 43, n.º 3 (25 de marzo de 2008): 308–18. http://dx.doi.org/10.1145/1353536.1346321.

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Henry, Patrick J. y Patrick J. Henry. "Implant Hardware— Science or Commodity Development?" Journal of Dental Research 74, n.º 1 (enero de 1995): 301–2. http://dx.doi.org/10.1177/00220345950740010201.

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Handigolkar, Lata S., M. L. Kavya y P. D. Veena. "Iot Based Smart Poultry Farming using Commodity Hardware and Software". Bonfring International Journal of Software Engineering and Soft Computing 6, Special Issue (31 de octubre de 2016): 171–75. http://dx.doi.org/10.9756/bijsesc.8269.

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Ghosh, Saibal y Dharma Agrawal. "A Scalable Cloud Based on Commodity Hardware". Network Protocols and Algorithms 8, n.º 4 (15 de enero de 2017): 72. http://dx.doi.org/10.5296/npa.v8i4.10291.

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The recent explosion in the speed and connectivity of the Internet has opened up the possibility of millions and possibly billions of devices connected together. Combined with the development of small, low power devices, new paradigms in the field of computing have opened up. Traditional passive electronic devices now have rudimentary computing capabilities. The resulting Internet of Things (IoT), comprised of smart interconnected devices is improving our ability to gather ambient information and make informed decisions that directly benefit humanity. However, the ubiquity of these devices also presents an interesting scenario wherein the devices can perform limited general-purpose computations when they are not performing their primary functions. A computational task divided into a large number of smaller, micro tasks, each of which take only a few CPU cycles to complete. By distributing these tasks over a large number of devices, we can achieve a substantial amount of computation with seemingly modest devices. In this work, we explore a mechanism to enable such massively parallel computations in low powered commodity hardware devices through fine-grained task parallelism.
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Szabo, Geza, Istvan Godor, Andras Veres, Szabolcs Malomsoky y Sandor Molnar. "Traffic Classification over Gbit Speed with Commodity Hardware". Journal of Communications Software and Systems 5, n.º 3 (21 de septiembre de 2009): 93. http://dx.doi.org/10.24138/jcomss.v5i3.203.

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This paper discusses necessary components of a GPU-assisted traffic classification method, which is capable ofmulti-Gbps speeds on commodity hardware. The majority of the traffic classification is pushed to the GPU to offload the CPU, which then may serve other processing intensive tasks, e.g., traffic capture. The paper presents two massively parallelizable algorithms suitable for GPUs. The first one performs signature search using a modification of Zobrist hashing. The second algorithm supports connection pattern-based analysis and aggregation of matches using a parallel-prefix-sum algorithm adapted to GPU.The performance tests of the proposed methods showed that traffic classification is possible up to approximately 6 Gbps with a commodity PC.
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Ahrenberg, Lukas, Philip Benzie, Marcus Magnor y John Watson. "Computer generated holography using parallel commodity graphics hardware". Optics Express 14, n.º 17 (21 de agosto de 2006): 7636. http://dx.doi.org/10.1364/oe.14.007636.

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Setoain, Javier, Manuel Prieto, Christian Tenllado, Antonio Plaza y Francisco Tirado. "Parallel Morphological Endmember Extraction Using Commodity Graphics Hardware". IEEE Geoscience and Remote Sensing Letters 4, n.º 3 (julio de 2007): 441–45. http://dx.doi.org/10.1109/lgrs.2007.897398.

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Tesis sobre el tema "Commodity hardware"

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Holstius, David. "Monitoring Particulate Matter with Commodity Hardware". Thesis, University of California, Berkeley, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3640465.

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Health effects attributed to outdoor fine particulate matter (PM 2.5) rank it among the risk factors with the highest health burdens in the world, annually accounting for over 3.2 million premature deaths and over 76 million lost disability-adjusted life years. Existing PM2.5 monitoring infrastructure cannot, however, be used to resolve variations in ambient PM2.5 concentrations with adequate spatial and temporal density, or with adequate coverage of human time-activity patterns, such that the needs of modern exposure science and control can be met. Small, inexpensive, and portable devices, relying on newly available off-the-shelf sensors, may facilitate the creation of PM2.5 datasets with improved resolution and coverage, especially if many such devices can be deployed concurrently with low system cost.

Datasets generated with such technology could be used to overcome many important problems associated with exposure misclassification in air pollution epidemiology. Chapter 2 presents an epidemiological study of PM2.5 that used data from ambient monitoring stations in the Los Angeles basin to observe a decrease of 6.1 g (95% CI: 3.5, 8.7) in population mean birthweight following in utero exposure to the Southern California wildfires of 2003, but was otherwise limited by the sparsity of the empirical basis for exposure assessment. Chapter 3 demonstrates technical potential for remedying PM2.5 monitoring deficiencies, beginning with the generation of low-cost yet useful estimates of hourly and daily PM2.5 concentrations at a regulatory monitoring site. The context (an urban neighborhood proximate to a major goods-movement corridor) and the method (an off-the-shelf sensor costing approximately USD $10, combined with other low-cost, open-source, readily available hardware) were selected to have special significance among researchers and practitioners affiliated with contemporary communities of practice in public health and citizen science. As operationalized by correlation with 1h data from a Federal Equivalent Method (FEM) β-attenuation data, prototype instruments performed as well as commercially available equipment costing considerably more, and as well as another reference instrument under similar conditions at the same timescale (R2 = 0.6). Correlations were stronger when 24 h integrating times were used instead (R2 = 0.72).

Chapter 4 replicates and extends the results of Chapter 3, showing that similar calibrations may be reasonably exchangeable between near-roadway and background monitoring sites. Chapter 4 also employs triplicate sensors to obtain data consistent with near-field (< 50 m) observations of plumes from a major highway (I-880). At 1 minute timescales, maximum PM2.5 concentrations on the order of 100 μg m–3 to 200 μg m–3 were observed, commensurate with the magnitude of plumes from wildfires on longer timescales, as well as the magnitude of plumes that might be expected near other major highways on the same timescale. Finally, Chapter 4 quantifies variance among calibration parameters for a large sample of the sensors, as well as the error associated with the remote transfer of calibrations between two sufficiently large sets (± 10 % for n = 12). These findings suggest that datasets generated with similar sensors could also improve upstream scientific understandings of fluxes resulting from indoor and outdoor emissions, atmospheric transformations, and transport, and may also facilitate timely and empirical verification of interventions to reduce emissions and exposures, in many important contexts (e.g., the provision of improved cookstoves; congestion pricing; mitigation policies attached to infill development; etc.). They also demonstrate that calibrations against continuous reference monitoring equipment could be remotely transferred, within practical tolerances, to reasonably sized and adequately resourced participatory monitoring campaigns, with minimal risk of disruption to existing monitoring infrastructure (i.e., established monitoring sites). Given a collaborator with a short window of access to a reference monitoring site, this would overcome a nominally important barrier associated with non-gravimetric, in-situ calibration of continuous PM2.5 monitors. Progressive and disruptive prospects linked to a proliferation of comparable sensing technologies based on commodity hardware are discussed in Chapter 5.

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Beltrán, Querol Vicenç. "Improving web server efficiency on commodity hardware". Doctoral thesis, Universitat Politècnica de Catalunya, 2008. http://hdl.handle.net/10803/6024.

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El ràpid creixement de la Web requereix una gran quantitat de recursos computacionals que han de ser utilitzats eficientment. Avui en dia, els servidors basats en hardware estendard son les plataformes preferides per executar els servidors web, ja que són les plataformes amb millor relació rendiment/cost. El treball presentat en aquesta tesi esta dirigit a millorar la eficàcia en la gestió de recursos dels servidors web actuals. Per assolir els objectius d'aquesta tesis s'ha caracteritzat el funcionament dels servidors web en diverses entorns representatius, per tal de identificar el problemes i coll d'ampolla que limiten el rendiment del servidor web. Amb l'estudi dels servidors web s'ha identificat dos problemes principals que disminueixen l'eficiència dels servidors web en la utilització dels recursos hardware disponibles. El primer problema identificat és la evolució del protocol HTTP per incorporar connexions persistents i seguretat, que disminueix el rendiment e incrementa la complexitat de configuració dels servidors web. El segon problema és la naturalesa de algunes aplicacions web, les quals estan limitades per la memòria física o l'ample de banda amb el disc, que impedeix la correcta utilització dels recursos presents en les maquines multiprocessadors. Per solucionar aquests dos problemes dels servidors web hem proposat dues tècniques. En primer lloc, l'arquitectura hibrida, una evolució de l'arquitectura multi-threaded que es pot implementar fàcilment el els servidor web actuals i que millora notablement la gestió de les connexions i redueix la complexitat de configuració de tot el sistema. En segon lloc, hem implementat en el kernel del sistema operatiu Linux un comprensió de memòria principal per millorar el rendiment de les aplicacions que tenen la memòria com ha coll d'ampolla, millorant així la utilització dels recursos disponibles. Els resultats d'aquesta tesis estan avalats per una avaluació experimental exhaustiva que ha provat la efectivitat i viabilitat de les nostres propostes. Cal destacar que l'arquitectura de servidor web hybrida proposada en aquesta tesis ha estat implementada recentment per coneguts servidors web com és el cas de Apache, Tomcat i Glassfish.
The unstoppable growth of the World Wide Web requires a huge amount of computational resources that must be used efficiently. Nowadays, commodity hardware is the preferred platform to run web server systems because it is the most cost-effective solution. The work presented in this thesis aims to improve the efficiency of current web server systems, allowing the web servers to make the most of hardware resources. To this end, we first characterize current web server system and identify the problems that hinder web servers from providing an efficient utilization of resources. From the study of web servers in a wide range of situations and environments, we have identified two main issues that prevents web servers systems from efficiently using current hardware resources. The first is the extension of the HTTP protocol to include connection persistence and security, which dramatically impacts the performance and configuration complexity of traditional multi-threaded web servers. The second is the memory-bounded or disk-bounded nature of some web workloads that prevents the full utilization of the abundant CPU resources available on current commodity hardware. We propose two novel techniques to overcome the main problems with current web server systems. Firstly, we propose a Hybrid web server
architecture which can be easily implemented in any multi-threaded web server to improve CPU utilization so as to provide better management of client connections. And secondly, we describe a main memory compression technique implemented in the Linux operating system that makes optimum use of current multiprocessor's hardware, in order to improve the performance of memory bound web applications. The thesis is supported by an exhaustive experimental evaluation that proves the effectiveness and feasibility of our proposals for current systems. It is worth noting that the main concepts behind the Hybrid architecture have recently been implemented in popular web servers like Apache, Tomcat and Glassfish.
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Egi, Norbert. "Software virtual routers on commodity hardware architectures". Thesis, Lancaster University, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.539674.

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Botnen, Martin y Harald Ueland. "Using Commodity Graphics Hardware for Medical Image Segmentation". Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2005. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9191.

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Modern graphics processing units (GPUs) have evolved into high-performance processors with fully programmable vertex and fragment stages. As their functionality and performance are still increasing, more programmers are appealed by their computational power. This has led to an extensive usage of the GPU as a computational resource in general-purpose computing, and not just within applications of the entertainment business and computer games. Large volume data sets are involved when it comes to medical image segmentation. It is a time consuming task, but is important in the process of detection and identification of special structures and objects. In this thesis we investigate the possibility of using commodity graphics hardware for medical image segmentation. By using a high-level shading language, and utilizing state of the art technolgy like the framebuffer object (FBO) extension and a modern programmable GPU, we perform seeded region growing (SRG) on medical volume data. We also implement two pre-processing filters on the GPU; a median filter and a nonlinear anisotropic diffusion filter, along with a volume visualizer that renders volume data. In our work, we managed to port the Seeded Region Growing (SRG) algorithm from the CPU programming model onto the GPU programming model. The GPU implementation was successful, but we did not, however, get the desired reduction in time consume. In comparison with an equivalent CPU implementation, we found that the GPU version is outperformed. This is most likely due to the overhead associated with the setup of shaders and render-targets (FBO) while running the SRG. The algorithm has low computational costs, and if a more complex and sophisticated method is implemented on the GPU, the computational capacity and the parallelism of the of the GPU may be more utilized. Hence, a speed-up in computational time is then more likely to occur compared to a CPU implementation. Our work involving a 3D nonlinear anisotropic diffusion filter strongly suggests this.

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Zhang, Tong. "Designing Practical Software Bug Detectors Using Commodity Hardware and Common Programming Patterns". Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/96422.

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Software bugs can cost millions and affect people's daily lives. However, many bug detection tools are not always practical in reality, which hinders their wide adoption. There are three main concerns regarding existing bug detectors: 1) run-time overhead in dynamic bug detectors, 2) space overhead in dynamic bug detectors, and 3) scalability and precision issues in static bug detectors. With those in mind, we propose to: 1) leverage commodity hardware to reduce run-time overhead, 2) reuse metadata maintained by one bug detector to detect other types of bugs, reducing space overhead, and 3) apply programming idioms to static analyses, improving scalability and precision. We demonstrate the effectiveness of three approaches using data race bugs, memory safety bugs, and permission check bugs, respectively. First, we leverage the commodity hardware transactional memory (HTM) selectively to use the dynamic data race detector only if necessary, thereby reducing the overhead from 11.68x to 4.65x. We then present a production-ready data race detector, which only incurs a 2.6% run-time overhead, by using performance monitoring units (PMUs) for online memory access sampling and offline unsampled memory access reconstruction. Second, for memory safety bugs, which are more common than data races, we provide practical temporal memory safety on top of the spatial memory safety of the Intel MPX in a memory-efficient manner without additional hardware support. We achieve this by reusing the existing metadata and checks already available in the Intel MPX-instrumented applications, thereby offering full memory safety at only 36% memory overhead. Finally, we design a scalable and precise function pointer analysis tool leveraging indirect call usage patterns in the Linux kernel. We applied the tool to the detection of permission check bugs; the detector found 14 previously unknown bugs within a limited time budget.
Doctor of Philosophy
Software bugs have caused many real-world problems, e.g., the 2003 Northeast blackout and the Facebook stock price mismatch. Finding bugs is critical to solving those problems. Unfortunately, many existing bug detectors suffer from high run-time and space overheads as well as scalability and precision issues. In this dissertation, we address the limitations of bug detectors by leveraging commodity hardware and common programming patterns. Particularly, we focus on improving the run-time overhead of dynamic data race detectors, the space overhead of a memory safety bug detector, and the scalability and precision of the Linux kernel permission check bug detector. We first present a data race detector built upon commodity hardware transactional memory that can achieve 7x overhead reduction compared to the state-of-the-art solution (Google's TSAN). We then present a very lightweight sampling-based data race detector which re-purposes performance monitoring hardware features for lightweight sampling and uses a novel offline analysis for better race detection capability. Our result highlights very low overhead (2.6%) with 27.5% detection probability with a sampling period of 10,000. Next, we present a space-efficient temporal memory safety bug detector for a hardware spatial memory safety bug detector, without additional hardware support. According to experimental results, our full memory safety solution incurs only a 36% memory overhead with a 60% run-time overhead. Finally, we present a permission check bug detector for the Linux kernel. This bug detector leverages indirect call usage patterns in the Linux kernel for scalable and precise analysis. As a result, within a limited time budget (scalable), the detector discovered 14 previously unknown bugs (precise).
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Sengupta, Aritra. "Efficient Compiler and Runtime Support for Serializability and Strong Semantics on Commodity Hardware". The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu149269601946527.

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Somers, Robert Edward. "FlexRender: A distributed rendering architecture for ray tracing huge scenes on commodity hardware". DigitalCommons@CalPoly, 2012. https://digitalcommons.calpoly.edu/theses/812.

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As the quest for more realistic computer graphics marches steadily on, the demand for rich and detailed imagery is greater than ever. However, the current "sweet spot" in terms of price, power consumption, and performance is in commodity hardware. If we desire to render scenes with tens or hundreds of millions of polygons as cheaply as possible, we need a way of doing so that maximizes the use of the commodity hardware we already have at our disposal. Techniques such as normal mapping and level of detail have attempted to address the problem by reducing the amount of geometry in a scene. This is problematic for applications that desire or demand access to the scene's full geometric complexity at render time. More recently, out-of-core techniques have provided methods for rendering large scenes when the working set is larger than the available system memory. We propose a distributed rendering architecture based on message-passing that is designed to partition scene geometry across a cluster of commodity machines in a spatially coherent way, allowing the entire scene to remain in-core and enabling the construction of hierarchical spatial acceleration structures in parallel. The results of our implementation show roughly an order of magnitude speedup in rendering time compared to the traditional approach, while keeping memory overhead for message queuing around 1%.
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Alberts, Andreas Jacobus. "Building a scalable virtual community on commodity hardware and open source software / by Andreas Alberts". Thesis, North-West University, 2008. http://hdl.handle.net/10394/4162.

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The information era has brought upon us waves of change that brings affordable technology Within the reach of the average person. Computers connected to the Internet, part of our daily living, have led to the formation of online communities. In the spirit of communal efforts, a community cannot be controlled or managed into a specific form or direction. A community has a need to concentrate its efforts towards a common goal or vision, therefore sufficiently nonrestrictive infrastructure is needed to enable the community members to contribute towards their goal. We design and build infrastructure to support a virtual community, according to the needs of the community. Community members can easily locate and exchange files among each other, interact in private and public chat rooms by means of instant text messages, as well as make announcements and participate in group discussions in a Web based environment. Additional needs are identified and tended to by means of various value adding services. We also formulate a management strategy to lead the community towards self-sustenance
Thesis (M. Ing. (Computer and Electronical Engineering))--North-West University, Potchefstroom Campus, 2009.
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Popov, Stefan Verfasser] y Philipp [Akademischer Betreuer] [Slusallek. "Algorithms and data structures for interactive ray tracing on commodity hardware / Stefan Popov. Betreuer: Philipp Slusallek". Saarbrücken : Saarländische Universitäts- und Landesbibliothek, 2012. http://d-nb.info/1052550002/34.

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Popov, Stefan [Verfasser] y Philipp [Akademischer Betreuer] Slusallek. "Algorithms and data structures for interactive ray tracing on commodity hardware / Stefan Popov. Betreuer: Philipp Slusallek". Saarbrücken : Saarländische Universitäts- und Landesbibliothek, 2012. http://d-nb.info/1052550002/34.

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Libros sobre el tema "Commodity hardware"

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Linux Enterprise Cluster: Build a Highly Available Cluster with Commodity Hardware and Free Software. No Starch Press, 2005.

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Kopper, Karl. Linux Enterprise Cluster: Build a Highly Available Cluster with Commodity Hardware and Free Software. No Starch Press, Incorporated, 2005.

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Capítulos de libros sobre el tema "Commodity hardware"

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Yang, Ruigang. "Scientific Computing on Commodity Graphics Hardware". En Computational and Information Science, 1100–1105. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30497-5_169.

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Eldridge, Harry, Aarushi Goel, Matthew Green, Abhishek Jain y Maximilian Zinkus. "One-Time Programs from Commodity Hardware". En Theory of Cryptography, 121–50. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-22368-6_5.

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Zhou, Qihua. "Hardware-Level Design: Neural Engines and Tensor Accelerators". En Machine Learning on Commodity Tiny Devices, 67–82. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003340225-5.

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Tang, Bo, Man Lung Yiu, Yuhong Li y Leong Hou U. "Exploit Every Cycle: Vectorized Time Series Algorithms on Modern Commodity CPUs". En Data Management on New Hardware, 18–39. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56111-0_2.

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Yin, Dong, Ge Li y Ke-di Huang. "Scalable MapReduce Framework on FPGA Accelerated Commodity Hardware". En Internet of Things, Smart Spaces, and Next Generation Networking, 280–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32686-8_26.

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Dongre, Diplav, Gourav Sharma, M. P. Kurhekar, U. A. Deshpande, R. B. Keskar y M. A. Radke. "Scalable Cloud Deployment on Commodity Hardware Using OpenStack". En Advanced Computing, Networking and Informatics- Volume 2, 415–24. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07350-7_46.

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Grace, Michael, Zhi Wang, Deepa Srinivasan, Jinku Li, Xuxian Jiang, Zhenkai Liang y Siarhei Liakh. "Transparent Protection of Commodity OS Kernels Using Hardware Virtualization". En Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 162–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16161-2_10.

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Wappler, Ute y Christof Fetzer. "Software Encoded Processing: Building Dependable Systems with Commodity Hardware". En Lecture Notes in Computer Science, 356–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-75101-4_34.

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Stone, John E., Axel Kohlmeyer, Kirby L. Vandivort y Klaus Schulten. "Immersive Molecular Visualization and Interactive Modeling with Commodity Hardware". En Advances in Visual Computing, 382–93. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17274-8_38.

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García-Dorado, José Luis, Felipe Mata, Javier Ramos, Pedro M. Santiago del Río, Victor Moreno y Javier Aracil. "High-Performance Network Traffic Processing Systems Using Commodity Hardware". En Data Traffic Monitoring and Analysis, 3–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36784-7_1.

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Actas de conferencias sobre el tema "Commodity hardware"

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Giurgiu, Ioana, Dorothea Wiesmann y John Bird. ""Memory loss" in commodity hardware?" En SYSTOR'17: International Systems and Storage Conference. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3078468.3078486.

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Hay, Simon, Joseph Newman y Robert Harle. "Optical tracking using commodity hardware". En 2008 7th IEEE/ACM International Symposium on Mixed and Augmented Reality (ISMAR). IEEE, 2008. http://dx.doi.org/10.1109/ismar.2008.4637345.

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Yang, Ruigang. "Multimedia processing on commodity graphics hardware". En 2009 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2009. http://dx.doi.org/10.1109/icme.2009.5202870.

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Ailamaki, A., N. K. Govindaraju y D. Manocha. "Query Co-Processing on Commodity Hardware". En 22nd International Conference on Data Engineering (ICDE'06). IEEE, 2006. http://dx.doi.org/10.1109/icde.2006.122.

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Lupescu, Grigore, Laura Gheorghe y Nicolae Tapus. "Commodity hardware performance in AES processing". En 2014 IEEE 13th International Symposium on Parallel and Distributed Computing (ISPDC). IEEE, 2014. http://dx.doi.org/10.1109/ispdc.2014.14.

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Smith, Gregory, Anmol Chaturvedi, Arunesh Mishra y Suman Banerjee. "Wireless virtualization on commodity 802.11 hardware". En the the second ACM international workshop. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1287767.1287782.

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Nightingale, Edmund B., Daniel Peek, Peter M. Chen y Jason Flinn. "Parallelizing security checks on commodity hardware". En the 13th international conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1346281.1346321.

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Vanhoef, Mathy y Frank Piessens. "Advanced Wi-Fi attacks using commodity hardware". En the 30th Annual Computer Security Applications Conference. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2664243.2664260.

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9

Taylor, Wesley y Faisal Z. Qureshi. "Real-time Video Summarization on Commodity Hardware". En ICDSC '18: International Conference on Distributed Smart Cameras. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3243394.3243689.

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Aras, Emekcan, Nicolas Small, Gowri Sankar Ramachandran, Stéphane Delbruel, Wouter Joosen y Danny Hughes. "Selective Jamming of LoRaWAN using Commodity Hardware". En MobiQuitous 2017: Computing, Networking and Services. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3144457.3144478.

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Informes sobre el tema "Commodity hardware"

1

Goebel, J. Hardware Testing and System Evaluation: Procedures to Evaluate Commodity Hardware for Production Clusters. Office of Scientific and Technical Information (OSTI), febrero de 2004. http://dx.doi.org/10.2172/826764.

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2

Hedges, R., K. Fitzgerald, M. Gary y D. Stearman. Comparison of leading parallel NAS file systems on commodity hardware. Office of Scientific and Technical Information (OSTI), noviembre de 2010. http://dx.doi.org/10.2172/1016306.

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