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Relevant bibliographies by topics / Allocation block

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Academic literature on the topic 'Allocation block'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Allocation block"

1

MARION-POTY, VIRGINIE, and SERGE MIGUET. "DATA ALLOCATION STRATEGIES FOR PARALLEL IMAGE PROCESSING ALGORITHMS." International Journal of Pattern Recognition and Artificial Intelligence 09, no. 04 (1995): 615–34. http://dx.doi.org/10.1142/s0218001495000237.

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This paper discusses several data allocation strategies used for the parallel implementation of basic imaging operators. It shows that depending on the operator (sequential or parallel, with regular or irregular execution time), the image data must be partitioned in very different manners: The square sub-domains are best adapted for minimizing the communication volume, but rectangles can perform better when we take into account the time for constructing messages. Block allocations are well adapted for inherently parallel operators since they minimize interprocessor interactions, but in the cas

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Al-kahtani, Mohammed S., Lilatul Ferdouse, and Lutful Karim. "Energy Efficient Power Domain Non-Orthogonal Multiple Access Based Cellular Device-to-Device Communication for 5G Networks." Electronics 9, no. 2 (2020): 237. http://dx.doi.org/10.3390/electronics9020237.

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This paper examines the resource block and power allocation in the power domain non-orthogonal multiple access (PD-NOMA) based cellular device-to-device (D2D) systems. To improve the energy efficiency of the D2D systems and to manage the mutual interference level as well as the quality of service (QoS) requirement of cellular users, different power level is applied to the D2D users sharing the same resource blocks (RBs) to the legacy users. It is essential to design an efficient resource block and power allocation method for PD-NOMA based cellular D2D systems which guarantee the successive int

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Došlić, Tomislav. "Block allocation of a sequential resource." Ars Mathematica Contemporanea 17, no. 1 (2019): 79–88. http://dx.doi.org/10.26493/1855-3974.1508.f8c.

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Sedgwick, P. "Treatment allocation in trials: block randomisation." BMJ 348, mar28 1 (2014): g2409. http://dx.doi.org/10.1136/bmj.g2409.

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LAWAL, NAJEEM, BENNY THÖRNBERG, MATTIAS O'NILS, and HÅKAN NORELL. "RAM ALLOCATION ALGORITHM FOR VIDEO PROCESSING APPLICATIONS ON FPGA." Journal of Circuits, Systems and Computers 15, no. 05 (2006): 679–99. http://dx.doi.org/10.1142/s0218126606003295.

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This paper presents an algorithm for the allocation of on-chip FPGA Block RAMs for the implementation of Real-Time Video Processing Systems. The effectiveness of the algorithm is shown through the implementation of realistic image processing systems. The algorithm, which is based on a heuristic, seeks the most cost-effective way of allocating memory objects to the FPGA Block RAMs. The experimental results obtained, show that this algorithm generates results which are close to the theoretical optimum for most design cases.

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Nguyen, Quang Hong, Khanh Quoc Dinh, Viet Anh Nguyena, Chien Van Trinh, Younghyeon Park, and Byeungwoo Jeon. "Rate Allocation for Block-based Compressive Sensing." Journal of Broadcast Engineering 20, no. 3 (2015): 398–407. http://dx.doi.org/10.5909/jbe.2015.20.3.398.

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Bystrom, M., and R. A. Coury. "Rate allocation for serial concatenated block codes." IEEE Transactions on Wireless Communications 4, no. 3 (2005): 830–34. http://dx.doi.org/10.1109/twc.2005.847002.

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Salama, Ibrahim, Anastasia Ivanova, and Bahjat Qaqish. "Efficient generation of constrained block allocation sequences." Statistics in Medicine 27, no. 9 (2007): 1421–28. http://dx.doi.org/10.1002/sim.3014.

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Xu, Jin, Pei-Ning Guo, and Chung-Kuan Cheng. "Empirical Study of Block Placement by Cluster Refinement." VLSI Design 10, no. 1 (1999): 71–86. http://dx.doi.org/10.1155/1999/89835.

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In this paper we propose an efficient cluster refinement approach for macro-cell placement. The algorithm selects a cluster of blocks dynamically, and finds an optimal solution for all the blocks in the cluster simultaneously. This is different from previous zone refinement approach which optimizes the allocation of one single block in each operation. Experimental results on the MCNC benchmark circuits show that the approach achieves excellent area utilization while minimizing the wire length at the same time.

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Patel, Jigisha N., Suprav Patnaik, and Saraiya Mansi. "Block Classification and Transmission of Compressed Image with Bit Allocation and Unequal Error Protection." International Journal of Computer Theory and Engineering 8, no. 4 (2016): 350–54. http://dx.doi.org/10.7763/ijcte.2016.v8.1070.

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Dissertations / Theses on the topic "Allocation block"

1

Nwamadi, Obilor. "Dynamic physical rersource block allocation for fourth generation wireless communication systems." Thesis, University of Liverpool, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.539566.

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Kassim, Shakiru Kehinde. "Closed-loop space-time block coding and resource allocation in collaborative wireless networks." Thesis, Loughborough University, 2009. https://dspace.lboro.ac.uk/2134/34412.

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The focus of this thesis is to exploit closed-loop space–time block coding schemes designed for multiple antenna links composed of four transmit antennas within collaborative wireless networks. Such schemes have the potential to increase the end-to-end bit error rate performance of wireless networks as compared to established schemes which only include links composed of two transmit antennas. The two four transmit antenna closed-loop space–time block codes (STBCs) considered are the closed-loop quasi-orthogonal STBC (CL-QO-STBC) and the closed-loop extended-orthogonal STBC (CL-EO-STBC) schemes

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Heikkilä, V. (Valtteri). "A study on dynamic memory allocation mechanisms for small block sizes in real-time embedded systems." Master's thesis, University of Oulu, 2013. http://urn.fi/URN:NBN:fi:oulu-201302081026.

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Embedded real-time and battery-powered systems are increasing in numbers, and their software complexity is growing. This creates a demand for more efficient dynamic memory allocation in real-time embedded systems. Small improvements in dynamic memory allocation can greatly reduce system overall memory usage, fragmentation and energy consumption. Most of today’s general-purpose allocators are unsuitable for real-time embedded systems since they are not designed for real-time constraints. This thesis contains a study on the suitability of dynamic memory allocation mechanisms for small block all

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Dosti, E. (Endrit). "Ultra reliable communication via optimum power allocation for repetition and parallel coding in finite block-length." Master's thesis, University of Oulu, 2017. http://jultika.oulu.fi/Record/nbnfioulu-201706082640.

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Abstract. In this thesis we evaluate the performance of several retransmission mechanisms with ultra-reliability constraints. First, we show that achieving a very low packet outage probability by using an open loop setup is a difficult task. Thus, we resort to retransmission schemes as a solution for achieving the required low outage probabilities for ultra reliable communication. We analyze three retransmission protocols, namely Type-1 Automatic Repeat Request (ARQ), Chase Combining Hybrid ARQ (CC-HARQ) and Incremental Redundancy (IR) HARQ. For these protocols, we develop optimal power alloca

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Tekbiyik, Ersoy Neyre. "Efficient Resource Allocation In Energy Harvesting Wireless Networks." Phd thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12615323/index.pdf.

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This thesis presents various studies on energy efficient design of wireless networks. It starts with a survey on recent shortest path based energy efficient routing algorithms developed for ad hoc and sensor networks, making a comprehensive classification for these algorithms. In addition to energy efficient design, sustainable and environmentally friendly deployment of wireless networks demands increased use of renewable energy. However, this calls for novel design principles to efficiently utilize the variation in the availability of the energy. The thesis continues with an investigation of

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Emenonye, Don-Roberts Ugochukwu. "Application of Machine Learning to Multi Antenna Transmission and Machine Type Resource Allocation." Thesis, Virginia Tech, 2020. http://hdl.handle.net/10919/99956.

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Wireless communication systems is a well-researched area in electrical engineering that has continually evolved over the past decades. This constant evolution and development have led to well-formulated theoretical baselines in terms of reliability and efficiency. However, most communication baselines are derived by splitting the baseband communications into a series of modular blocks like modulation, coding, channel estimation, and orthogonal frequency modulation. Subsequently, these blocks are independently optimized. Although this has led to a very efficient and reliable process, a theoreti

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Huang, Fan. "Allocation des ressources fondée sur la qualité du canal pour la voie descendante des systèmes LTE." Thesis, Université Paris-Saclay (ComUE), 2015. http://www.theses.fr/2015SACLS250/document.

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La recherche effectuée dans cette thèse a pour cadre les réseaux radio privés dédiés aux forces de sécurité civile. En effet, doté actuellement d’un service bande étroite, ils doivent évoluer pour faire face à de nouveaux besoins comme la vidéo ou le multimédia. L’objectif est donc d’adapter la technologie LTE aux contraintes et propriétés de ces réseaux particulier. Ainsi, le nombre d’utilisateurs est limité mais le service doit toujours être disponible et des priorités peuvent être mises en œuvre.Dans ce contexte, l’allocation des ressources de communication est un problème important avec de

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Shajaiah, Haya Jamal. "Resource Allocation with Carrier Aggregation for Spectrum Sharing in Cellular Networks." Diss., Virginia Tech, 2016. http://hdl.handle.net/10919/70882.

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Recently, there has been a massive growth in the number of mobile users and their traffic. The data traffic volume almost doubles every year. Mobile users are currently running multiple applications that require higher bandwidth which makes users so limited to the service providers' resources. Increasing the utilization of the existing spectrum can significantly improve network capacity, data rates and user experience. Spectrum sharing enables wireless systems to harvest under-utilized swathes of spectrum, which would vastly increase the efficiency of spectrum usage. Making more spectrum avail

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Corneli, Marco. "Dynamic stochastic block models, clustering and segmentation in dynamic graphs." Thesis, Paris 1, 2017. http://www.theses.fr/2017PA01E012/document.

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Cette thèse porte sur l’analyse de graphes dynamiques, définis en temps discret ou continu. Nous introduisons une nouvelle extension dynamique du modèle a blocs stochastiques (SBM), appelée dSBM, qui utilise des processus de Poisson non homogènes pour modéliser les interactions parmi les paires de nœuds d’un graphe dynamique. Les fonctions d’intensité des processus ne dépendent que des classes des nœuds comme dans SBM. De plus, ces fonctions d’intensité ont des propriétés de régularité sur des intervalles temporels qui sont à estimer, et à l’intérieur desquels les processus de Poisson redevien

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Vural, Mehmet. "Achievable Coding Rates For Awgn And Block Fading Channels In The Finite Blocklength Regime." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612348/index.pdf.

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In practice, a communication system works with finite blocklength codes because of the delay constraints and the information-theoretic bounds which are proposed for finite blocklength systems can be exploited to determine the performance of a designed system. In this thesis, achievable rates for given average error probabilities are considered for finite blocklength systems. Although classical bounds can be used to upper bound the error probability, these bounds require the optimization of auxiliary variables. In this work, a bound which is called the dependence testing (DT) bound that is free

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Books on the topic "Allocation block"

1

2G bomb: RTIs shook North Block. Manas Publications, 2012.

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Gorton, Gary. Blockholder identity equity ownership structures, and hostile takeovers. National Bureau of Economic Research, 1999.

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Interoperability in the next administration: Assessing the derailed 700 MHz D block public safety spectrum auction : hearing before the Subcommittee on Emergency Communications, Preparedness, and Response of the Committee on Homeland Security, House of Representatives, One Hundred Tenth Congress, second session, September 16, 2008. U.S. G.P.O., 2009.

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United States. Congress. House. Committee on Homeland Security. Subcommittee on Emergency Communications, Preparedness and Response. Interoperability in the next administration: Assessing the derailed 700 MHz D block public safety spectrum auction : hearing before the Subcommittee on Emergency Communications, Preparedness, and Response of the Committee on Homeland Security, House of Representatives, One Hundred Tenth Congress, second session, September 16, 2008. U.S. G.P.O., 2009.

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Walbolt, Lisa. JRSA helps States determine local JAIBG allocations. U.S. Dept. of Justice, Office of Justice Programs, Office of Juvenile Justice and Delinquency Prevention, 2001.

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Auditor-General, India Comptroller and. Report of the Comptroller and Auditor General of India on allocation of coal blocks and augmentation of coal production: For the year ended March 2012. Comptroller and Auditor General of India, 2012.

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Associates, Paul Kagan, ed. Kagan's C block PCS report: Winner statistics and strategies. P. Kagan Associates, 1996.

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Burnam, M., Peter Reuter, John Adams, et al. Improving Block Grant Allocation Formulas: More Refined Measures Would Shift Substance Abuse Funds to Smaller, More Rural States. RAND Corporation, 1998. http://dx.doi.org/10.7249/rb6006.

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Milliken, Christopher, Ehsan Nikbakht, and Andrew Spieler. Traditional Asset Allocation Securities. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190269999.003.0020.

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Asset allocation models have evolved in complexity with the development of modern portfolio theory, but they continue to operate under the assumption of investor rationality and other assumptions that do not hold in the real world. For this reason, academics and industry professionals make efforts to understand the behavioral biases of decision makers and the implications these biases have on asset allocation strategies. This chapter reviews the building blocks of asset allocation, involving stocks, bonds, real estate, and cash. It also examines the history and theory behind two of the most po

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Community Development Block Grant Program: Directory of Allocations for Fiscal Years 1986-1993. U.S. Department of Housing and Urban Development, 1993.

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Book chapters on the topic "Allocation block"

1

Ghorbanzadeh, Michael, and Ahmed Abdelhadi. "Radio Resource Block Allocation." In Practical Channel-Aware Resource Allocation. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73632-3_4.

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Ghorbanzadeh, Mo, Ahmed Abdelhadi, and Charles Clancy. "Radio Resource Block Allocation." In Cellular Communications Systems in Congested Environments. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46267-7_6.

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Huang, Fan, Véronique Veque, and Joanna Tomasik. "Multi-cell Resource Block Allocation Framework." In Information Sciences and Systems 2014. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09465-6_3.

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Livingston, M., V. Lo, K. Windisch, and D. Zappala. "Cyclic Block Allocation: A New Scheme for Hierarchical Multicast Address Allocation." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-540-46703-8_14.

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Tetzlaff, William, and Robert Flynn. "The Block Allocation Problem in Video Servers." In Multimedia Communications and Video Coding. Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-0403-6_23.

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Farrelle, Paul Michael. "Bit Allocation and Quantization for Transform Coding." In Recursive Block Coding for Image Data Compression. Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4613-9676-5_3.

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Duan, Xiaomeng, Xu Li, and Ran Li. "A Measurement Allocation for Block Image Compressive Sensing." In Cloud Computing and Security. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00006-6_10.

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Shajaiah, Haya, Ahmed Abdelhadi, and Charles Clancy. "Utility Proportional Fairness Resource Block Scheduling with Carrier Aggregation." In Resource Allocation with Carrier Aggregation in Cellular Networks. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60540-1_7.

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Leroy, Damien, and Olivier Bonaventure. "A Secure Mechanism for Address Block Allocation and Distribution." In NETWORKING 2008 Ad Hoc and Sensor Networks, Wireless Networks, Next Generation Internet. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-79549-0_65.

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Wu, Sai, Zhihui Wang, Zhe Li, et al. "Uplink Resource Allocation Based on Short Block-Length Regime in Heterogeneous Cellular Networks for Smart Grid." In Innovative Mobile and Internet Services in Ubiquitous Computing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-50399-4_21.

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Conference papers on the topic "Allocation block"

1

Kim, Yongjune, and B. V. K. Vijaya Kumar. "Redundancy allocation of partitioned linear block codes." In 2013 IEEE International Symposium on Information Theory (ISIT). IEEE, 2013. http://dx.doi.org/10.1109/isit.2013.6620651.

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Bistritz, Ilai, and Amir Leshem. "Efficient and asymptotically optimal resource block allocation." In 2018 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2018. http://dx.doi.org/10.1109/wcnc.2018.8376960.

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Fan, Jiancun, Qinye Yin, Geoffrey Ye Li, Bingguang Peng, and Xiaolong Zhu. "Adaptive Block-Level Resource Allocation in OFDMA Networks." In 2011 20th International Conference on Computer Communications and Networks - ICCCN 2011. IEEE, 2011. http://dx.doi.org/10.1109/icccn.2011.6005742.

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KIM, HANSOO, KANCHI GOPINATH, and VINOD KATHAIL. "REGISTER ALLOCATION IN HYPER-BLOCK FOR EPIC PROCESSORS." In Proceedings of the International Conference ParCo99. PUBLISHED BY IMPERIAL COLLEGE PRESS AND DISTRIBUTED BY WORLD SCIENTIFIC PUBLISHING CO., 2000. http://dx.doi.org/10.1142/9781848160170_0065.

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Na Guan, Yiqing Zhou, Lin Tian, Gang Sun, and Jinglin Shi. "QoS guaranteed resource block allocation algorithm for LTE systems." In 2011 IEEE 7th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). IEEE, 2011. http://dx.doi.org/10.1109/wimob.2011.6085383.

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Hegde, Ganapati, Oscar Dario Ramos-Cantor, Yong Cheng, and Marius Pesavento. "Optimal resource block allocation and muting in heterogeneous networks." In 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2016. http://dx.doi.org/10.1109/icassp.2016.7472344.

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Erpek, Tugba, Ahmed Abdelhadi, and T. Charles Clancy. "Application-aware resource block and power allocation for LTE." In 2016 Annual IEEE Systems Conference (SysCon). IEEE, 2016. http://dx.doi.org/10.1109/syscon.2016.7490591.

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Carvalho, M. B., L. F. W. Goes, and C. A. P. S. Martins. "Dynamically reconfigurable cache architecture using adaptive block allocation policy." In Proceedings 20th IEEE International Parallel & Distributed Processing Symposium. IEEE, 2006. http://dx.doi.org/10.1109/ipdps.2006.1639487.

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Chuen-Yau Chen and Pei-Chia Yang. "Clock-tree routing with single buffer-block allocation strategy." In 48th Midwest Symposium on Circuits and Systems, 2005. IEEE, 2005. http://dx.doi.org/10.1109/mwscas.2005.1594385.

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Liqun Zhao, Yang Qin, Maode Ma, Xiaoxiong Zhong, and Li Li. "QoS guaranteed resource block allocation algorithm in LTE downlink." In 2012 7th International ICST Conference on Communications and Networking in China (CHINACOM 2012). IEEE, 2012. http://dx.doi.org/10.1109/chinacom.2012.6417520.

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Reports on the topic "Allocation block"

1

Bolen, Robert, and Aleida Perez. Determination and Refinement of the Crystal Structure of Proteins Block Allocation Group at Brookhaven National Laboratory. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1477951.

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