Relevant bibliographies by topics / High-power computing

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'High-power computing'

Author: Grafiati
Published: 4 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "High-power computing"

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Lin, How. "Extreme Power Considerations for High Performance Computing." International Symposium on Microelectronics 2014, no. 1 (2014): 000769–75. http://dx.doi.org/10.4071/isom-wp56.

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Power demand in the high end computing and data server segments are driving higher power delivery requirements at all packaging levels in a typical system. At the compute device level, compute node cards are now requiring core power supplies with current levels well above 100 amps at 1 volt or less. This imposes severe power delivery challenges in both power supply power conversion efficiency improvement and power delivery path loss minimization. Due to substantial aggregate I2R losses introduced by the current carrying structures in the power delivery paths, depending on the current level use
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Wenheng Liu and V. K. Prasanna. "Utilizing the power of high-performance computing." IEEE Signal Processing Magazine 15, no. 5 (1998): 85–100. http://dx.doi.org/10.1109/79.708542.

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Forge, Simon. "High-power computing and the value chain." Futures 26, no. 4 (1994): 430–52. http://dx.doi.org/10.1016/0016-3287(94)90008-6.

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Matthew, N. O. Sadiku, A. Omotoso Adedamola, and M. Musa Sarhan. "Power Aware Computing." International Journal of Trend in Scientific Research and Development 4, no. 1 (2019): 24–25. https://doi.org/10.5281/zenodo.3604651.

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With the proliferation of portable computing devices, power consumption has become a major concern. Power consumption has posed a serious challenge to the high performance computing systems. Power aware computing is to minimize energy requirements for computation. The main objective of power aware computing is to conserve energy for routing messages from source to destination. This paper provides a brief introduction to power aware computing. Matthew N. O. Sadiku | Adedamola A. Omotoso | Sarhan M. Musa "Power Aware Computing" Published in International Journal of Trend in Scientific
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Rama Sangireddy, H. Kim, and A. K. Somani. "Low-power high-performance reconfigurable computing cache architectures." IEEE Transactions on Computers 53, no. 10 (2004): 1274–90. http://dx.doi.org/10.1109/tc.2004.80.

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Ge, Rong, Xizhou Feng, Pengfei Zou, and Tyler Allen. "The Paradigm of Power Bounded High-Performance Computing." Journal of Computer Science and Technology 38, no. 1 (2023): 87–102. http://dx.doi.org/10.1007/s11390-023-2885-7.

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O’Connor, Owen, Tarek Elfouly, and Ali Alouani. "Survey of Novel Architectures for Energy Efficient High-Performance Mobile Computing Platforms." Energies 16, no. 16 (2023): 6043. http://dx.doi.org/10.3390/en16166043.

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There are many real-world applications that require high-performance mobile computing systems for onboard, real-time processing of gathered data due to latency, reliability, security, or other application constraints. Unfortunately, most existing high-performance mobile computing systems require a prohibitively high power consumption in the face of the limited power available from the batteries typically used in these applications. For high-performance mobile computing to be practical, alternative hardware designs are needed to increase the computing performance while minimizing the required p
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Anil Kumar Chunduru. "GPU Parallel Computing Architectures : Unlocking the Power of Parallelism for High-Performance Applications." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 10, no. 6 (2024): 390–96. http://dx.doi.org/10.32628/cseit24106175.

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Graphics Processing Units (GPUs) have evolved from specialized graphics rendering hardware to become powerful parallel computing architectures, revolutionizing high-performance computing across diverse domains. This comprehensive article explores the fundamental principles of GPU parallel computing architectures, their design, and their impact on modern computational challenges. We begin by examining the multi-core structure, memory hierarchy, and data processing capabilities of GPUs, including the SIMD execution model and thread organization. The article then delves into prominent programming
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Borghesi, Andrea, Andrea Bartolini, Michele Lombardi, Michela Milano, and Luca Benini. "Scheduling-based power capping in high performance computing systems." Sustainable Computing: Informatics and Systems 19 (September 2018): 1–13. http://dx.doi.org/10.1016/j.suscom.2018.05.007.

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Natarajan, Venkat, Anand Deshpande, Sudarshan Solanki, and Arun Chandrasekhar. "Thermal and Power Challenges in High Performance Computing Systems." Japanese Journal of Applied Physics 48, no. 5 (2009): 05EA01. http://dx.doi.org/10.1143/jjap.48.05ea01.

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

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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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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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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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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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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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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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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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Books on the topic "High-power computing"

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Khaitan, Siddhartha Kumar, and Anshul Gupta, eds. High Performance Computing in Power and Energy Systems. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32683-7.

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Khaitan, Siddhartha Kumar. High Performance Computing in Power and Energy Systems. Springer Berlin Heidelberg, 2013.

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Corporation, International Business Machines, ed. HPC clusters using Infiniband on IBM Power systems servers. Vervante, 2009.

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Ho, Ron, and Robert Drost, eds. Coupled Data Communication Techniques for High-Performance and Low-Power Computing. Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-6588-2.

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Labarta, Jesus. High-Performance Computing: 6th International Symposium, ISHPC 2005, Nara, Japan, September 7-9, 2005 and First International Workshop on Advanced Low Power Systems, ALPS 2006, Revised Selected Papers. Springer, 2008.

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Jesús, Labarta, Joe Kazuki, Sato Toshinori, and International Workshop on Advanced Low Power Systems (1st : 2006 : Cairns, Qld.), eds. High-performance computing: 6th international symposium, ISHPC 2005, Nara, Japan, September 7-9, 2005 and First International Workshop on Advanced Low Power Systems, ALPS 2006 : revised selected papers. Springer, 2008.

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Gupta, Anshul, and Siddhartha Kumar Khaitan. High Performance Computing in Power and Energy Systems. Springer, 2012.

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Gupta, Anshul, and Siddhartha Kumar Khaitan. High Performance Computing in Power and Energy Systems. Springer, 2014.

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High Performance Computing In Power And Energy Systems. Springer, 2012.

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Ho, Ron, and Robert Drost. Coupled Data Communication Techniques for High-Performance and Low-Power Computing. Springer, 2012.

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Book chapters on the topic "High-power computing"

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Ge, Rong, and Kirk W. Cameron. "Power-Aware High Performance Computing." In Energy-Efficient Distributed Computing Systems. John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118342015.ch2.

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Khaitan, Siddhartha Kumar, and James D. McCalley. "High Performance Computing for Power System Dynamic Simulation." In Power Systems. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32683-7_2.

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Haj-Yahya, Jawad, Avi Mendelson, Yosi Ben Asher, and Anupam Chattopadhyay. "Power Modeling at High-Performance Computing Processors." In Energy Efficient High Performance Processors. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8554-3_3.

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Borghesi, Andrea, Francesca Collina, Michele Lombardi, Michela Milano, and Luca Benini. "Power Capping in High Performance Computing Systems." In Lecture Notes in Computer Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23219-5_37.

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Falcão, Djalma M. "High performance computing in power system applications." In Vector and Parallel Processing — VECPAR'96. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-62828-2_109.

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Muthukumar, P., Padma Suresh Lekshmi Kanthan, T. Baldwin Immanuel, and K. Eswaramoorthy. "FPGA Performance Optimization Plan for High Power Conversion." In Soft Computing Systems. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1936-5_52.

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Yamaguchi, Kazuya, Takuya Hirata, and Ichijo Hodaka. "High Power Wireless Power Transfer Driven by Square Wave Inputs." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23207-2_34.

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Gong, Fen, Xiangyang Xia, Shiwu Luo, and Feng Zhou. "High-Capacity Hybrid Active Power Filter for the Power Substation." In Advances in Intelligent and Soft Computing. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25185-6_13.

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Hildenbrand, Dietmar. "The Power of High-Dimensional Geometric Algebras." In The Power of Geometric Algebra Computing. Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9781003139003-9.

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Adhikari, Manoj Singh, Vikalp Joshi, and Raju Patel. "InGaAs MOSFET for High Power Applications." In International Conference on Intelligent Computing and Smart Communication 2019. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0633-8_136.

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Conference papers on the topic "High-power computing"

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Lee, Hoi, Chen Chen, Weijie Han, Athul M. Sudha, Navaneeth Sri Easwaran, and Jin Liu. "High-Efficiency High-Conversion-Ratio Power Delivery Circuits for Computing Applications." In 2024 IEEE BiCMOS and Compound Semiconductor Integrated Circuits and Technology Symposium (BCICTS). IEEE, 2024. http://dx.doi.org/10.1109/bcicts59662.2024.10745680.

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Fedorov, Mike, Abdul Awwal, Adrian Barnes, et al. "NIF computing systems for ignition, high neutron yields, and future high-energy-density (HED) science." In High Power Lasers for Fusion Research VIII, edited by Constantin L. Häfner and Abdul A. Awwal. SPIE, 2025. https://doi.org/10.1117/12.3048342.

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Ishihara, Tohru, Jangwoo Kim, Kazutoshi Kobayashi, and Jose Martinez. "Panel Discussions: “Sustainable AI: Emerging Architectures, Devices, and Quantum Computing Towards Future Computing”." In 2025 IEEE Symposium on Low-Power and High-Speed Chips and Systems (COOL CHIPS). IEEE, 2025. https://doi.org/10.1109/coolchips65488.2025.11018567.

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Marthi, Phani R. V., Suman Debnath, Steven Hahn, Harry Hughes, Rahul Mishra, and Jongchan Choi. "High-Performance Computing Based EMT Simulation: Power Grid with IBRs." In 2025 IEEE Conference on Technologies for Sustainability (SusTech). IEEE, 2025. https://doi.org/10.1109/sustech63138.2025.11025731.

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Kulshreshtha, Naman, Tapasya Patki, Jim Garlick, Mark Grondona, and Rong Ge. "Vendor-neutral and Production-grade Job Power Management in High Performance Computing." In SC24-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis. IEEE, 2024. https://doi.org/10.1109/scw63240.2024.00231.

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Hughes, Richard J. "Quantum computing with trapped ions." In Optoelectronics and High-Power Lasers & Applications, edited by Bryan L. Fearey. SPIE, 1998. http://dx.doi.org/10.1117/12.308370.

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Myatt, Christopher J., B. E. King, D. Kielpinski, et al. "Trapped ions, entanglement, and quantum computing." In Optoelectronics and High-Power Lasers & Applications, edited by Bryan L. Fearey. SPIE, 1998. http://dx.doi.org/10.1117/12.308371.

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Kamil, Shoaib, John Shalf, and Erich Strohmaier. "Power efficiency in high performance computing." In Distributed Processing Symposium (IPDPS). IEEE, 2008. http://dx.doi.org/10.1109/ipdps.2008.4536223.

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"High-performance, power-aware computing - HPPAC." In 2009 IEEE International Symposium on Parallel & Distributed Processing. IEEE, 2009. http://dx.doi.org/10.1109/ipdps.2009.5160981.

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"High-performance, power-aware computing - HPPAC." In Distributed Processing, Workshops and Phd Forum (IPDPSW). IEEE, 2010. http://dx.doi.org/10.1109/ipdpsw.2010.5470915.

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Reports on the topic "High-power computing"

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Laros, James H.,, Suzanne M. Kelly, Kevin Pedretti, et al. High Performance Computing - Power Application Programming Interface Specification. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1494356.

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Laros, James H., Suzanne M. Kelly, Steven Hammond, Ryan Elmore, and Kristin Munch. Power/energy use cases for high performance computing. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1121915.

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Laros, James H.,, Suzanne M. Kelly, Kevin Pedretti, et al. High Performance Computing - Power Application Programming Interface Specification. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1561489.

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Laros, James H.,, Suzanne M. Kelly, Kevin Pedretti, et al. High Performance Computing - Power Application Programming Interface Specification. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1151809.

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Kelly, Suzanne, Kevin Pedretti, Ryan Grant, Stephen Olivier, Michael Levenhagen, and David DeBonis. High Performance Computing - Power Application Programming Interface Specification. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1762048.

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Laros III, James H., David DeBonis, Ryan Grant, et al. High Performance Computing - Power Application Programming Interface Specification Version 1.4. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1331358.

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Laros, James H., Ryan Grant, Michael J. Levenhagen, et al. High Performance Computing - Power Application Programming Interface Specification Version 2.0. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1347187.

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Pasupuleti, Murali Krishna. Neuromorphic Nanotech: 2D Materials for Energy-Efficient Edge Computing. National Education Services, 2025. https://doi.org/10.62311/nesx/rr325.

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Abstract The demand for energy-efficient, real-time computing is driving the evolution of neuromorphic computing and edge AI systems. Traditional silicon-based processors struggle with power inefficiencies, memory bottlenecks, and scalability limitations, making them unsuitable for next-generation low-power AI applications. This research report explores how 2D materials, such as graphene, transition metal dichalcogenides (TMDs), black phosphorus, and MXenes, are enabling the development of neuromorphic architectures that mimic biological neural networks for high-speed, ultra-low-power computat
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Elmore, Ryan, Kenny Gruchalla, Caleb Phillips, Avi Purkayastha, and Nick Wunder. Analysis of Application Power and Schedule Composition in a High Performance Computing Environment. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1235236.

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McGarrigle, Malachy. Watchpoints for Consideration When Utilising a VDI Network to Teach Archicad BIM Software Within an Educational Programme. Unitec ePress, 2023. http://dx.doi.org/10.34074/ocds.099.

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This research identifies factors to be considered in the adoption of a virtual desktop infrastructure (VDI) accommodating the software needs of a tertiary institution. The study discusses the potential advantages and disadvantages of VDI, focusing specifically on the performance of the architectural software Archicad when used virtually. The findings will be relevant to similar programmes, such as Revit, and software used in other disciplines, especially where processing power is important. Aims discussed include reducing high-specification computers rarely used to capacity, assessing user exp
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