Log in

Relevant bibliographies by topics / High-power computing / Journal articles

To see the other types of publications on this topic, follow the link: High-power computing.

Journal articles on the topic 'High-power computing'

Author: Grafiati

Published: 4 June 2025

Last updated: 15 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'High-power computing.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

2

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

5

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

8

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

9

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

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.

Full text

APA, Harvard, Vancouver, ISO, and other styles

11

Cameron, K. W., Rong Ge, and Xizhou Feng. "High-performance, power-aware distributed computing for scientific applications." Computer 38, no. 11 (2005): 40–47. http://dx.doi.org/10.1109/mc.2005.380.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

Uehara, Minoru. "Metabolic Computing." International Journal of Distributed Systems and Technologies 3, no. 3 (2012): 27–39. http://dx.doi.org/10.4018/jdst.2012070103.

Full text

Abstract:

In this paper, the author proposes a metabolic computing model for a truly renewable system with high fault tolerance and sustainability and a realistic architecture for the model using four kinds of elements: metaboloids, slots, a power queue, and recycle unit. Metaboloids, which are processing units, are arranged in a mesh in the power queue. However, as the metabolism may change the network, to manage running tasks, metaboloids must achieve homeostasis, for which two new algorithms, bubbling and drifting, are presented. For simple metabolism, the specification of the architecture does not c

APA, Harvard, Vancouver, ISO, and other styles

13

Alawneh, Shadi G., Lei Zeng, and Seyed Ali Arefifar. "A Review of High-Performance Computing Methods for Power Flow Analysis." Mathematics 11, no. 11 (2023): 2461. http://dx.doi.org/10.3390/math11112461.

Full text

Abstract:

Power flow analysis is critical for power systems due to the development of multiple energy supplies. For safety, stability, and real-time response in grid operation, grid planning, and analysis of power systems, it requires designing high-performance computing methods, accelerating power flow calculation, obtaining the voltage magnitude and phase angle of buses inside the power system, and coping with the increasingly complex large-scale power system. This paper provides an overview of the available parallel methods to fix the issues. Specifically, these methods can be classified into three c

APA, Harvard, Vancouver, ISO, and other styles

14

Chen, Jing, and Tong Li. "Internet of Vehicles Resource Scheduling Based on Blockchain and Game Theory." Mathematical Problems in Engineering 2022 (July 30, 2022): 1–13. http://dx.doi.org/10.1155/2022/6891618.

Full text

Abstract:

With the popularity of on-board intelligent devices, the number of vehicle computing intensive applications is also increasing rapidly. Due to the high mobility and limited computing power of the vehicle, and the extensive and changing demand for computing resources of the vehicle terminal, the vehicle often has insufficient computing power. In order to meet the needs of intensive computing applications of vehicle terminals, the computing tasks of vehicles can be unloaded to edge cloud servers (ECSs) with rich resources and high performance to enhance the computing power of vehicle terminals.

APA, Harvard, Vancouver, ISO, and other styles

15

Klavík, Pavel, A. Cristiano I. Malossi, Costas Bekas, and Alessandro Curioni. "Changing computing paradigms towards power efficiency." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 372, no. 2018 (2014): 20130278. http://dx.doi.org/10.1098/rsta.2013.0278.

Full text

Abstract:

Power awareness is fast becoming immensely important in computing, ranging from the traditional high-performance computing applications to the new generation of data centric workloads. In this work, we describe our efforts towards a power-efficient computing paradigm that combines low- and high-precision arithmetic. We showcase our ideas for the widely used kernel of solving systems of linear equations that finds numerous applications in scientific and engineering disciplines as well as in large-scale data analytics, statistics and machine learning. Towards this goal, we developed tools for th

APA, Harvard, Vancouver, ISO, and other styles

16

ZHAO, WEISHENG, RAPHAEL MARTINS BRUM, LIONEL TORRES, et al. "SPINTRONIC MEMORY-BASED RECONFIGURABLE COMPUTING." SPIN 03, no. 04 (2013): 1340010. http://dx.doi.org/10.1142/s2010324713400109.

Full text

Abstract:

Reconfigurable computing provides a number of advantages such as low Research and Development (R&D) cost and design flexibility when compared to application specific logic circuits (ASLC). However its low power efficiency greatly limits its applications. One of the major reasons of this shortcoming is that Static Random Access Memory (SRAM)-based configuration memory occupies a large die area and consumes high static power. The later is more severe due to the rapidly increasing leakage currents, which are intrinsic and become worse following the fabrication node shrinking. Spintronic memor

APA, Harvard, Vancouver, ISO, and other styles

17

Wang, Ying, Bin Jiang, Chuping Yan, Mingjun Luan, and Shuai Qin. "Research on penetrating liquid cooling heat dissipation design and simulation of high heat flux density computing power servers." Journal of Physics: Conference Series 3011, no. 1 (2025): 012010. https://doi.org/10.1088/1742-6596/3011/1/012010.

Full text

Abstract:

Abstract With the continuous development of technologies such as artificial intelligence, big data, and cloud computing, the demand for high heat flux density computing power servers has witnessed explosive growth. The key technology affecting the stable and reliable operation of these computing power services is thermal design. Traditional air-cooling technology has great difficulty in dissipating heat for them. At present, the research focus of heat dissipation technology for high heat flux density computing power servers is liquid-cooling technology, mainly due to the advantages of liquid-c

APA, Harvard, Vancouver, ISO, and other styles

18

Lapegna, Marco, Walter Balzano, Norbert Meyer, and Diego Romano. "Clustering Algorithms on Low-Power and High-Performance Devices for Edge Computing Environments." Sensors 21, no. 16 (2021): 5395. http://dx.doi.org/10.3390/s21165395.

Full text

Abstract:

The synergy between Artificial Intelligence and the Edge Computing paradigm promises to transfer decision-making processes to the periphery of sensor networks without the involvement of central data servers. For this reason, we recently witnessed an impetuous development of devices that integrate sensors and computing resources in a single board to process data directly on the collection place. Due to the particular context where they are used, the main feature of these boards is the reduced energy consumption, even if they do not exhibit absolute computing powers comparable to modern high-end

APA, Harvard, Vancouver, ISO, and other styles

19

Pi Puig, Martín, Laura De Giusti, and Marcelo Naiouf. "Are GPUs Non-Green Computing Devices?" Journal of Computer Science and Technology 18, no. 02 (2018): e17. http://dx.doi.org/10.24215/16666038.18.e17.

Full text

Abstract:

With energy consumption emerging as one of the biggest issues in the development of HPC (High Performance Computing) applications, the importance of detailed power-related research works becomes a priority. In the last years, GPU coprocessors have been increasingly used to accelerate many of these high-priced systems even though they are embedding millions of transistors on their chips delivering an immediate increase on power consumption necessities. This paper analyzes a set of applications from the Rodinia benchmark suite in terms of CPU and GPU performance and energy consumption. Specifica

APA, Harvard, Vancouver, ISO, and other styles

20

Nepal, Kumud, Soheil Hashemi, Hokchhay Tann, R. Iris Bahar, and Sherief Reda. "Automated High-Level Generation of Low-Power Approximate Computing Circuits." IEEE Transactions on Emerging Topics in Computing 7, no. 1 (2019): 18–30. http://dx.doi.org/10.1109/tetc.2016.2598283.

Full text

APA, Harvard, Vancouver, ISO, and other styles

21

Narang, Mrinal, Jayant Marwaha, Gurpreet Kaur, Dr Manjot Kaur Bhatia, and Ritesh Sandilya. "Quantum Computing." International Journal for Research in Applied Science and Engineering Technology 10, no. 12 (2022): 1058–63. http://dx.doi.org/10.22214/ijraset.2022.47931.

Full text

Abstract:

Abstract: Quantum computing is a modern calculation method that is based on the science of quantum mechanics. These phenomena include the bizarre behavior of particles at the atomic and subatomic levels, and the way that these particles can be in multiple states simultaneously. The field of computer science is a great mix of physics, math, and information theory. This technology provides high computing power, low power consumption, and exponential speed by controlling the behavior of small physical objects, such as atoms. Atoms, electrons, photons, etc. are all elements of the physical world.

APA, Harvard, Vancouver, ISO, and other styles

22

Zhu, Lingwei. "Analysis of China's Green Computing Power Policy Texts based on LDA Model." Scientific Journal of Economics and Management Research 7, no. 6 (2025): 121–27. https://doi.org/10.54691/pvcq6x77.

Full text

Abstract:

In recent years, the contradiction between the exponential growth of global computing power demand and energy environmental constraints has become increasingly prominent. It is urgent to build a new efficient and low-carbon computing power system through technological innovation and model transformation. China's green computing power development path not only provides important support for the high-quality development of the digital economy but also contributes a Chinese solution to global ecological governance. This paper systematically analyzes China's green computing power-related policies,

APA, Harvard, Vancouver, ISO, and other styles

23

Rahem, Abd Al Razak Tareq, Mahamod Ismail, and Ihab Ahmed Najm. "Effect of the Architecture and Topology of Cloud Computing on Power Saving." Applied Mechanics and Materials 785 (August 2015): 661–70. http://dx.doi.org/10.4028/www.scientific.net/amm.785.661.

Full text

Abstract:

The use of cloud computing is increasing worldwide because users are now offered with IT utility services that consist of a pool of servers and switches that are fully interconnected. As such, cloud computing consumes huge amounts of power energy, leading to high operational costs and leaving carbon footprints in the environment. Thus, we are promoting the use of Green Cloud computing solutions. In this paper, we investigate how power management affects power saving in cloud computing by analyzing the architecture, topology, average load/server, and scheduling algorithms. We validated our resu

APA, Harvard, Vancouver, ISO, and other styles

24

Rodriguez, Diego, Diego Gomez, David Alvarez, and Sergio Rivera. "A Review of Parallel Heterogeneous Computing Algorithms in Power Systems." Algorithms 14, no. 10 (2021): 275. http://dx.doi.org/10.3390/a14100275.

Full text

Abstract:

The power system expansion and the integration of technologies, such as renewable generation, distributed generation, high voltage direct current, and energy storage, have made power system simulation challenging in multiple applications. The current computing platforms employed for planning, operation, studies, visualization, and the analysis of power systems are reaching their operational limit since the complexity and size of modern power systems results in long simulation times and high computational demand. Time reductions in simulation and analysis lead to the better and further optimize

APA, Harvard, Vancouver, ISO, and other styles

25

Mo, Fei. "Artificial intelligence becomes a new kinetic energy to promote supercomputing." Highlights in Science, Engineering and Technology 56 (July 14, 2023): 117–23. http://dx.doi.org/10.54097/hset.v56i.9823.

Full text

Abstract:

Big data not only provides an increasingly rich set of training data for artificial intelligence, but also puts higher demands on the computing power of computer systems. In recent years, China's supercomputers have been at the forefront of the world, providing strong computing platform support for the large-scale application of big data and artificial intelligence. At present, high-performance computing platforms represented by supercomputers mostly use heterogeneous parallel computing systems composed of CPU+accelerators, with a large number of computing cores that can provide powerful compu

APA, Harvard, Vancouver, ISO, and other styles

26

Srilakshmi, K., A. V. S. Karthikeya Chowdary, D. Lakshmi Soumya, Ch Hemasri, and G. Pavan Kumar. "Performance Analysis of High Speed Low Power BCD Adder using CMOS and Dynamic logic." Indian Journal Of Science And Technology 18, no. 21 (2025): 1703–15. https://doi.org/10.17485/ijst/v18i21.700.

Full text

Abstract:

Background: In the field of high-speed digital circuits, the efficiency of Binary Coded Decimal (BCD) adders consists of significant importance in optimizing the speed of arithmetic operations in computing systems. BCD arithmetic is crucial in scientific and financial computing systems that require decimal accuracy. Objectives: This study examines the performance of BCD adders as designed using two different logic families, Complementary Metal Oxide Semiconductor (CMOS) and dynamic logic. CMOS logic which is meant to have low static power dissipation and dynamic logic which is meant to have hi

APA, Harvard, Vancouver, ISO, and other styles

27

Tripathy, Minakshi, and C.R. Tripathy. "A Comparative Analysis of some High Performance Computing Technologies." COMPUSOFT: An International Journal of Advanced Computer Technology 03, no. 10 (2014): 1149–56. https://doi.org/10.5281/zenodo.14759349.

Full text

Abstract:

Computing is an evolutionary process. As part of this evolution, the computing requirements driven by applications have always outpaced the available technology. The system designers have been always seeking for faster and more efficient systems of computing. During the past decade, many different computer systems supporting high performance computing have emerged. Their taxonomy is based on how their processors, memory and interconnect are laid out. Today’s applications require high computational power as well as high communication performance. The high performance computing provides an

APA, Harvard, Vancouver, ISO, and other styles

28

Grabowska, Karolina, Jaroslaw Krzywanski, Marcin Sosnowski, and Dorian Skrobek. "Artificial Intelligence and Computational Issues in Engineering Applications." Entropy 25, no. 1 (2022): 5. http://dx.doi.org/10.3390/e25010005.

Full text

Abstract:

High-performance supercomputers and emerging computing clusters created in research and development centres are rapidly increasing available computing power, which scientists are eager to use to implement increasingly advanced computing methods [...]

APA, Harvard, Vancouver, ISO, and other styles

29

Wang, De Wen, and Xiao Meng Liu. "A Solution for Single Point of Failure of Cloud Computing Platform in Electric Power Corporation." Applied Mechanics and Materials 519-520 (February 2014): 1325–28. http://dx.doi.org/10.4028/www.scientific.net/amm.519-520.1325.

Full text

Abstract:

For the lack of computing, storage, information integration and other aspects in traditional electric power computing platform, it is necessary to introduce cloud computing to it and to build a cloud computing platform based on open source Hadoop to meet the requirements of smart grid. As the single point of failure of Hadoop cannot guarantee the high availability that electric power system requires, this paper gives a solution that based on hot standby mechanism and automatically failover controlled by Zookeeper, analyses availability and disaster recovery times to ensure the electric power s

APA, Harvard, Vancouver, ISO, and other styles

30

HURMAN, Ivan, Kira BOBROVNIKOVA, Leonid BEDRATYUK, and Hanna BEDRATYUK. "APPROACH FOR CODE ANALYSIS TO ESTIMATE POWER CONSUMPTION OF CUDA CORE." Herald of Khmelnytskyi National University. Technical sciences 217, no. 1 (2023): 67–73. http://dx.doi.org/10.31891/2307-5732-2023-317-1-67-73.

Full text

Abstract:

The graphics processing unit is a popular computing device for achieving exascale performance in high-performance computing programs, which is used not only in graphics tasks, but also in computational tasks such as machine learning, scientific computing, and cryptography. With the help of a graphics processor, you can achieve significant speed and performance compared to the central processing unit. CUDA, Compute Unified Device Architecture, a graphics processing unit software development platform, allows developers to use the high-performance computing capabilities of graphics processing uni

APA, Harvard, Vancouver, ISO, and other styles

31

Kelechi, Anabi Hilary, Mohammed H. Alsharif, Okpe Jonah Bameyi, et al. "Artificial Intelligence: An Energy Efficiency Tool for Enhanced High performance computing." Symmetry 12, no. 6 (2020): 1029. http://dx.doi.org/10.3390/sym12061029.

Full text

Abstract:

Power-consuming entities such as high performance computing (HPC) sites and large data centers are growing with the advance in information technology. In business, HPC is used to enhance the product delivery time, reduce the production cost, and decrease the time it takes to develop a new product. Today’s high level of computing power from supercomputers comes at the expense of consuming large amounts of electric power. It is necessary to consider reducing the energy required by the computing systems and the resources needed to operate these computing systems to minimize the energy utilized by

APA, Harvard, Vancouver, ISO, and other styles

32

Lee, Juyong, and Jihoon Lee. "Hierarchical Mobile Edge Computing Architecture Based on Context Awareness." Applied Sciences 8, no. 7 (2018): 1160. http://dx.doi.org/10.3390/app8071160.

Full text

Abstract:

Due to the recent developments in mobile network technology and the supply of mobile devices, services that require high computing power and fast access speed, such as machine learning and multimedia streaming, are attracting attention. Mobile Edge Computing (MEC) has emerged. MEC allows servers to be located close to users to efficiently handle these services and provides users with ultra-low latency content delivery and powerful computing services. However, there has been a lack of research into the architecture required to efficiently use the computing power and resources of MEC. So, this p

APA, Harvard, Vancouver, ISO, and other styles

33

Bushur, Jacob, and Chao Chen. "Exploiting Raspberry PI Clusters and Campus Lab Computers for Distributed Computing." International Journal of Computer Science and Information Technology 14, no. 03 (2022): 41–54. http://dx.doi.org/10.5121/ijcsit.2022.14304.

Full text

Abstract:

Distributed computing networks harness the power of existing computing resources and grant access to significant computing power while averting the costs of a supercomputer. This work aims to configure distributed computing networks using different computer devices and explore the benefits of the computing power of such networks. First, an HTCondor pool consisting of sixteen Raspberry Pi single-board computers and one laptop is created. The second distributed computing network is set up with Windows computers in university campus labs. With the HTCondor setup, researchers inside the university

APA, Harvard, Vancouver, ISO, and other styles

34

Li, Zitong. "A Transcoding Task Offloading and Routing Decision-Making Scheme in Live Transmission Architecture Based on Computing Power Network." Journal of Networking and Network Applications 3, no. 1 (2023): 19–31. http://dx.doi.org/10.33969/j-nana.2023.030103.

Full text

Abstract:

In recent years, there has been a significant increase in the demand for high-bit-rate live broadcast services, which has led to the widespread use of edge transcoding technology. Edge transcoding can effectively reduce the throughput of streaming media transmission, making it a popular and extensively researched technology. However, due to the real-time requirements of live broadcasting, the edge server needs to have the sufficient computing power to ensure low-latency calculations, which makes computing power allocation and traffic distribution become quite difficult. Inspired by the real-ti

APA, Harvard, Vancouver, ISO, and other styles

35

Liang, Aihua, Limin Xiao, and Li Ruan. "Adaptive workload driven dynamic power management for high performance computing clusters." Computers & Electrical Engineering 39, no. 7 (2013): 2357–68. http://dx.doi.org/10.1016/j.compeleceng.2013.04.026.

Full text

APA, Harvard, Vancouver, ISO, and other styles

36

Jin, Shuangshuang, Zhenyu Huang, Ruisheng Diao, Di Wu, and Yousu Chen. "Comparative Implementation of High Performance Computing for Power System Dynamic Simulations." IEEE Transactions on Smart Grid 8, no. 3 (2017): 1387–95. http://dx.doi.org/10.1109/tsg.2016.2647220.

Full text

APA, Harvard, Vancouver, ISO, and other styles

37

Song, Yankan, Ying Chen, Zhitong Yu, Shaowei Huang, and Chen Shen. "CloudPSS: A high-performance power system simulator based on cloud computing." Energy Reports 6 (December 2020): 1611–18. http://dx.doi.org/10.1016/j.egyr.2020.12.028.

Full text

APA, Harvard, Vancouver, ISO, and other styles

38

Sunita, Pratibha Gupta, Mayank sharma, Rahul carpenter. "A Review on High Performance Computing and Computational Science." Tuijin Jishu/Journal of Propulsion Technology 44, no. 1 (2023): 154–58. http://dx.doi.org/10.52783/tjjpt.v44.i1.2228.

Full text

Abstract:

(HPC) is an approach that combines computing power to solve complex High-performance computing problems in science, engineering and business, and provides far greater productivity than a typical desktop or workstation to solve the problem of computing encourage Hardware, software programs, algorithms, languages, architectures etc. Build solutions on a large scale . Computer Science and Engineering (CSE) is a discipline that develops and applies computer modeling and simulation to solve complex physical problems arising from engineering research, often in conjunction with high performance compu

APA, Harvard, Vancouver, ISO, and other styles

39

Durrani, Y. A. "HIGH-LEVEL POWER OPTIMIZATION FOR ARRAY MULTIPLIERS." Nucleus 50, no. 4 (2013): 351–58. https://doi.org/10.71330/thenucleus.2013.738.

Full text

Abstract:

Multiplication is the basic operation in most arithmetic features in computing systems. Generally multiplier occupies large area, long delay and high power dissipation. Therefore, low power multiplier design has been an important part in very large scale integrated (VLSI) design. Power consumption is directly related to data switching patterns and it is difficult to consider high-level application-specific data characteristics in power optimization. In this paper, we present a feasible method of pipelined array multiplier and evaluated the results by the flexible estimation methods at register

APA, Harvard, Vancouver, ISO, and other styles

40

Zhu, Honghui, Yegang Lu, and Linying Cai. "High-Performance On-Chip Racetrack Resonator Based on GSST-Slot for In-Memory Computing." Nanomaterials 13, no. 5 (2023): 837. http://dx.doi.org/10.3390/nano13050837.

Full text

Abstract:

The data shuttling between computing and memory dominates the power consumption and time delay in electronic computing systems due to the bottleneck of the von Neumann architecture. To increase computational efficiency and reduce power consumption, photonic in-memory computing architecture based on phase change material (PCM) is attracting increasing attention. However, the extinction ratio and insertion loss of the PCM-based photonic computing unit are imperative to be improved before its application in a large-scale optical computing network. Here, we propose a 1 × 2 racetrack resonator base

APA, Harvard, Vancouver, ISO, and other styles

41

Kang, Pilsung. "Programming for High-Performance Computing on Edge Accelerators." Mathematics 11, no. 4 (2023): 1055. http://dx.doi.org/10.3390/math11041055.

Full text

Abstract:

The field of edge computing has grown considerably over the past few years, with applications in artificial intelligence and big data processing, particularly due to its powerful accelerators offering a large amount of hardware parallelism. As the computing power of the latest edge systems increases, applications of edge computing are being expanded to areas that have traditionally required substantially high-performant computing resources such as scientific computing. In this paper, we review the latest literature and present the current status of research for implementing high-performance co

APA, Harvard, Vancouver, ISO, and other styles

42

Oh, Dan. "Package Technologies for the 4th Industrial Revolution." Additional Conferences (Device Packaging, HiTEC, HiTEN, and CICMT) 2019, DPC (2019): 001095–117. http://dx.doi.org/10.4071/2380-4491-2019-dpc-keynote4_danoh.

Full text

Abstract:

The 4th Industrial Revolution with artificial intelligence, autonomous vehicles, robotics, and biotechnology demands power efficient computing devices such as GPU, TPU, and FPGA. To further enhance the performance, advanced System-in-Package (SiP) such as 2.5D and 3D integration technologies are needed to satisfy the high computing and power efficiency requirements. High-performance SiP systems must integrate advanced packaging technologies with both complex signal/power integrity and enhanced thermal solutions. In addition, package developers need to work closely with chip designers at a very

APA, Harvard, Vancouver, ISO, and other styles

43

Sagar, J., B. Nethravathi, Sandhyarani, et al. "Autonomous Driving Powered by 5G Enabled Mobile Edge Computing, LoPECS and Edge AI." Research & Reviews: Journal of Internet & Networking 1, no. 1 (2025): 9–20. https://doi.org/10.5281/zenodo.14874336.

Full text

Abstract:

<em>Autonomous driving technology demands high-performance computing and low-latency communication for real-time and reliable decision-making. Edge computing is a promising solution to meet these requirements by enabling autonomous vehicles to offload computation and communication tasks to nearby edge servers. This paper discusses the potential of edge computing for autonomous driving, particularly in the context of 5G enabled Mobile Edge Computing, low power edge computing systems, and edge AI. However, designing an efficient ecosystem for edge computing in autonomous vehicles poses challenge

APA, Harvard, Vancouver, ISO, and other styles

44

Qiu, Shaoming, Jiancheng Zhao, Yana Lv, et al. "Digital-Twin-Assisted Edge-Computing Resource Allocation Based on the Whale Optimization Algorithm." Sensors 22, no. 23 (2022): 9546. http://dx.doi.org/10.3390/s22239546.

Full text

Abstract:

With the rapid increase of smart Internet of Things (IoT) devices, edge networks generate a large number of computing tasks, which require edge-computing resource devices to complete the calculations. However, unreasonable edge-computing resource allocation suffers from high-power consumption and resource waste. Therefore, when user tasks are offloaded to the edge-computing system, reasonable resource allocation is an important issue. Thus, this paper proposes a digital-twin-(DT)-assisted edge-computing resource-allocation model and establishes a joint-optimization function of power consumptio

APA, Harvard, Vancouver, ISO, and other styles

45

Li, Guang Lei, Shu Min Sun, and Yan Cheng. "Research on Data Center of Wind Power Based on Cloud Computing." Applied Mechanics and Materials 339 (July 2013): 529–32. http://dx.doi.org/10.4028/www.scientific.net/amm.339.529.

Full text

Abstract:

Building data center and data mining of wind power is essential to detect potential safety problems. The traditional data centers requires a lot of computing device and also have some disadvantages, such as limited scalability, high cost and low reliability. This paper presents the remote fault diagnosis system of wind power based on cloud computing and thoroughly analyzes construction demands and functional structure. Experimental results show that this system can effectively analyze mass monitored data, accurately assess equipment failure and reduce costs and the operating costs. This provid

APA, Harvard, Vancouver, ISO, and other styles

46

Milo, Valerio, Gerardo Malavena, Christian Monzio Compagnoni, and Daniele Ielmini. "Memristive and CMOS Devices for Neuromorphic Computing." Materials 13, no. 1 (2020): 166. http://dx.doi.org/10.3390/ma13010166.

Full text

Abstract:

Neuromorphic computing has emerged as one of the most promising paradigms to overcome the limitations of von Neumann architecture of conventional digital processors. The aim of neuromorphic computing is to faithfully reproduce the computing processes in the human brain, thus paralleling its outstanding energy efficiency and compactness. Toward this goal, however, some major challenges have to be faced. Since the brain processes information by high-density neural networks with ultra-low power consumption, novel device concepts combining high scalability, low-power operation, and advanced comput

APA, Harvard, Vancouver, ISO, and other styles

47

Lannelongue, Loïc. "Carbon footprint: the (not so) hidden cost of high performance computing." ITNOW 63, no. 4 (2021): 12–13. http://dx.doi.org/10.1093/itnow/bwab100.

Full text

Abstract:

Abstract Scientists, empowered by huge amounts of computing power, storage and memory are making world changing discoveries — including to help combat climate change. Loïc Lannelongue, a PhD student at the University of Cambridge, explores how high performance computing itself can lighten its carbon contribution.

APA, Harvard, Vancouver, ISO, and other styles

48

Yu, Senyu, Yan Guo, Ning Li, Duan Xue, and Hao Yuan. "Divergent Selection Task Offloading Strategy for Connected Vehicles Based on Incentive Mechanism." Electronics 12, no. 9 (2023): 2143. http://dx.doi.org/10.3390/electronics12092143.

Full text

Abstract:

With the improvements in the intelligent level of connected vehicles (CVs), travelers can enjoy services such as self-driving, self-parking and audiovisual entertainment inside the vehicle, which place extremely high demands on the computing power of onboard systems (OBSs). However, the arithmetic power of a single CV often cannot meet the diverse service demands of the in-vehicle system. As a new computing paradigm, task offloading based on vehicular edge computing has significant advantages in remedying the shortcomings of single-CV computing power and balancing the allocation of computing r

APA, Harvard, Vancouver, ISO, and other styles

49

S, Kaliswaran, Saranya R, Ajeet Kumar Srivastava, Saravanakumar C, and Deepali Suhas Jadhav. "FPGA EVOLUTION: HARNESSING RECENT TRENDS AND ALGORITHMS FOR HIGH-PERFORMANCE COMPUTING." ICTACT Journal on Microelectronics 10, no. 2 (2024): 1784–89. https://doi.org/10.21917/ijme.2024.0308.

Full text

Abstract:

In the post-Moore's law era, the quest for enhanced computational power has led to exploration beyond traditional electrical digital computing. Integrated Network Interface Cards (NICs) have emerged as a key player in high-performance computing, offering low latency and high bandwidth. To address throughput limitations in Systolic array hardware, a reconfigured software-defined System-on-Chip (SoC) utilizing Advanced Microcontroller Bus Architecture (AMBA) standards is proposed. This study introduces a block data trimming methodology that improves hybrid computing efficiency. The designed Syst

APA, Harvard, Vancouver, ISO, and other styles

50

Issa, Joseph. "Performance and power analysis for high performance computation benchmarks." Open Computer Science 3, no. 1 (2013): 1–16. http://dx.doi.org/10.2478/s13537-013-0101-5.

Full text

Abstract:

AbstractPerformance and power consumption analysis and characterization for computational benchmarks is important for processor designers and benchmark developers. In this paper, we characterize and analyze different High Performance Computing workloads. We analyze benchmarks characteristics and behavior on various processors and propose a performance estimation analytical model to predict performance for different processor microarchitecture parameters. Performance model is verified to predict performance within <5% error margin between estimated and measured data for different processors.

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!