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High End Computing in China and the Exploration of “Sunway” Computers

Chen Zuoning

Strategic Study of CAE 2004, Volume 6, Issue 9, Pages 23-28

Abstract: HEC in China, introduces the major technical features and application achievements of Sunway series high-performance

Keywords： high-end computing grid computing high performance service high productivity computing total cost of

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Divergent Changes in Vegetation Greenness, Productivity, and Rainfall Use Efficiency Are Characteristicof Ecological Restoration Towards High-Quality Development in the Yellow River Basin, China

Yang Yu,Ting Hua,Liding Chen,Zhiqiang Zhang,Paulo Pereira,

Engineering doi: 10.1016/j.eng.2023.07.012

Abstract: that the middle reach of the YRB exhibited the most significant variation in vegetation greenness and productivitysignificance of examining the correlation between vegetation and rainfall within the context of the high-quality

Keywords： Vegetation greenness Vegetation productivity Rainfall use efficiency Sensitivity Yellow River Basin

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High End Computing Software Platform R & D

Chen Zuoning

Strategic Study of CAE 2002, Volume 4, Issue 9, Pages 45-49

Abstract:

High end computing software platform is the basic guarantee for implementing the friendship, availabilityand high efficiency of the entire machine.With the ever increase of computing scale and the emerging of new computing patterns, such as Peer-to-peerThis paper describes and analyses the development of high end computing software platform and the designingThen the design case of a certain high end computing platform software system will be introduced and

Keywords： high end computing MPP OS parallel development environment parallel application environment

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Self-deployed execution environment for high performance computing Research Articles

Mingtian SHAO, Kai LU, Wenzhe ZHANG

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 6, Pages 845-857 doi: 10.1631/FITEE.2100016

Abstract:

Traditional (HPC) systems provide a standard preset environment to support scientific computation. However, HPC development needs to provide support for more and more diverse applications, such as artificial intelligence and big data. The standard preset environment can no longer meet these diverse requirements. If users still run these emerging applications on HPC systems, they need to manually maintain the specific dependencies (libraries, environment variables, and so on) of their applications. This increases the development and deployment burden for users. Moreover, the multi-user mode brings about privacy problems among users. Containers like Docker and Singularity can encapsulate the job's , but in a highly customized HPC system, cross-environment application deployment of Docker and Singularity is limited. The introduction of container images also imposes a maintenance burden on system administrators. Facing the above-mentioned problems, in this paper we propose a self-deployed (SDEE) for HPC. SDEE combines the advantages of traditional virtualization and modern containers. SDEE provides an isolated and customizable environment (similar to a virtual machine) to the user. The user is the root user in this environment. The user develops and debugs the application and deploys its special dependencies in this environment. Then the user can load the job to compute nodes directly through the traditional HPC job management system. The job and its dependencies are analyzed, packaged, deployed, and executed automatically. This process enables transparent and rapid job deployment, which not only reduces the burden on users, but also protects user privacy. Experiments show that the overhead introduced by SDEE is negligible and lower than those of both Docker and Singularity.

Keywords： Execution environment High performance computing Light-weight Isolation Overlay

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Modelling and analysis of FMS productivity variables by ISM, SEM and GTMA approach

Vineet JAIN,Tilak RAJ

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 3, Pages 218-232 doi: 10.1007/s11465-014-0309-7

Abstract:

Productivity has often been cited as a key factor in a flexible manufacturing system (FMS) performanceThe purpose of this paper is to make a model and analysis of the productivity variables of FMS.ISM has been used to develop a model of productivity variables, and then it has been analyzed.involves the productivity of FMS.The FMS productivity index has purposed to intensify the factors which affect FMS.

Keywords： FMS ISM EFA SEM GTMA

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LINKING CROP WATER PRODUCTIVITY TO SOIL PHYSICAL, CHEMICAL AND MICROBIAL PROPERTIES

Frontiers of Agricultural Science and Engineering 2021, Volume 8, Issue 4, Pages 545-558 doi: 10.15302/J-FASE -2020349

Abstract: , the increasing competition for water resources has led to an urgent need in increasing crop water productivityAs the medium for crop growth, soils and their properties are important in affecting crop water productivityThis review examines the effects of soil physical, chemical, and microbial properties on crop water productivity

Keywords： crop water productivity crop yield soil chemical properties soil microbial properties soil physical

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Grassland management practices in Chinese steppes impact productivity, diversity and the relationship

Yingjun ZHANG, Wenjie LU, Hao ZHANG, Jiqiong ZHOU, Yue SHEN

Frontiers of Agricultural Science and Engineering 2018, Volume 5, Issue 1, Pages 57-63 doi: 10.15302/J-FASE-2017192

Abstract: Grasslands are crucial parts of the terrestrial ecosystem, with an extremely high differentiation ofproductivity and diversity across spatial scales and land use patterns.Productivity was significantly improved but diversity was lost by fertilizing.N fertilization also reduced the sensitivity of diversity to productivity.Mowing also slowed down the decline in diversity as productivity increased.

Keywords： diversity fertilizing grassland management practice grazing mowing productivity reseeding

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The Current Status and Trends of High Performance computing Technology

Han Jizhong,Han Chengde

Strategic Study of CAE 2000, Volume 2, Issue 1, Pages 85-86

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The rise of high-throughput computing None

Ning-hui SUN, Yun-gang BAO, Dong-rui FAN

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 10, Pages 1245-1250 doi: 10.1631/FITEE.1800501

Abstract:

In recent years, the advent of emerging computing applications, such as cloud computing, artificialintelligence, and the Internet of Things, has led to three common requirements in computer system design: highutilization, high throughput, and low latency.Herein, these are referred to as the requirements of ‘high-throughput computing (HTC)’.We argue that unlike the designs of traditional computing systems that pursue high performance and low

Keywords： High-throughput computing Sysentropy Information superbahn

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Strain and process engineering toward continuous industrial fermentation

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 10, Pages 1336-1353 doi: 10.1007/s11705-022-2284-6

Abstract: biotechnology industries are based on batch or fed-batch fermentation processes, which often show low productivityand high production costs compared to chemical processes.substrates and product inhibition, (2) prolonging the microbial exponential growth phase and enhancing productivity

Keywords： continuous fermentation productivity contamination strain degeneration metabolic engineering

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Storagewall for exascale supercomputing Article

Wei HU,Guang-ming LIU,Qiong LI,Yan-huang JIANG,Gui-lin CAI

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 11, Pages 1154-1175 doi: 10.1631/FITEE.1601336

Abstract: The mismatch between compute performance and I/O performance has long been a stumbling block as supercomputers evolve from petaflops to exaflops. Currently, many parallel applications are I/O intensive, and their overall running times are typically limited by I/O performance. To quantify the I/O performance bottleneck and highlight the significance of achieving scalable performance in peta/exascale supercomputing, in this paper, we introduce for the first time a formal definition of the ‘storage wall’ from the perspective of parallel application scalability. We quantify the effects of the storage bottleneck by providing a storage-bounded speedup, defining the storage wall quantitatively, presenting existence theorems for the storage wall, and classifying the system architectures depending on I/O performance variation. We analyze and extrapolate the existence of the storage wall by experiments on Tianhe-1A and case studies on Jaguar. These results provide insights on how to alleviate the storage wall bottleneck in system design and achieve hardware/software optimizations in peta/exascale supercomputing.

Keywords： Storage-bounded speedup Storage wall High performance computing Exascale computing

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Edge Computing Technology: Development and Countermeasures

Hong Xuehai and Wang Yang

Strategic Study of CAE 2018, Volume 20, Issue 2, Pages 20-26 doi: 10.15302/J-SSCAE-2018.02.004

Abstract:

Edge computing is an emerging technology that reduces transmission delaysand bandwidth consumption by placing computing, storage, bandwidth, applications, and other resourcesMobile terminals, Internet of things, and other devices provide the necessary front-end support for computingThis paper discusses the concept of edge computing, key problems that require solutions, main advancesin edge computing, influence of edge computing developments, and opportunities and development countermeasures

Keywords： cloud computing edge computing fog computing mobile edge computing internet of things front-end

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LINKING CROP WATER PRODUCTIVITY TO SOIL PHYSICAL, CHEMICAL AND MICROBIAL PROPERTIES

Di WU, Allan A. ANDALES, Hui YANG, Qing SUN, Shichao CHEN, Xiuwei GUO, Donghao LI, Taisheng DU

Frontiers of Agricultural Science and Engineering 2021, Volume 8, Issue 4, Pages 545-558 doi: 10.15302/J-FASE-2020349

Keywords： crop water productivity crop yield soil chemical properties soil microbial properties

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Bridging the gap: Neuro-Symbolic Computing for advanced AI applications in construction

Frontiers of Engineering Management Pages 727-735 doi: 10.1007/s42524-023-0266-0

Abstract: The integration of Neuro-Symbolic Computing (NSC), an emerging field that combines DL and symbolic reasoning

Keywords： advanced AI in construction safety and quality inspection Neuro-Symbolic Computing Deep Learning

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Systems thinking in construction: Improving the productivity and performance of infrastructure projects

Peter E.D. LOVE, Hanbin LUO

Frontiers of Engineering Management 2018, Volume 5, Issue 3, Pages 285-288 doi: 10.15302/J-FEM-2018205

Abstract:

Keywords： valign= top class= J_zhaiyao

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Title Author Date Type Operation

High End Computing in China and the Exploration of “Sunway” Computers

Chen Zuoning

Journal Article

Divergent Changes in Vegetation Greenness, Productivity, and Rainfall Use Efficiency Are Characteristicof Ecological Restoration Towards High-Quality Development in the Yellow River Basin, China

Yang Yu,Ting Hua,Liding Chen,Zhiqiang Zhang,Paulo Pereira,

Journal Article

High End Computing Software Platform R & D

Chen Zuoning

Journal Article

Self-deployed execution environment for high performance computing

Mingtian SHAO, Kai LU, Wenzhe ZHANG

Journal Article

Modelling and analysis of FMS productivity variables by ISM, SEM and GTMA approach

Vineet JAIN,Tilak RAJ

Journal Article

LINKING CROP WATER PRODUCTIVITY TO SOIL PHYSICAL, CHEMICAL AND MICROBIAL PROPERTIES