A5090737638- Cloud Computing and Resource Management
- Distributed and Parallel Computing Systems
- Parallel Computing and Optimization Techniques
- Transportation Planning and Optimization
- Software System Performance and Reliability
- Railway Systems and Energy Efficiency
- Metallic Glasses and Amorphous Alloys
- Material Dynamics and Properties
- Online Learning and Analytics
- Advanced Measurement and Detection Methods
- Transportation and Mobility Innovations
- Magnetic Bearings and Levitation Dynamics
- Anomaly Detection Techniques and Applications
- Data Visualization and Analytics
- Nietzsche, Schopenhauer, and Hegel
- Advanced Data Storage Technologies
- Artificial Intelligence in Healthcare
- Railway Engineering and Dynamics
- Philosophy and Historical Thought
- Theoretical and Computational Physics
- Vibration and Dynamic Analysis
- Philosophical Thought and Analysis
- Glass properties and applications
China Aerodynamics Research and Development Center
2021-2024
National University of Defense Technology
2023-2024
Guizhou University
2021-2023
Southwest University of Science and Technology
2021-2022
The microstructure of metallic glasses (MGs) significantly impacts glass transition and mechanical properties, but the current research on this topic is still not comprehensive enough. Therefore, rapid solidification tensile processes Mg88Al6Zn6 MGs have been investigated in paper by molecular dynamics simulations their has analyzed Largest Standard Cluster Analysis (LaSCA). results show transformation other clusters to topological close-packed (TCP) defective TCP (D-TCP) during process....
Summary Supercomputers are advanced computing systems interconnected through high‐speed communication networks, consisting of independent computational nodes. During the unfolding big data era, potent capabilities these supercomputers play a pivotal role in scientific computing. Despite executing numerous science and engineering tasks on supercomputers, many submitted jobs fail due to various factors, resulting user inefficiencies. These failures not only consume system resources but also...
Abstract Large numbers of jobs are executed on supercomputers almost every day. Unfortunately, many would fail for various reasons, resulting in the waste resources and prolonged waiting time queuing jobs. Job failure prediction can guide adjustment measures advance, which is vital to system's overall execution efficiency reliability. Aiming at problem that existing job methods single, collection features complex challenging apply. This article strives study whether these failed be predicted...
The powerful computing capabilities of supercomputers play an important role in today's scientific computing. A large number high-performance jobs are submitted and executed concurrently the system. Job failure can cause a waste system resources impact efficiency user jobs. prediction support fault-tolerant technology to alleviate this phenomenon supercomputers. At present, related work mainly predicts job by collecting real-time performance attributes jobs, but it is difficult apply real...
High-performance computing system is a complex composed of large number nodes and storage nodes. The detailed execution job on cluster in black box. Details about resources such as CPU, network, I/O used by jobs cannot be perceived users or administrators. Users administrators discover problems time when has inefficient running modes, load imbalance bottlenecks, which seriously hinder the maximum performance cluster. Therefore, it very important to provide an effective method judge...
In diesen Tagen erscheint im Verlag «Resling» in Tel Aviv die erste hebräische Übersetzung von Hegels Phänomenologie des Geistes. Die Arbeit am ersten Band dauerte ungefähr zwölf Jahre. Roi Bar und ich übersetzten gemeinsam, einmal Woche, immer Sonntag Nachmittags, meinem Wohnzimmer Berlin. Ins Hebräische wurde Hegel also 15 Gehminuten seinem Lehrstuhl, 25 Grab Dorotheenstädtischen Friedhof entfernt, durch israelische Migranten übertragen.
The diversity and complexity of applications grow, with the development HPC systems. In-depth investigation study job characteristics are critical for system optimization, management application optimization. Our in paper strives to explore some important based on long-term historical data. We get many useful insights findings about runtime distribution, status I/O behaviors. Besides, we present a grouping method classify jobs into different groups. Evaluations prove that similar names have...