Complex Risk Statistics with Scenario Analysis by Fei Sun, Yichuan Dong

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Digital twin-centered hybrid data-driven multi-stage deep learning framework for enhanced nuclear reactor power prediction by James Daniell, Kazuma Kobayashi, Ayodeji Alajo, Syed Bahauddin Alam

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Exploring a high-level programming model for the NWP domain using ECMWF microphysics schemes by S. Ubbiali, C. Kühnlein, C. Schär, L. Schlemmer, T. C. Schulthess, T. C. Schulthess, M. Staneker, H. Wernli

“…We benchmark all prototype codes on three European supercomputers characterized by diverse graphics processing unit (GPU) and central processing unit (CPU) hardware, node designs, software stacks, and compiler suites. …”
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Local Binary and Multiclass SVMs Trained on a Quantum Annealer by Enrico Zardini, Amer Delilbasic, Enrico Blanzieri, Gabriele Cavallaro, Davide Pastorello

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An Assessment of the Efficiency of Dust Regional Modelling to Predict Saharan Dust Transport Episodes by D. K. Papanastasiou, A. Poupkou, E. Katragkou, V. Amiridis, D. Melas, N. Mihalopoulos, S. Basart, C. Pérez, J. M. Baldasano

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In Sharing We Trust. Taking Advantage of a Diverse Consortium to Build a Transparent Data Service in Catalonia by Clara Llebot, Mireia Alcalá, Lluís M. Anglada i de Ferrer

“…Even though CSUC also offers services to researchers directly (for example, its supercomputing resources), this report will focus on CSUC’s work with its member institutions to create and offer data management services. …”
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Fault Tolerant PLBGSA: Precedence Level Based Genetic Scheduling Algorithm for P2P Grid by Piyush Chauhan, Nitin

“…Due to monetary limitation, small organizations cannot afford high end supercomputers to solve highly complex tasks. P2P (peer to peer) grid computing is being used nowadays to break complex task into subtasks in order to solve them on different grid resources. …”
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A GDPR-compliant solution for analysis of large-scale genomics datasets on HPC cloud infrastructure by Silvia Gioiosa, Beatrice Chiavarini, Mattia D’Antonio, Giuseppe Trotta, Balasubramanian Chandramouli, Juan Mata Naranjo, Giuseppa Muscianisi, Mirko Cestari, Elisa Rossi

“…Abstract This paper outlines the technical and organizational measures implemented by the Italian supercomputing center, CINECA, to efficiently collect, process, and store sensitive-omics data in compliance with GDPR regulations. …”
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High Performance Computing of Complex Electromagnetic Algorithms Based on GPU/CPU Heterogeneous Platform and Its Applications to EM Scattering and Multilayered Medium Structure by Zhe Song, Xing Mu, Hou-Xing Zhou

“…Unlike the previous parallel algorithms or those implemented by means of parallel programming on multicore CPU with OpenMP or on a cluster of computers with MPI, the new type of large-scale parallel processor based on graphics processing unit (GPU) has shown impressive ability in various scenarios of supercomputing, while its application in computational electromagnetics is especially expected. …”
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Design Optimization of a Multistage Axial Flow Compressor Based on Full-Blade Surface Parameterization and Phased Strategy by Jinxin Cheng, Shengfeng Zhao, Zhaohui Dong, Chengwu Yang

“…The method mainly contains three aspects: full-blade surface parametrization can significantly reduce the number of control variables per blade row and increase the degrees of freedom of the leading edge blade angle compared with the traditional semiblade parametric method; secondly, the artificial bee colony algorithm improved initialization and food source exploration and exploitation mechanism to enhance the global optimization ability and convergence speed, and a distributed optimization system is built on the supercomputing platform based on this method; finally, a phased optimization strategy based on the “synchronous change in multirow blades” is proposed, and expert experience is introduced to achieve a better balance between exploration and exploitation. …”
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ANALYSIS OF POROSITE-NEUTRON (NPHI) LOGGING DATA FROM THE KINKASI FIELD: THE CASE OF THE G UP, F AND E HORIZONS OF THE CENOMANIAN RESERVOIR (D.R. CONGO COASTAL BASIN) by Munene Asidi Djonive, Kanika Mayena Thomas, Manteko Matondo Emmanuel, Nsitu Nsitu Djeskin, Biduaya Ngalamulume Jeff, Bangama Kabongo Augustin

“…Certainly, with the advancement of technology through the creation of supercomputers and software, these reprocessings can prove important in that they can bring to light certain information that previously went unnoticed. …”
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River Mapping using the Shallow-water Equations on GPU Clusters: Costa Rica as a Case Study by Johansell Villalobos, Daniel Caviedes-Voullième, Esteban Meneses

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Study on Preliminarily Estimating Performance of Elementary Deep Underground Engineering Structures in Future Large-Scale Heat Mining Projects by Min Tang, Hong Li, Chun’an Tang

“…In this paper, a concise and direct method for estimating the early performance of this disruptive and innovative geothermal development scheme is established as a viable alternative to supercomputing for the subsequent quantitative research of the corresponding relationship between a typical deep engineering structure and its heat extraction efficiency. …”
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From Boole to Leggett-Garg: Epistemology of Bell-Type Inequalities by Karl Hess, Hans De Raedt, Kristel Michielsen

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Deep reinforcement learning for active flow control in a turbulent separation bubble by Bernat Font, Francisco Alcántara-Ávila, Jean Rabault, Ricardo Vinuesa, Oriol Lehmkuhl

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Deep Anomaly Detection with Attention (DADA): A Novel Approach for Identifying Multipath Interference in Radar Signals by Kang Yan, Weidong Jin, Yingkun Huang, Zhenhua Li, Pucha Song, Ligang Huang

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AIPerf: Automated Machine Learning as an AI-HPC Benchmark by Zhixiang Ren, Yongheng Liu, Tianhui Shi, Lei Xie, Yue Zhou, Jidong Zhai, Youhui Zhang, Yunquan Zhang, Wenguang Chen

“…With a flexible workload and single metric, AIPerf can easily scale on and rank AI-HPC, providing a powerful benchmark suite for the coming supercomputing era.…”
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The spatial landscape of cancer hallmarks reveals patterns of tumor ecological dynamics and drug sensitivity by Mustafa Sibai, Sergi Cervilla, Daniela Grases, Eva Musulen, Rossana Lazcano, Chia-Kuei Mo, Veronica Davalos, Arola Fortian, Adrià Bernat, Margarita Romeo, Collin Tokheim, Jordi Barretina, Alexander J. Lazar, Li Ding, Enrique Grande, Francisco X. Real, Manel Esteller, Matthew H. Bailey, Eduard Porta-Pardo, Enrique Grande, Teresa Alonso-Gordoa, Mario Álvarez-Maestro, Elena Andrada, Ainara Azueta, Raquel Benítez Javier Burgos, Daniel Castellano, M. Angel Climent, Mario Domínguez, Ignacio Durán Albert Font, Isabel Galante, Patricia Galván, Juan F. García, Xavier García del Muro, Félix Guerrero-Ramos, Núria Malats, Miriam Marqués, Pablo Maroto, Jaime Martínez de Villarreal, Ane Moreno-Oya, Jesús M. Paramio, Alvaro Pinto, Aleix Prat, Javier Puente, Oscar Reig, Francisco X. Real

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Bayesian location of the QCD critical point: A holographic perspective by Ratti Claudia, Grefa Joaquin, Hippert Mauricio, Manning T. Andrew, Noronha Jorge, Noronha-Hostler Jacquelyn, Vazquez Israel Portillo, Rougemont Romulo, Trujillo Michael

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Survey on Complex Optimization and Simulation for the New Power Systems Paradigm by João Soares, Tiago Pinto, Fernando Lezama, Hugo Morais

“…Computational intelligence can provide a significant advantage over traditional tools to address these complex problems. In addition, supercomputers or parallelism opens a window to refine the application of these new techniques. …”
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