Data locality in high performance computing, big data, and converged systems: An analysis of the cutting edge and a future system architecture
Big data has revolutionized science and technology leading to the transformation of our
societies. High-performance computing (HPC) provides the necessary computational power …
societies. High-performance computing (HPC) provides the necessary computational power …
[HTML][HTML] Digital twin challenges in biodiversity modelling
Digital Twin is a contemporary digital representation paradigm that is capable of
encompassing the complex interactions within the natural environment. By building …
encompassing the complex interactions within the natural environment. By building …
Workflows community summit 2022: A roadmap revolution
RF da Silva, RM Badia, V Bala, D Bard… - arXiv preprint arXiv …, 2023 - arxiv.org
Scientific workflows have become integral tools in broad scientific computing use cases.
Science discovery is increasingly dependent on workflows to orchestrate large and complex …
Science discovery is increasingly dependent on workflows to orchestrate large and complex …
Employing artificial intelligence to steer exascale workflows with colmena
Computational workflows are a common class of application on supercomputers, yet the
loosely coupled and heterogeneous nature of workflows often fails to take full advantage of …
loosely coupled and heterogeneous nature of workflows often fails to take full advantage of …
Xel: A cloud-agnostic data platform for the design-driven building of high-availability data science services
JA Barron-Lugo, JL Gonzalez-Compean… - Future Generation …, 2023 - Elsevier
This paper presents Xel, a cloud-agnostic data platform for the design-driven building of
high-availability data science services as a support tool for data-driven decision-making. We …
high-availability data science services as a support tool for data-driven decision-making. We …
[HTML][HTML] The EU Center of Excellence for Exascale in Solid Earth (ChEESE): Implementation, results, and roadmap for the second phase
Abstract The EU Center of Excellence for Exascale in Solid Earth (ChEESE) develops
exascale transition capabilities in the domain of Solid Earth, an area of geophysics rich in …
exascale transition capabilities in the domain of Solid Earth, an area of geophysics rich in …
[HTML][HTML] Pyophidia: a python library for high performance data analytics at scale
The increasing size of scientific datasets has caused a deep transformation in the way
scientific research is currently carried out. In multiple domains, Big Data challenges have …
scientific research is currently carried out. In multiple domains, Big Data challenges have …
Kernel-as-a-Service: A serverless programming model for heterogeneous hardware accelerators
With the slowing of Moore's law and decline of Dennard scaling, computing systems
increasingly rely on specialized hardware accelerators in addition to general-purpose …
increasingly rely on specialized hardware accelerators in addition to general-purpose …
Extreme-scale workflows: A perspective from the JLESC international community
Abstract The Joint Laboratory for Extreme-Scale Computing (JLESC) focuses on software
challenges in high-performance computing systems to meet the needs of today's science …
challenges in high-performance computing systems to meet the needs of today's science …
An ensemble machine learning approach for tropical cyclone localization and tracking from ERA5 reanalysis data
Abstract Tropical Cyclones (TCs) are counted among the most destructive phenomena that
can be found in nature. Every year, globally an average of 90 TCs occur over tropical waters …
can be found in nature. Every year, globally an average of 90 TCs occur over tropical waters …