Affinity-based thread and data map** in shared memory systems

M Diener, EHM Cruz, MAZ Alves, POA Navaux… - ACM Computing …, 2016 - dl.acm.org
Shared memory architectures have recently experienced a large increase in thread-level
parallelism, leading to complex memory hierarchies with multiple cache memory levels and …

Evaluating the Impact of Healthcare 4.0 on the Performance of Hospitals

P Kumar, N Maurya, Keerthiraj… - … and Detection Using …, 2024 - Wiley Online Library
In this evaluation, we identify innovation packages and associated implementation barriers
that might be considered to be part of Healthcare 4.0 (H4. 0) and investigate their impact on …

Accurate solution of wave propagation problems in elasticity

KT Kim, KJ Bathe - Computers & Structures, 2021 - Elsevier
The accurate solution of wave propagations in general two-and three-dimensional solids is
still difficult and frequently impossible to achieve with the current computational schemes …

[HTML][HTML] Techno-economic and life cycle assessment for the zero-carbon emission process of the production of methanol from VOCs

Q Luo, Q Yu, Q Li, J Wan, Y Wang, B Dai… - Journal of Environmental …, 2024 - Elsevier
Volatile organic compounds (VOCs) are one of the major sources of air pollutants, and the
efficient treatment technologies for VOCs have garnered significant attention. The …

On the energy efficiency and performance of irregular application executions on multicore, NUMA and manycore platforms

E Francesquini, M Castro, PH Penna, F Dupros… - Journal of Parallel and …, 2015 - Elsevier
Until the last decade, performance of HPC architectures has been almost exclusively
quantified by their processing power. However, energy efficiency is being recently …

Seismic wave propagation simulations on low-power and performance-centric manycores

M Castro, E Francesquini, F Dupros, H Aochi… - Parallel Computing, 2016 - Elsevier
The large processing requirements of seismic wave propagation simulations make High
Performance Computing (HPC) architectures a natural choice for their execution. However …

Neural operator: Is data all you need to model the world? an insight into the impact of physics informed machine learning

H Viswanath, MA Rahman, A Vyas, A Shor… - arxiv preprint arxiv …, 2023 - arxiv.org
Numerical approximations of partial differential equations (PDEs) are routinely employed to
formulate the solution of physics, engineering and mathematical problems involving …

A new hybrid numerical scheme for modelling elastodynamics in unbounded media with near-source heterogeneities

S Hajarolasvadi, AE Elbanna - Geophysical Journal …, 2017 - academic.oup.com
The finite difference (FD) and the spectral boundary integral (SBI) methods have been used
extensively to model spontaneously-propagating shear cracks in a variety of engineering …

Imaging of seismogenic asperities of the 2016 ML 6.0 Amatrice, Central Italy, earthquake through dynamic rupture simulations

H Aochi, C Twardzik - Pure and Applied Geophysics, 2020 - Springer
Numerical simulations are carried out for the dynamic rupture and wave propagation
process of the 24th August 2016 ML 6.0 Amatrice, Italy, earthquake, using a boundary …

Assessing components of ground‐motion variability from simulations for the Marmara Sea region (Turkey)

J Douglas, H Aochi - Bulletin of the Seismological …, 2016 - pubs.geoscienceworld.org
Recent studies have shown that repeatable travel‐path terms make a high contribution to
the overall variability in earthquake ground motions. Having maps of such terms available …