Serviz: A shared in situ visualization service

S Ramesh, H Childs, A Malony - … : International Conference for …, 2022 - ieeexplore.ieee.org
Inline and in transit visualization are popular in situ visualization models for high
performance computing (HPC) applications. Inline visualization is invoked through a library …

A view from ORNL: Scientific data research opportunities in the big data age

S Klasky, M Wolf, M Ainsworth, C Atkins… - 2018 IEEE 38th …, 2018 - ieeexplore.ieee.org
One of the core issues across computer and computational science today is adapting to,
managing, and learning from the influx of" Big Data". In the commercial space, this problem …

SOMA: Observability, monitoring, and in situ analytics for exascale applications

D Yokelson, O Lappi, S Ramesh… - Concurrency and …, 2024 - Wiley Online Library
With the rise of exascale systems and large, data‐centric workflows, the need to observe
and analyze high performance computing (HPC) applications during their execution is …

A hybrid in situ approach for cost efficient image database generation

V Bruder, M Larsen, T Ertl, H Childs… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The visualization of results while the simulation is running is increasingly common in
extreme scale computing environments. We present a novel approach for in situ generation …

[PDF][PDF] Observability, monitoring, and in situ analytics in exascale applications

D Yokelson, O Lappi, S Ramesh, M Vaisala, K Huck… - Cray User Group, 2023 - cug.org
With the rise of exascale systems and large, datacentric workflows, the need to observe and
analyze high performance computing (HPC) applications during their execution is becoming …

Scheduling hpc workflows with intel optane persistent memory

RS Venkatesh, T Mason, P Fernando… - 2021 IEEE …, 2021 - ieeexplore.ieee.org
HPC workloads and their Increasing data processing demands have led to using in situ
execution, which couples simulation and analytics to reduce cross node memory accesses …

Gpu adaptive in-situ parallel analytics (gap)

H Xing, G Agrawal, R Ramnath - Proceedings of the International …, 2022 - dl.acm.org
Despite the popularity of in-situ analytics in scientific computing, there is only limited work to
date on in-situ analytics for simulations running on GPUs. Notably, two unaddressed …

Scalable performance awareness for in situ scientific applications

M Wolf, J Choi, G Eisenhauer, S Ethier… - 2019 15th …, 2019 - ieeexplore.ieee.org
Part of the promise of exascale computing and the next generation of scientific simulation
codes is the ability to bring together time and spatial scales that have traditionally been …

Assembling portable in-situ workflow from heterogeneous components using data reorganization

B Zhang, P Subedi, PE Davis, F Rizzi… - 2022 22nd IEEE …, 2022 - ieeexplore.ieee.org
Heterogeneous computing is becoming common in the HPC world. The fast-changing
hardware landscape is pushing programmers and developers to rely on performance …

DYFLOW: A flexible framework for orchestrating scientific workflows on supercomputers

S Singhal, A Sussman, M Wolf, K Mehta… - … Conference on Parallel …, 2021 - dl.acm.org
Modern scientific workflows are increasing in complexity with growth in computation power,
incorporation of non-traditional computation methods, and advances in technologies …