Mochi: Composing data services for high-performance computing environments

RB Ross, G Amvrosiadis, P Carns, CD Cranor… - Journal of Computer …, 2020 - Springer
Technology enhancements and the growing breadth of application workflows running on
high-performance computing (HPC) platforms drive the development of new data services …

Reimagining codesign for advanced scientific computing: Report for the ascr workshop on reimagining codesign

J Ang, AA Chien, SD Hammond, A Hoisie, I Karlin… - 2022 - osti.gov
In March 2021, the US Department of Energy's Advanced Scientific Computing Research
program convened the Workshop on Reimagining Codesign. The workshop, also known as …

Accelerating hdf5 i/o for exascale using daos

J Soumagne, J Henderson, M Chaarawi… - … on Parallel and …, 2021 - ieeexplore.ieee.org
The Hierarchical Data Format 5 (HDF5) has long been defined as one of the most prominent
data models, binary file formats and I/O libraries for storing and managing scientific data …

Methodology for the rapid development of scalable HPC data services

M Dorier, P Carns, K Harms, R Latham… - 2018 IEEE/ACM 3rd …, 2018 - ieeexplore.ieee.org
Growing evidence in the scientific computing community indicates that parallel file systems
are not sufficient for all HPC storage workloads. This realization has motivated extensive …

Extending composable data services into smartnics

C Ulmer, J Liu, C Maltzahn… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Advanced scientific-computing workflows rely on composable data services to migrate data
between simulation and analysis jobs that run in parallel on high-performance computing …

Using a robust metadata management system to accelerate scientific discovery at extreme scales

M Lawson, J Lofstead - … Workshop on Parallel Data Storage & …, 2018 - ieeexplore.ieee.org
Our previous work, which can be referred to as EMPRESS 1.0, showed that rich metadata
management provides a relatively low-overhead approach to facilitating insight from scale …

EMPRESS: Accelerating Scientific Discovery through Descriptive Metadata Management

M Lawson, W Gropp, J Lofstead - ACM Transactions on Storage, 2022 - dl.acm.org
High-performance computing scientists are producing unprecedented volumes of data that
take a long time to load for analysis. However, many analyses only require loading in the …

RaDD runtimes: Radical and different distributed runtimes with smartnics

RE Grant, W Schonbein, S Levy - 2020 IEEE/ACM Fourth …, 2020 - ieeexplore.ieee.org
As network speeds increase, the overhead of processing incoming messages is becoming
onerous enough that many manufacturers now provide network interface cards (NICs) with …

Opportunistic Query Execution on SmartNICs for Analyzing In-Transit Data

J Liu, C Maltzahn, C Ulmer - 2023 IEEE High Performance …, 2023 - ieeexplore.ieee.org
High-performance computing (HPC) systems researchers have proposed using current,
programmable network interface cards (or SmartNICs) to offload data management services …

Benesh: a Framework for Choreographic Coordination of In Situ Workflows

PE Davis, J Merson, P Subedi… - 2023 IEEE 30th …, 2023 - ieeexplore.ieee.org
The growing scale of high-performance computing systems increasingly enables scientists
to develop more complex applications as in situ workflows composed of coupled simulation …