Tuning parallel data compression and i/o for large-scale earthquake simulation
Scientific applications, such as those simulating earthquakes, the origins of universe, etc.,
often produce massive amounts of data as high-performance computing (HPC) systems are …
often produce massive amounts of data as high-performance computing (HPC) systems are …
Interpreting write performance of supercomputer I/O systems with regression models
This work seeks to advance the state of the art in HPC I/O performance analysis and
interpretation. In particular, we demonstrate effective techniques to:(1) model output …
interpretation. In particular, we demonstrate effective techniques to:(1) model output …
Processing full-scale square kilometre array data on the summit supercomputer
This work presents a workflow for simulating and processing the full-scale low-frequency
telescope data of the Square Kilometre Array (SKA) Phase 1. The SKA project will enter the …
telescope data of the Square Kilometre Array (SKA) Phase 1. The SKA project will enter the …
Sctuner: An autotuner addressing dynamic i/o needs on supercomputer i/o subsystems
In high-performance computing (HPC), scientific applications often manage a massive
amount of data using I/O libraries. These libraries provide convenient data model …
amount of data using I/O libraries. These libraries provide convenient data model …
Battle of the defaults: Extracting performance characteristics of HDF5 under production load
Popular parallel I/O libraries, such as HDF5, provide tuning parameters to obtain superior
performance. However, the selection of effective parameters on production systems is …
performance. However, the selection of effective parameters on production systems is …
An empirical study of package dependencies and lifetimes in binder Python containers
Containers are widely used in scientific applications as they provide greater precision and
flexibility in controlling nearly every aspect of the software environment. They can also be …
flexibility in controlling nearly every aspect of the software environment. They can also be …
Applying machine learning to understand write performance of large-scale parallel filesystems
In high-performance computing (HPC), I/O performance prediction offers the potential to
improve the efficiency of scientific computing. In particular, accurate prediction can make …
improve the efficiency of scientific computing. In particular, accurate prediction can make …
User-based I/O Profiling for Leadership Scale HPC Workloads
I/O constitutes a significant portion of most of the application run-time. Spawning many such
applications concurrently on an HPC system leads to severe I/O contention. Thus …
applications concurrently on an HPC system leads to severe I/O contention. Thus …
[KNIHA][B] Proactive Storage Management for High-Throughput Scientific Workflows
T Shaffer - 2022 - search.proquest.com
Effectively supporting modern large-scale and data-centric scientific workflows moving into
the exascale era requires a change in the way researchers interact with the system to better …
the exascale era requires a change in the way researchers interact with the system to better …
Interpreting Write Performance of Supercomputer I/O Systems with Machine Intelligence
This work seeks to advance the state of the art in HPC I/O performance analysis and
interpretation. In particular, we demonstrate effective techniques to:(1) model output …
interpretation. In particular, we demonstrate effective techniques to:(1) model output …