I/o access patterns in hpc applications: A 360-degree survey
The high-performance computing I/O stack has been complex due to multiple software
layers, the inter-dependencies among these layers, and the different performance tuning …
layers, the inter-dependencies among these layers, and the different performance tuning …
Challenges and opportunities in magnetospheric space weather prediction
SK Morley - Space Weather, 2020 - Wiley Online Library
Abstract Space Weather is the study of the dynamics of the coupled Solar‐Terrestrial
environment, as these dynamics impact technological systems and human activity. This …
environment, as these dynamics impact technological systems and human activity. This …
Big data and extreme-scale computing: Pathways to convergence-toward a sha** strategy for a future software and data ecosystem for scientific inquiry
Over the past four years, the Big Data and Exascale Computing (BDEC) project organized a
series of five international workshops that aimed to explore the ways in which the new forms …
series of five international workshops that aimed to explore the ways in which the new forms …
I/o characterization and performance evaluation of beegfs for deep learning
Parallel File Systems (PFSs) are frequently deployed on leadership High Performance
Computing (HPC) systems to ensure efficient I/O, persistent storage and scalable …
Computing (HPC) systems to ensure efficient I/O, persistent storage and scalable …
Modular hpc i/o characterization with darshan
Contemporary high-performance computing (HPC) applications encompass a broad range
of distinct I/O strategies and are often executed on a number of different compute platforms …
of distinct I/O strategies and are often executed on a number of different compute platforms …
Revisiting I/O behavior in large-scale storage systems: The expected and the unexpected
Large-scale applications typically spend a large fraction of their execution time performing
I/O to a parallel storage system. However, with rapid progress in compute and storage …
I/O to a parallel storage system. However, with rapid progress in compute and storage …
Scaling spark on hpc systems
We report our experiences porting Spark to large production HPC systems. While Spark
performance in a data center installation (with local disks) is dominated by the network, our …
performance in a data center installation (with local disks) is dominated by the network, our …
End-to-end I/O monitoring on leading supercomputers
This paper offers a solution to overcome the complexities of production system I/O
performance monitoring. We present Beacon, an end-to-end I/O resource monitoring and …
performance monitoring. We present Beacon, an end-to-end I/O resource monitoring and …
A year in the life of a parallel file system
I/O performance is a critical aspect of data-intensive scientific computing. We seek to
advance the state of the practice in understanding and diagnosing I/O performance issues …
advance the state of the practice in understanding and diagnosing I/O performance issues …
CUBE: A scalable framework for large-scale industrial simulations
Writing high-performance solvers for engineering applications is a delicate task. These
codes are often developed on an application to application basis, highly optimized to solve a …
codes are often developed on an application to application basis, highly optimized to solve a …