{TVStore}: automatically bounding time series storage via {Time-Varying} compression

Y An, Y Su, Y Zhu, J Wang - 20th USENIX Conference on File and …, 2022 - usenix.org
A pressing demand emerges for storing extreme-scale time series data, which are widely
generated by industry and research at an increasing speed. Automatically constraining data …

Examining failures and repairs on supercomputers with multi-GPU compute nodes

A Taherin, T Patel, G Georgakoudis… - 2021 51st Annual …, 2021 - ieeexplore.ieee.org
Understanding the reliability characteristics of supercomputers has been a key focus of the
HPC and dependability communities. However, there is no current study that analyzes both …

A visual analytics method for time-series log data using multiple dimensionality reduction

K Fujita, N Sakamoto, T Fujiwara… - Journal of Advanced …, 2022 - jstage.jst.go.jp
The size and complexity of supercomputer systems and their power and cooling facilities
have continuously increased, thus posing additional challenge for long-term and stable …

[PDF][PDF] Examining Failures and Repairs on Supercomputerswith Multi-GPU Compute Nodes

A Taherin, T Patel, D Tiwari, G Georgakoudis, I Laguna - 2023 - osti.gov
Understanding the reliability characteristics of supercomputers has been a key focus of the
HPC and dependability communities. However, there is no current study that analyzes both …

[图书][B] Practical GPGPU Application Resilience Estimation and Fortification

L Yang - 2022 - search.proquest.com
Abstract Graphics Processing Units (GPUs) are becoming a de facto solution for
accelerating a wide range of applications but remain susceptible to transient hardware faults …

Reflections on the Developments of Visual Analytics Systems for the K Computer System Log Data

J Nonaka, K Fujita, T Fujiwara… - VisGap-The Gap …, 2023 - da.lib.kobe-u.ac.jp
Flagship-class high-performance computing (HPC) systems, also known as
supercomputers, are large, complex systems that require particular attention for continuous …