Smart: A mapreduce-like framework for in-situ scientific analytics
In-situ analytics has lately been shown to be an effective approach to reduce both I/O and
storage costs for scientific analytics. Developing an efficient in-situ implementation, however …
storage costs for scientific analytics. Developing an efficient in-situ implementation, however …
Optimal scheduling of in-situ analysis for large-scale scientific simulations
Today's leadership computing facilities have enabled the execution of transformative
simulations at unprecedented scales. However, analyzing the huge amount of output from …
simulations at unprecedented scales. However, analyzing the huge amount of output from …
Academic analytics: a meta-analysis of its applications in higher education
YY Wong - International Journal of Services and Standards, 2016 - inderscienceonline.com
Academic analytics is being practised increasingly in higher education institutions. Through
analyses of data patterns, it provides information for evidence-based decisions for standards …
analyses of data patterns, it provides information for evidence-based decisions for standards …
A survey of algorithms for transforming molecular dynamics data into metadata for in situ analytics based on machine learning methods
This paper presents the survey of three algorithms to transform atomic-level molecular
snapshots from molecular dynamics (MD) simulations into metadata representations that are …
snapshots from molecular dynamics (MD) simulations into metadata representations that are …
Topology-aware space-shared co-analysis of large-scale molecular dynamics simulations
Analysis of scientific simulation data can be concurrently executed with simulation either in
time-or space-shared mode. This mitigates the I/O bottleneck, however it results in either …
time-or space-shared mode. This mitigates the I/O bottleneck, however it results in either …
From HPC performance to climate modeling: Transforming methods for HPC predictions into models of extreme climate conditions
R McKinney, VK Pallipuram, R Vargas… - 2015 IEEE 11th …, 2015 - ieeexplore.ieee.org
In the past forty years, the high-performance computing (HPC) community has been
developing powerful and rigorous tools for predicting the performance of supercomputers …
developing powerful and rigorous tools for predicting the performance of supercomputers …
Scalable in situ analysis of molecular dynamics simulations
Analysis of scientific simulation data enables scientists to glean insight from simulations. In
situ analysis, which can be simultaneously executed with the simulation, mitigates I/O …
situ analysis, which can be simultaneously executed with the simulation, mitigates I/O …
Supporting fault-tolerance in presence of in-situ analytics
In-situ analytics have recently emerged as a promising approach to reduce I/O, network, and
storage congestion for scientific data analysis. At the same time, Mean Time To Failure …
storage congestion for scientific data analysis. At the same time, Mean Time To Failure …
Bandwidth modeling in large distributed systems for big data applications
The emergence of Big Data applications provides new challenges in data management
such as processing and movement of masses of data. Volunteer computing has proven itself …
such as processing and movement of masses of data. Volunteer computing has proven itself …
Data movement in data-intensive high performance computing
The cost of executing a floating point operation has been decreasing for decades at a much
higher rate than that of moving data. Bandwidth and latency, two key metrics that determine …
higher rate than that of moving data. Bandwidth and latency, two key metrics that determine …