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Damaris: How to Efficiently Leverage Multicore Parallelism to Achieve Scalable, Jitter-free I/O
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Noncontiguous I/O through PVFS
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Scalable I/O forwarding framework for high-performance computing systems
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A Steering Environment for Online Parallel Visualization of Legacy Parallel Simulations
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Small-file access in parallel file systems
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Parallel I/O performance: From events to ensembles
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PreDatA – preparatory data analytics on peta-scale machines
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Enabling In-situ Execution of Coupled Scientific Workflow on Multi-core Platform
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Quantifying the Potential Benefit of Overlapping Communication and Computation in Large-Scale Scientific Applications
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Scaling parallel I/O performance through I/O delegate and caching system
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Design, Modeling, and Evaluation of a Scalable Multi-level Checkpointing System
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Functional Partitioning to Optimize End-to-End Performance on Many-core Architectures
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Managing Variability in the IO Performance of Petascale Storage Systems
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High-level buffering for hiding periodic output cost in scientific simulations
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Design and Evaluation of Multiple-Level Data Staging for Blue Gene Systems
inferredcites →https://doi.org/10.1145/1383529.1383533openalex-snapshot
Flexible IO and integration for scientific codes through the adaptable IO system (ADIOS)
inferredcites →https://doi.org/10.1145/1453775.1453784openalex-snapshot
Comparative evaluation of overlap strategies with study of I/O overlap in MPI-IO
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MPI-IO/GPFS, an optimized implementation of MPI-IO on top of GPFS
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A Benchmark Simulation for Moist Nonhydrostatic Numerical Models
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