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Opportunistic Data-driven Execution of Parallel Programs for Efficient I/O Services

https://doi.org/10.1109/ipdps.2012.39
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/11549468_136openalex-snapshot
High Performance Computing for a Financial Application Using Fast Fourier Transform
inferredcites →https://doi.org/10.1109/ccgrid.2003.1199358openalex-snapshot
Noncontiguous I/O accesses through MPI-IO
inferredcites →https://doi.org/10.1109/fmpc.1999.750599openalex-snapshot
Data sieving and collective I/O in ROMIO
inferredcites →https://doi.org/10.1109/ipdps.2006.1639306openalex-snapshot
Evaluating I/O characteristics and methods for storing structured scientific data
inferredcites →https://doi.org/10.1109/ipdps.2009.5161070openalex-snapshot
Making resonance a common case: A high-performance implementation of collective I/O on parallel file systems
inferredcites →https://doi.org/10.1109/ipdps.2012.70openalex-snapshot
iTransformer: Using SSD to Improve Disk Scheduling for High-performance I/O
inferredcites →https://doi.org/10.1109/sc.2008.5213209openalex-snapshot
Hiding I/O latency with pre-execution prefetching for parallel applications
inferredcites →https://doi.org/10.1109/sc.2008.5213604openalex-snapshot
Parallel I/O prefetching using MPI file caching and I/O signatures
inferredcites →https://doi.org/10.1109/sc.2010.30openalex-snapshot
IOrchestrator: Improving the Performance of Multi-node I/O Systems via Inter-Server Coordination
inferredcites →https://doi.org/10.1109/sc.2010.32openalex-snapshot
Managing Variability in the IO Performance of Petascale Storage Systems
inferredcites →https://doi.org/10.1145/1327452.1327492openalex-snapshot
MapReduce
inferredcites →https://doi.org/10.1145/1629575.1629600openalex-snapshot
Distributed aggregation for data-parallel computing
inferredcites →https://doi.org/10.1145/1654059.1654081openalex-snapshot
PLFS
inferredcites →https://doi.org/10.1145/1810085.1810116openalex-snapshot
InterferenceRemoval
inferredcites →https://doi.org/10.1145/2048066.2048134openalex-snapshot
AC
inferredcites →https://doi.org/10.1145/268998.266705openalex-snapshot
Exploiting the non-determinism and asynchrony of set iterators to reduce aggregate file I/O latency
inferredcites →https://doi.org/10.1145/346152.346239openalex-snapshot
Automatic generation of I/O prefetching hints through speculative execution (poster session)
inferredcites →https://doi.org/10.1145/502034.502046openalex-snapshot
Anticipatory scheduling
inferredcites →https://doi.org/10.1184/r1/6603755openalex-snapshot
Automatic I/O Hint Generation through Speculative Execution
inferredcites →https://doi.org/10.1184/r1/6608453openalex-snapshot
PLFS: A Checkpoint Filesystem for Parallel Applications
inferredcites →https://doi.org/10.5555/1413370.1413411openalex-snapshot
Hiding I/O latency with pre-execution prefetching for parallel applications
inferredcites →https://doi.org/10.5555/1413370.1413415openalex-snapshot
Parallel I/O prefetching using MPI file caching and I/O signatures

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-030-29029-0_63openalex-snapshot
Evaluation of I/O Performance Regulating Function with a Virtual Machine
inferred← citeshttps://doi.org/10.1007/978-3-319-25744-0_7openalex-snapshot
Toward Scheduling I/O Request of Mapreduce Tasks Based on Markov Model
inferred← citeshttps://doi.org/10.1007/978-3-319-72971-8_3openalex-snapshot
Periodic I/O Scheduling for Super-Computers
inferred← citeshttps://doi.org/10.1007/s10951-021-00685-8openalex-snapshot
Scheduling periodic I/O access with bi-colored chains: models and algorithms
inferred← citeshttps://doi.org/10.1007/s11227-014-1329-0openalex-snapshot
IOPro: a parallel I/O profiling and visualization framework for high-performance storage systems
inferred← citeshttps://doi.org/10.1016/j.parco.2016.05.005openalex-snapshot
I/O-aware bandwidth allocation for petascale computing systems
inferred← citeshttps://doi.org/10.1109/cluster.2015.45openalex-snapshot
I/O-Aware Batch Scheduling for Petascale Computing Systems
inferred← citeshttps://doi.org/10.1109/iccsnt.2015.7490756openalex-snapshot
Mitigate I/O access pattern divergence with heterogeneous architecture in HDFS
inferred← citeshttps://doi.org/10.1109/icppw.2014.20openalex-snapshot
IO-Cop: Managing Concurrent Accesses to Shared Parallel File System
inferred← citeshttps://doi.org/10.1109/ipdps.2013.21openalex-snapshot
iBridge: Improving Unaligned Parallel File Access with Solid-State Drives
inferred← citeshttps://doi.org/10.1109/ipdps.2014.27openalex-snapshot
CALCioM: Mitigating I/O Interference in HPC Systems through Cross-Application Coordination
inferred← citeshttps://doi.org/10.1109/ipdps.2015.116openalex-snapshot
Scheduling the I/O of HPC Applications Under Congestion
inferred← citeshttps://doi.org/10.1109/mascots.2013.19openalex-snapshot
LiU: Hiding Disk Access Latency for HPC Applications with a New SSD-Enabled Data Layout
inferred← citeshttps://doi.org/10.1109/paap.2018.00019openalex-snapshot
Memory Hierarchy Aware I/O Scheduling under Contention for Hybrid Storage Based HPC
inferred← citeshttps://doi.org/10.1109/sc.2014.56openalex-snapshot
Omnisc'IO: A Grammar-Based Approach to Spatial and Temporal I/O Patterns Prediction
inferred← citeshttps://doi.org/10.1109/tpds.2015.2485980openalex-snapshot
Using Formal Grammars to Predict I/O Behaviors in HPC: The Omnisc'IO Approach
inferred← citeshttps://doi.org/10.1145/3079079.3079087openalex-snapshot
SSDUP
inferred← citeshttps://doi.org/10.1145/3338510openalex-snapshot
I/O Scheduling Strategy for Periodic Applications
inferred← citeshttps://doi.org/10.1145/3392717.3392755openalex-snapshot
Compiler aided checkpointing using crash-consistent data structures in NVMM systems
inferred← citeshttps://doi.org/10.70675/cc3d6340z8abdz44b8zb86cz0170b57c9307openalex-snapshot
Resilient scheduling algorithms for large-scale platforms
inferred← citeshttps://doi.org/10.7282/t3sn0c1sopenalex-snapshot
Autonomic data management for extreme scale coupled scientific workflows
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