On the public citation graph
ScalaIOExtrap: Elastic I/O Tracing and Extrapolation
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-09873-9_2openalex-snapshot
ScalaJack: Customized Scalable Tracing with In-situ Data Analysis
inferredcites →https://doi.org/10.1007/978-3-642-15646-5_8openalex-snapshot
Automated Tracing of I/O Stack
inferredcites →https://doi.org/10.1007/978-3-642-24749-1_18openalex-snapshot
Light-Weight Parallel I/O Analysis at Scale
inferredcites →https://doi.org/10.1007/978-3-642-28145-7_40openalex-snapshot
ScalaTrace: Tracing, Analysis and Modeling of HPC Codes at Scale
inferredcites →https://doi.org/10.1007/978-3-642-31464-3_2openalex-snapshot
Modeling a Leadership-Scale Storage System
inferredcites →https://doi.org/10.1016/j.jpdc.2008.09.001openalex-snapshot
ScalaTrace: Scalable compression and replay of communication traces for high-performance computing
inferredcites →https://doi.org/10.1016/s0167-8191(01)00129-6openalex-snapshot
Optimizing noncontiguous accesses in MPI–IO
inferredcites →https://doi.org/10.1109/clustr.2009.5289150openalex-snapshot
24/7 Characterization of petascale I/O workloads
inferredcites →https://doi.org/10.1109/icpp.1994.151openalex-snapshot
Parallel Program Trace Extrapolation
inferredcites →https://doi.org/10.1109/icpp.2011.50openalex-snapshot
Probabilistic Communication and I/O Tracing with Deterministic Replay at Scale
inferredcites →https://doi.org/10.1109/ipdps.2007.370261openalex-snapshot
Scalable Compression and Replay of Communication Traces in Massively P arallel E nvironments
inferredcites →https://doi.org/10.1109/msst.2012.6232369openalex-snapshot
On the role of burst buffers in leadership-class storage systems
inferredcites →https://doi.org/10.1109/pads.2003.1207431openalex-snapshot
Large-scale TCP models using optimistic parallel simulation
inferredcites →https://doi.org/10.1109/pads.2009.21openalex-snapshot
Scalable Time Warp on Blue Gene Supercomputers
inferredcites →https://doi.org/10.1109/splc.1993.365577openalex-snapshot
Scalable performance analysis: the Pablo performance analysis environment
inferredcites →https://doi.org/10.1145/1188455.1188605openalex-snapshot
Poster reception---Scalable compression and replay of communication traces in massively parallel environments
inferredcites →https://doi.org/10.1145/1375527.1375537openalex-snapshot
Preserving time in large-scale communication traces
inferredcites →https://doi.org/10.1145/1654059.1654115openalex-snapshot
Evaluating similarity-based trace reduction techniques for scalable performance analysis
inferredcites →https://doi.org/10.1145/1713072.1713080openalex-snapshot
Scalable I/O tracing and analysis
inferredcites →https://doi.org/10.1145/2464996.2465001openalex-snapshot
Elastic and scalable tracing and accurate replay of non-deterministic events
inferredcites →https://doi.org/10.1145/582034.582071openalex-snapshot
Predictive performance and scalability modeling of a large-scale application
inferredcites →https://doi.org/10.1145/956993.956999openalex-snapshot
Large-scale network simulation techniques
inferredcites →https://doi.org/10.2172/1055420openalex-snapshot
Performance analysis of Darshan 2.2.3 on the Cray XE6 platform
inferredcites →https://doi.org/10.5555/2591305.2591326openalex-snapshot
Automatic identification of application I/O signatures from noisy server-side traces
inferredcites →https://doi.org/10.5555/824475.825862openalex-snapshot
Large-scale TCP models using optimistic parallel simulation
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-030-02465-9_7openalex-snapshot
IOscope: A Flexible I/O Tracer for Workloads’ I/O Pattern Characterization
inferred← citeshttps://doi.org/10.1109/cluster48925.2021.00100openalex-snapshot
Parallel I/O Evaluation Techniques and Emerging HPC Workloads: A Perspective
inferred← citeshttps://doi.org/10.1109/cluster59578.2024.00009openalex-snapshot
Siesta: Synthesizing Proxy Applications for MPI Programs
inferred← citeshttps://doi.org/10.1109/hpcc64274.2024.00030openalex-snapshot
TraceGen: A Block-level Storage System Performance Evaluation Tool for Analyzing and Generating I/O Traces
inferred← citeshttps://doi.org/10.1109/nas63802.2024.10781347openalex-snapshot
Accurate Generation of I/O Workloads Using Generative Adversarial Networks
inferred← citeshttps://doi.org/10.1109/tpds.2021.3132417openalex-snapshot
Lossy Compression of Communication Traces Using Recurrent Neural Networks
inferred← citeshttps://doi.org/10.1109/tpds.2025.3639682openalex-snapshot
A Survey on Machine Learning-Based HPC I/O Analysis and Optimization
inferred← citeshttps://doi.org/10.1145/3149376openalex-snapshot
Challenges and Solutions for Tracing Storage Systems
inferred← citeshttps://doi.org/10.1145/3404119openalex-snapshot
Inspection and Characterization of App File Usage in Mobile Devices
inferred← citeshttps://doi.org/10.1145/3611007openalex-snapshot
I/O Access Patterns in HPC Applications: A 360-Degree Survey
inferred← citeshttps://doi.org/10.70675/47e251bfzd461z47dfzbef5zab75d344fec0openalex-snapshot
Experimental Methods for the Evaluation of Big Data Systems
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