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Accurate performance prediction for massively parallel systems and its applications
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1006/jpdc.1996.0010openalex-snapshot
C3: A Parallel Model for Coarse-Grained Machines
inferredcites →https://doi.org/10.1007/3-540-61142-8_606openalex-snapshot
Sequential performance versus scalability: Optimizing parallel LU-decomposition
inferredcites →https://doi.org/10.1007/bf01185206openalex-snapshot
The uniform memory hierarchy model of computation
inferredcites →https://doi.org/10.1007/bfb0024764openalex-snapshot
Accurate performance prediction for massively parallel systems and its applications
inferredcites →https://doi.org/10.1016/0167-8191(94)90054-xopenalex-snapshot
Performance modelling of grid problems — a case study on the SUPRENUM system
inferredcites →https://doi.org/10.1016/0743-7315(92)90093-3openalex-snapshot
A methodology for performance evaluation of parallel applications on multiprocessors
inferredcites →https://doi.org/10.1016/0743-7315(92)90110-9openalex-snapshot
A methodology for performance analysis of parallel computations with looping constructs
inferredcites →https://doi.org/10.1109/32.67581openalex-snapshot
Performance measurement and modeling to evaluate various effects on a shared memory multiprocessor
inferredcites →https://doi.org/10.1109/71.406963openalex-snapshot
Comparative performance evaluation of hot spot contention between MIN-based and ring-based shared-memory architectures
inferredcites →https://doi.org/10.1109/spdp.1993.395525openalex-snapshot
A methodology for the performance prediction of massively parallel applications
inferredcites →https://doi.org/10.1145/155332.155333openalex-snapshot
LogP: towards a realistic model of parallel computation
inferredcites →https://doi.org/10.1145/3749740.3749753openalex-snapshot
A Bridging Model for Parallel Computation
inferredcites →https://doi.org/10.1145/800133.804339openalex-snapshot
Parallelism in random access machines
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/3-540-44863-2_91openalex-snapshot
A Performance Prediction Framework for Scientific Applications
inferred← citeshttps://doi.org/10.1007/3-540-44864-0_77openalex-snapshot
Performance Modeling for Dynamic Algorithm Selection
inferred← citeshttps://doi.org/10.1007/3-540-49530-4_18openalex-snapshot
A Performance Prediction Framework for Data Intensive Applications on Large Scale Parallel Machines
inferred← citeshttps://doi.org/10.1007/978-3-319-15786-3_2openalex-snapshot
Performance and Energy Efficiency of Parallel Processing in Data Center Environments
inferred← citeshttps://doi.org/10.1016/j.future.2004.11.019openalex-snapshot
A performance prediction framework for scientific applications
inferred← citeshttps://doi.org/10.1016/j.peva.2004.10.017openalex-snapshot
A methodology for detailed performance modeling of reduction computations on SMP machines
inferred← citeshttps://doi.org/10.1016/s0020-0190(98)00062-3openalex-snapshot
The Latency-of-Data-Access model for analyzing parallel computation
inferred← citeshttps://doi.org/10.1016/s0065-2458(08)00001-6openalex-snapshot
DARPA's HPCS Program: History, Models, Tools, Languages
inferred← citeshttps://doi.org/10.1016/s0065-2458(08)00003-xopenalex-snapshot
Performance Prediction and Ranking of Supercomputers
inferred← citeshttps://doi.org/10.1109/clustr.2008.4663777openalex-snapshot
Prediction of behavior of MPI applications
inferred← citeshttps://doi.org/10.1109/dodugc.2005.51openalex-snapshot
Performance Sensitivity Studies for Strategic Applications
inferred← citeshttps://doi.org/10.1109/empdp.2004.1271444openalex-snapshot
Performance prediction using an application-oriented mapping tool
inferred← citeshttps://doi.org/10.1109/hcw.1997.581407openalex-snapshot
The MOL project: an open, extensible metacomputer
inferred← citeshttps://doi.org/10.1109/hpcsim.2014.6903789openalex-snapshot
Using static analysis data for performance modeling and prediction
inferred← citeshttps://doi.org/10.1109/ipdps.2005.196openalex-snapshot
EMPS: An Environment for Memory Performance Studies
inferred← citeshttps://doi.org/10.1109/ipdpsw.2012.226openalex-snapshot
Modeling and Predicting Performance of High Performance Computing Applications on Hardware Accelerators
inferred← citeshttps://doi.org/10.1109/ispan.1999.778962openalex-snapshot
Using stochastic intervals to predict application behavior on contended resources
inferred← citeshttps://doi.org/10.1109/sc.2002.10004openalex-snapshot
A Framework for Performance Modeling and Prediction
inferred← citeshttps://doi.org/10.1109/sc.2005.20openalex-snapshot
Cross-Platform Performance Prediction of Parallel Applications Using Partial Execution
inferred← citeshttps://doi.org/10.1109/sc.2005.33openalex-snapshot
How well can simple metrics represent the performance of HPC applications?
inferred← citeshttps://doi.org/10.1145/1362622.1362686openalex-snapshot
A genetic algorithms approach to modeling the performance of memory-bound computations
inferred← citeshttps://doi.org/10.1145/1995896.1995928openalex-snapshot
An idiom-finding tool for increasing productivity of accelerators
inferred← citeshttps://doi.org/10.1177/109434200001400305openalex-snapshot
Efficient Performance Prediction for Large-Scale, Data-Intensive Applications
inferred← citeshttps://doi.org/10.7282/t3cz3bqvopenalex-snapshot
A Framework for Qualitative Performance Prediction
showing the first 25 of 26 · page through all 26
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