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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-13325-2openalex-snapshot
High Performance Computing in Science and Engineering ' 18
inferredcites →https://doi.org/10.1007/978-3-319-41321-1_17openalex-snapshot
Comparing Runtime Systems with Exascale Ambitions Using the Parallel Research Kernels
inferredcites →https://doi.org/10.1007/978-3-642-59686-5_46openalex-snapshot
KaHPF: Compiler generated Data Prefetching for HPF
inferredcites →https://doi.org/10.1063/1.4823319openalex-snapshot
The High Performance Fortran Handbook
inferredcites →https://doi.org/10.1109/hpec.2014.7040972openalex-snapshot
The Parallel Research Kernels
inferredcites →https://doi.org/10.1109/icpp.1997.622526openalex-snapshot
Proceedings of the 1997 International Conference on Parallel Processing (Cat. No.97TB100162)
inferredcites →https://doi.org/10.1109/icpp.1997.622647openalex-snapshot
Quantifying the effects of communication optimizations
inferredcites →https://doi.org/10.1109/ipdps.2008.4536359openalex-snapshot
Qthreads: An API for programming with millions of lightweight threads
inferredcites →https://doi.org/10.1109/ipdps.2011.105openalex-snapshot
Communication Optimizations for Distributed-Memory X10 Programs
inferredcites →https://doi.org/10.1109/ipdps.2014.115openalex-snapshot
UPC++: A PGAS Extension for C++
inferredcites →https://doi.org/10.1109/ipdpsw.2016.193openalex-snapshot
PGAS Access Overhead Characterization in Chapel
inferredcites →https://doi.org/10.1109/ipdpsw.2017.126openalex-snapshot
Comparative Performance and Optimization of Chapel in Modern Manycore Architectures
inferredcites →https://doi.org/10.1109/pact.2005.13openalex-snapshot
Communication optimizations for fine-grained UPC applications
inferredcites →https://doi.org/10.1109/pgas.2015.10openalex-snapshot
Caching Puts and Gets in a PGAS Language Runtime
inferredcites →https://doi.org/10.1109/pgas.2015.16openalex-snapshot
PHLAME: Hierarchical Locality Exploitation Using the PGAS Model
inferredcites →https://doi.org/10.1109/pgas.2015.24openalex-snapshot
Using the Parallel Research Kernels to Study PGAS Models
inferredcites →https://doi.org/10.1109/sbac-pad.2012.18openalex-snapshot
Global Data Re-allocation via Communication Aggregation in Chapel
inferredcites →https://doi.org/10.1145/1065944.1065950openalex-snapshot
An evaluation of global address space languages
inferredcites →https://doi.org/10.1145/109625.109637openalex-snapshot
Scalable reader-writer synchronization for shared-memory multiprocessors
inferredcites →https://doi.org/10.1145/1345206.1345211openalex-snapshot
Type inference for locality analysis of distributed data structures
inferredcites →https://doi.org/10.1145/1375527.1375567openalex-snapshot
Performance portable optimizations for loops containing communication operations
inferredcites →https://doi.org/10.1145/1408643.1408645openalex-snapshot
The new features of Fortran 2008
inferredcites →https://doi.org/10.1145/1465482.1465560openalex-snapshot
Validity of the single processor approach to achieving large scale computing capabilities
inferredcites →https://doi.org/10.1145/2464996.2465006openalex-snapshot
Improving communication in PGAS environments
inferredcites →https://doi.org/10.1145/2464996.2467277openalex-snapshot
Improving performance of all-to-all communication through loop scheduling in PGAS environments
inferredcites →https://doi.org/10.1145/2833157.2833164openalex-snapshot
LLVM-based communication optimizations for PGAS programs
inferredcites →https://doi.org/10.1145/2897783openalex-snapshot
Exploiting Hierarchical Locality in Deep Parallel Architectures
inferredcites →https://doi.org/10.1145/289918.289920openalex-snapshot
Co-array Fortran for parallel programming
inferredcites →https://doi.org/10.1177/1094342007078442openalex-snapshot
Parallel Programmability and the Chapel Language
inferredcites →https://doi.org/10.5555/3019040.3019044openalex-snapshot
Optimizing PGAS overhead in a multi-locale chapel implementation of CoMD
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-030-99372-6_1openalex-snapshot
Locality-Based Optimizations in the Chapel Compiler
inferred← citeshttps://doi.org/10.1007/978-3-031-39698-4_3openalex-snapshot
Extending OpenSHMEM with Aggregation Support for Improved Message Rate Performance
inferred← citeshttps://doi.org/10.1109/ccgrid.2019.00050openalex-snapshot
A Machine Learning Approach for Productive Data Locality Exploitation in Parallel Computing Systems
inferred← citeshttps://doi.org/10.1109/ipdps57955.2024.00071openalex-snapshot
Adaptive Prefetching for Fine-grain Communication in PGAS Programs
inferred← citeshttps://doi.org/10.1109/ipdpsw50202.2020.00113openalex-snapshot
An Automated Machine Learning Approach for Data Locality Optimizations in Chapel
inferred← citeshttps://doi.org/10.1109/ipdpsw66978.2025.00034openalex-snapshot
Implementing Directive-Based Deferred Execution for Effective Network Aggregation
inferred← citeshttps://doi.org/10.1109/paw-atm.2018.00009openalex-snapshot
Chapel Aggregation Library (CAL)
inferred← citeshttps://doi.org/10.1109/tpds.2021.3051348openalex-snapshot
A Machine-Learning-Based Framework for Productive Locality Exploitation
inferred← citeshttps://doi.org/10.1145/3545008.3545044openalex-snapshot
SPAMeR: Speculative Push for Anticipated Message Requests in Multi-Core Systems
inferred← citeshttps://doi.org/10.2197/ipsjjip.30.464openalex-snapshot
Cost-aware Programming on Page-based Distributed Shared Memory
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