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The OPS Domain Specific Abstraction for Multi-block Structured Grid Computations

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

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GPU Computing Gems Jade Edition
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Numerical linear algebra on emerging architectures: The PLASMA and MAGMA projects
inferredcites →https://doi.org/10.1093/comjnl/bxr062openalex-snapshot
Performance Analysis and Optimization of the OP2 Framework on Many-Core Architectures
inferredcites →https://doi.org/10.1109/icapp.2002.1173583openalex-snapshot
Redundant computation partition on distributed-memory systems
inferredcites →https://doi.org/10.1109/ipdps.2011.70openalex-snapshot
PATUS: A Code Generation and Autotuning Framework for Parallel Iterative Stencil Computations on Modern Microarchitectures
inferredcites →https://doi.org/10.1109/ipdpsw.2013.68openalex-snapshot
Loop Chaining: A Programming Abstraction for Balancing Locality and Parallelism
inferredcites →https://doi.org/10.1109/sc.companion.2012.66openalex-snapshot
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The cache performance and optimizations of blocked algorithms
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Delite
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Domain Specific Languages

What points at this work

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

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A General Computational Formalism for Networks of Structured Grids
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Large-scale performance of a DSL-based multi-block structured-mesh application for Direct Numerical Simulation
inferred← citeshttps://doi.org/10.1080/10618562.2016.1243663openalex-snapshot
Block-structured compressible Navier–Stokes solution using the OPS high-level abstraction
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