About: An Optimizing Multi-platform Source-to-source Compiler Framework for the NEURON MODeling Language

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	An Optimizing Multi-platform Source-to-source Compiler Framework for the NEURON MODeling Language
Creator	Blanco, Jorge King, James Keegan, Liam Awile, Omar Hines, Michael Kumbhar, Pramod Schürmann, Felix
Source	PMC
abstract	Domain-specific languages (DSLs) play an increasingly important role in the generation of high performing software. They allow the user to exploit domain knowledge for the generation of more efficient code on target architectures. Here, we describe a new code generation framework (NMODL) for an existing DSL in the NEURON framework, a widely used software for massively parallel simulation of biophysically detailed brain tissue models. Existing NMODL DSL transpilers lack either essential features to generate optimized code or capability to parse the diversity of existing models in the user community. Our NMODL framework has been tested against a large number of previously published user models and offers high-level domain-specific optimizations and symbolic algebraic simplifications before target code generation. NMODL implements multiple SIMD and SPMD targets optimized for modern hardware. When comparing NMODL-generated kernels with NEURON we observe a speedup of up to 20[Formula: see text], resulting in overall speedups of two different production simulations by [Formula: see text]. When compared to SIMD optimized kernels that heavily relied on auto-vectorization by the compiler still a speedup of up to [Formula: see text] is observed.
has issue date	2020-05-26(xsd:dateTime)
bibo:doi	10.1007/978-3-030-50371-0_4
has license	no-cc
sha1sum (hex)	09a07c36000957b70a929ada1ea99fe2df10129e
schema:url	https://doi.org/10.1007/978-3-030-50371-0_4
resource representing a document's title	An Optimizing Multi-platform Source-to-source Compiler Framework for the NEURON MODeling Language
has PubMed Central identifier	PMC7302241
schema:publication	Computational Science - ICCS 2020
resource representing a document's body	covid:09a07c36000957b70a929ada1ea99fe2df10129e#body_text
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