Geometric Algebra Algorithm Code Optimised by GAALOP Executing on a Simulated Memristor Crossbar Array

Hildenbrand, D; Saribatir, E; Piña, AM; Lopes, WB; Wegner, FV; Storey, P; Yan, Z; Wen, S; Arnold, M

Geometric Algebra Algorithm Code Optimised by GAALOP Executing on a Simulated Memristor Crossbar Array

Hildenbrand, D Saribatir, E Piña, AM Lopes, WB Wegner, FV Storey, P Yan, Z Wen, S

Arnold, M

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Publisher:: Springer Nature
Publication Type:: Chapter
Citation:: Advanced Computational Applications of Geometric Algebra, 2024, 445, pp. 245-257
Issue Date:: 2024-01-01

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Field	Value	Language
dc.contributor.author	Hildenbrand, D
dc.contributor.author	Saribatir, E
dc.contributor.author	Piña, AM
dc.contributor.author	Lopes, WB
dc.contributor.author	Wegner, FV
dc.contributor.author	Storey, P
dc.contributor.author	Yan, Z
dc.contributor.author	Wen, S https://orcid.org/0000-0001-8077-7001
dc.contributor.author	Arnold, M https://orcid.org/0000-0003-4164-0242
dc.date.accessioned	2024-08-08T04:41:52Z
dc.date.available	2024-08-08T04:41:52Z
dc.date.issued	2024-01-01
dc.identifier.citation	Advanced Computational Applications of Geometric Algebra, 2024, 445, pp. 245-257
dc.identifier.isbn	9783031559846
dc.identifier.uri	http://hdl.handle.net/10453/180372
dc.description.abstract	GAALOP (Geometric Algebra ALgorithms OPtimizer) is software designed to optimize the execution of multiple steps in a Geometric Algebra algorithm by analysing the steps as a whole and precompiling the intermediate code generated. The output is provided in a format that allows it to target popular software languages and systems such as C++, Python, Java, MATLAB, Mathematica and parallel platforms such as OpenCL, CUDA, FPGA and many more.We present a method of executing Geometric Algebra algorithms using simulated memristor crossbar arrays to perform dot product calculations.
dc.language	en
dc.publisher	Springer Nature
dc.relation.ispartof	Advanced Computational Applications of Geometric Algebra
dc.relation.ispartofseries	Springer Proceedings in Mathematics & Statistics
dc.relation.isbasedon	10.1007/978-3-031-55985-3_11
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.title	Geometric Algebra Algorithm Code Optimised by GAALOP Executing on a Simulated Memristor Crossbar Array
dc.type	Chapter
utslib.citation.volume	445
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Science
pubs.organisational-group	University of Technology Sydney/Faculty of Science/School of Mathematical and Physical Sciences
pubs.organisational-group	University of Technology Sydney/Strength - AAII - Australian Artificial Intelligence Institute
pubs.organisational-group	University of Technology Sydney/All Manual Groups
pubs.organisational-group	University of Technology Sydney/All Manual Groups/Australian Artificial Intelligence Institute (AAII)
utslib.copyright.status	recently_added	*
dc.date.updated	2024-08-08T04:41:50Z
pubs.publication-status	Published
pubs.volume	445

Abstract:

GAALOP (Geometric Algebra ALgorithms OPtimizer) is software designed to optimize the execution of multiple steps in a Geometric Algebra algorithm by analysing the steps as a whole and precompiling the intermediate code generated. The output is provided in a format that allows it to target popular software languages and systems such as C++, Python, Java, MATLAB, Mathematica and parallel platforms such as OpenCL, CUDA, FPGA and many more.We present a method of executing Geometric Algebra algorithms using simulated memristor crossbar arrays to perform dot product calculations.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/180372