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Data · dataset · 2025

Replication data for: Deep learning compilers for signal processing Kernel generation

Listed in REDU - Unicamp Institutional Research Data Repository

Execution scripts and artifacts necessary to reproduce experiments from the Master's dissertation entitled "Deep Learning Compilers for Signal Processing Kernel Generation".

Description

The scripts are a mixture of Python and Bash scripts, while the generated artifacts consists of search logs and object files generated by Apache TVM's Ansor seach, CSVs containing the execution time logs, and data slices from the Parihaka-3D seismic volume.

Source code is also available at github.com/discovery-unicamp/ml-compilers-exps.

Links

Where it is published

Catalogue records · 1

Topics

Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
REDU - Unicamp Institutional Research Data Repositorydoi:10.25824/redu/CQHORH5 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:field:460607mapping · redu unicamp brvocabulary-mapper@1.0.0keywords['High performance computing']
concepts[field].dataverse_subject:computer-and-information-sciencesource · redu unicamp brconnector:redu_unicamp_br@1.0.0/subjects
created_datesource · redu unicamp brconnector:redu_unicamp_br@1.0.0
descriptionsource · redu unicamp brconnector:redu_unicamp_br@1.0.0/description
publication_datesource · redu unicamp brconnector:redu_unicamp_br@1.0.0
titlesource · redu unicamp brconnector:redu_unicamp_br@1.0.0/name
updated_datesource · redu unicamp brconnector:redu_unicamp_br@1.0.0
version_labelsource · redu unicamp brconnector:redu_unicamp_br@1.0.0