Parallel Sorting Dataset V2024

Texas Digital Library (University of Texas) 2026 Dataset Open access

Read full text
Authors: Michael McKinsey
DOI: 10.18738/t8/rogkam
Cited by: 0

Abstract

Performance analysis research of parallel sorting algorithms performance. Files are Caliper performance profiles (https://software.llnl.gov/Caliper/), which can be read with the performance analysis tool Thicket (see example https://github.com/LLNL/thicket-tutorial). Files are used for machine learning classification of the parallel sorting algorithm class using the performance data. Data used in "Parallel sorting algorithm classification: is manual instrumentation necessary?" McKinsey et al.

Fields of Study & Subjects

Parallel Computing and Optimization Techniques Software System Performance and Reliability Advanced Database Systems and Queries

Publication details

Journal / source
Texas Digital Library (University of Texas)
Publication date
10 February 2026
Language
EN
Document type
Dataset