Dataset supporting the paper entitled "Hardware-Validated CPU Performance and Energy Modelling"
Dataset supporting the paper entitled "Hardware-Validated CPU Performance and Energy Modelling"
This dataset supports the paper entitled "Hardware-Validated CPU Performance and Energy Modelling" accepted for publication.
University of Southampton
Walker, Matthew
77e58c74-1541-4ffc-9219-4c8c11248a2e
Bischoff, Sascha
76148b3e-fd73-43b7-be06-eb67ab3e90df
Diestelhorst, Stephan
25c84549-1e7e-4183-85f5-d9f0944fe752
Merrett, Geoff
89b3a696-41de-44c3-89aa-b0aa29f54020
Al-Hashimi, Bashir
0b29c671-a6d2-459c-af68-c4614dce3b5d
Walker, Matthew
77e58c74-1541-4ffc-9219-4c8c11248a2e
Bischoff, Sascha
76148b3e-fd73-43b7-be06-eb67ab3e90df
Diestelhorst, Stephan
25c84549-1e7e-4183-85f5-d9f0944fe752
Merrett, Geoff
89b3a696-41de-44c3-89aa-b0aa29f54020
Al-Hashimi, Bashir
0b29c671-a6d2-459c-af68-c4614dce3b5d
Walker, Matthew
(2018)
Dataset supporting the paper entitled "Hardware-Validated CPU Performance and Energy Modelling".
University of Southampton
doi:10.5258/SOTON/D0420
[Dataset]
Abstract
This dataset supports the paper entitled "Hardware-Validated CPU Performance and Energy Modelling" accepted for publication.
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fig_03_results.csv_clustering_wl_w_errors_ordered_by_cluster.csv
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fig_04_memory_latency_stride_256.csv
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fig_05_results.csv_cluster_corr_and_cluster.csv_corr_and_HCA_hw_corr_and_cluster.csv
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fig_06_results.csv_normalised_pmcs_clustered_T.csv
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fig_07_result_sub_02.csv_per_cluster.csv_power_analysis_per_cluster.csv
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fig_08_cross_freq_result.csv
- Dataset
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More information
Published date: 18 March 2018
Organisations:
Electronics & Computer Science, Cyber Physical Systems, Faculty of Physical Sciences and Engineering
Identifiers
Local EPrints ID: 419104
URI: http://eprints.soton.ac.uk/id/eprint/419104
PURE UUID: 4f3b24df-2d44-448d-bcbb-33bfcee11b3e
Catalogue record
Date deposited: 29 Mar 2018 16:31
Last modified: 21 Feb 2024 02:41
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Contributors
Creator:
Matthew Walker
Contributor:
Sascha Bischoff
Contributor:
Stephan Diestelhorst
Research team head:
Geoff Merrett
Research team head:
Bashir Al-Hashimi
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