This dataset supports the article entitled "Online Concurrent Workload Classification for Multi-core Energy Management" accepted for publication in ACM/IEEE Design Automation and Test in Europe (DATE), 2017. ============================================================================ Person responsible for collecting the data: Karunakar Reddy Basireddy, krb1g15@ecs.soton.ac.uk ============================================================================ Date of data collection: 25/08/2017 to 05/09/2017 ============================================================================ Licenses/restrictions placed on the data: CC-BY/Public - No restriction ============================================================================ Links to publications that cite or use the data: https://pure.soton.ac.uk/admin/editor/dk/atira/pure/api/shared/model/base_uk/researchoutput/editor/contributiontoconferenceeditor.xhtml?id=30853156 ============================================================================ Data Supporting Figures: Fig. 1 - Variation in MRPI for individual (left) and concurrent (right) execution of applications. Fig. 3 - Comparison of proposed approach with the existing approaches. (A) normalized energy consumption for single, double and triple application scenarios. (B) MRPI and frequency at different time intervals of the application scenario lb-mi. Fig. 4 - Workload prediction for the application scenario mi-mc. Fig. 5 - Runtime overhead of the proposed approach. ============================================================================