Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Simhadri, Vineeth; Preetham Noel, P.; Jayapandian, Natarajan Title A name given to the resource Performance Evaluation of CPU and GPU Processors Using Advanced Data Analysis Techniques Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Lecture Notes in Electrical Engineering;Volume;1420 LNEE;pp.63-74 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-96-6406-1_6" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-96-6406-1_6</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105019642095?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105019642095?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Simhadri V., Department of Computer Science and Engineering, Christ University, Bangalore, India; Preetham Noel P., Department of Computer Science and Engineering, Christ University, Bangalore, India; Jayapandian N., Department of Computer Science and Engineering, Christ University, Bangalore, India Description An account of the resource The modern industry is developing advanced CPU and GPU processors. The standard efficiency difference between the Intel Core i5 and 11th Gen with Nvidia GTX3050 processors is being discussed in this article. However, the reduction factor between these processors is determined to be as 2.5. Various data visualization techniques were applied to give a comprehensive analysis of the performance of CPU and GPU-based processors for execution of intensive tasks. The results were analyzed to understand the various performance parameters related to their functioning and efficiency. A model was proposed for enhancing the performance and throughput of the processor by easing the internal communication process between the CPU and the GPU by converting from electrical signals to light signals, though being faced with many challenges in the current time, holds a large scope of further research in the pursuit of higher computational efficiency. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. Subject The topic of the resource Asymmetric multicore processors; Graphing processing unit; Heterogeneous computing systems; Processing units; Simultaneous multithreading Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 18761100; ISBN: 978-981966405-4; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online