{"id":28624,"date":"2024-06-23T12:40:49","date_gmt":"2024-06-23T12:40:49","guid":{"rendered":"https:\/\/www.writemyessays.app\/blog\/questions\/dynamic-optimization-of-heterogeneous-computing-systems-a-survey-on-real-time-parameter-tuning\/"},"modified":"2024-06-23T12:40:49","modified_gmt":"2024-06-23T12:40:49","slug":"dynamic-optimization-of-heterogeneous-computing-systems-a-survey-on-real-time-parameter-tuning","status":"publish","type":"questions","link":"https:\/\/www.writemyessays.app\/blog\/questions\/dynamic-optimization-of-heterogeneous-computing-systems-a-survey-on-real-time-parameter-tuning\/","title":{"rendered":"Dynamic Optimization of Heterogeneous Computing Systems: A Survey on Real-Time Parameter Tuning"},"content":{"rendered":"<p><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\">Abstract<\/span><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\">\u2014Heterogeneous computing Systems-on-Chip (SoCs)<\/span><br style=\"cursor: auto; color: inherit;\"><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\">have emerged as powerful platforms integrating diverse process-<\/span><br style=\"cursor: auto; color: inherit;\"><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\">ing units such as CPUs, GPUs, and FPGAs to enhance com-<\/span><br style=\"cursor: auto; color: inherit;\"><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\">putational capabilities and efficiency. However, the complexity<\/span><br style=\"cursor: auto; color: inherit;\"><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\">of<\/span><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\"> <\/span><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\">managing<\/span><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\"> <\/span><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\">these<\/span><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\"> <\/span><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\">resources<\/span><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\"> <\/span><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\">necessitates<\/span><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\"> <\/span><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\">advanced<\/span><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\"> <\/span><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\">optimiza-<\/span><br style=\"cursor: auto; color: inherit;\"><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\">tion techniques, particularly with runtime parameter adaptation<\/span><br style=\"cursor: auto; color: inherit;\"><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\">to handle dynamic workloads and resource availability. This<\/span><br style=\"cursor: auto; color: inherit;\"><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\">survey comprehensively reviews the state-of-the-art methods in<\/span><br style=\"cursor: auto; color: inherit;\"><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\">optimizing heterogeneous computational resources through real-<\/span><br style=\"cursor: auto; color: inherit;\"><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\">time parameter tuning. This survey is structured to cover key<\/span><br style=\"cursor: auto; color: inherit;\"><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\">themes including power management, energy efficiency, system-<\/span><br style=\"cursor: auto; color: inherit;\"><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\">level optimization, and performance improvement. Each section<\/span><br style=\"cursor: auto; color: inherit;\"><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\">discusses various methodologies, highlighting their strengths and<\/span><br style=\"cursor: auto; color: inherit;\"><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\">weaknesses. Our critical analysis identifies current gaps in the<\/span><br style=\"cursor: auto; color: inherit;\"><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\">literature and suggests potential research directions. We empha-<\/span><br style=\"cursor: auto; color: inherit;\"><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\">size the integration of evolutionary algorithms with reinforcement<\/span><br style=\"cursor: auto; color: inherit;\"><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\">learning (ERL) as a promising approach to dynamically adapt<\/span><br style=\"cursor: auto; color: inherit;\"><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\">system parameters, thereby achieving optimal resource utilization<\/span><br style=\"cursor: auto; color: inherit;\"><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\">and performance. Key contributions of this survey include: A<\/span><br style=\"cursor: auto; color: inherit;\"><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\">comprehensive review of dynamic power management techniques<\/span><br style=\"cursor: auto; color: inherit;\"><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\">and AI-based solutions for heterogeneous SoCs. In-depth analysis<\/span><br style=\"cursor: auto; color: inherit;\"><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\">of<\/span><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\"> <\/span><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\">energy<\/span><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\"> <\/span><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\">efficiency<\/span><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\"> <\/span><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\">strategies<\/span><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\"> <\/span><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\">and<\/span><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\"> <\/span><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\">their<\/span><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\"> <\/span><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\">impact<\/span><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\"> <\/span><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\">on<\/span><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\"> <\/span><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\">system<\/span><br style=\"cursor: auto; color: inherit;\"><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\">performance. Detailed examination of system-level optimization<\/span><br style=\"cursor: auto; color: inherit;\"><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\">methods, including collaborative scheduling and edge computing<\/span><br style=\"cursor: auto; color: inherit;\"><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\">frameworks. Evaluation of performance improvement techniques<\/span><br style=\"cursor: auto; color: inherit;\"><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\">and their implications on computational efficiency. Identification<\/span><br style=\"cursor: auto; color: inherit;\"><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\">of open challenges and future research directions in the field of<\/span><br style=\"cursor: auto; color: inherit;\"><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\">computational resource optimization. This survey aims to provide<\/span><br style=\"cursor: auto; color: inherit;\"><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\">researchers and practitioners with a holistic understanding of<\/span><br style=\"cursor: auto; color: inherit;\"><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\">the current landscape and future prospects in optimizing hetero-<\/span><br style=\"cursor: auto; color: inherit;\"><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\">geneous computational resources through real-time parameter<\/span><br style=\"cursor: auto; color: inherit;\"><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\">tuning.<\/span><br style=\"cursor: auto; color: inherit;\"><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\">Index Terms<\/span><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\">\u2014Heterogeneous Computing, Systems-on-Chips,<\/span><br style=\"cursor: auto; color: inherit;\"><span style=\"font-size: 17.1123px; cursor: auto; color: inherit;\">Optimization, CPU, GPU, FPGA<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Abstract\u2014Heterogeneous computing Systems-on-Chip (SoCs)have emerged as powerful platforms integrating diverse process-ing units such as CPUs, GPUs, and FPGAs to enhance com-putational capabilities and efficiency. However, the complexityof managing these resources necessitates advanced optimiza-tion techniques, particularly with runtime parameter adaptationto handle dynamic workloads and resource availability. Thissurvey comprehensively reviews the state-of-the-art methods inoptimizing heterogeneous computational resources [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","meta":[],"disciplines":[63],"paper_types":[],"tagged":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/www.writemyessays.app\/blog\/wp-json\/wp\/v2\/questions\/28624"}],"collection":[{"href":"https:\/\/www.writemyessays.app\/blog\/wp-json\/wp\/v2\/questions"}],"about":[{"href":"https:\/\/www.writemyessays.app\/blog\/wp-json\/wp\/v2\/types\/questions"}],"author":[{"embeddable":true,"href":"https:\/\/www.writemyessays.app\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.writemyessays.app\/blog\/wp-json\/wp\/v2\/comments?post=28624"}],"version-history":[{"count":0,"href":"https:\/\/www.writemyessays.app\/blog\/wp-json\/wp\/v2\/questions\/28624\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.writemyessays.app\/blog\/wp-json\/wp\/v2\/media?parent=28624"}],"wp:term":[{"taxonomy":"disciplines","embeddable":true,"href":"https:\/\/www.writemyessays.app\/blog\/wp-json\/wp\/v2\/disciplines?post=28624"},{"taxonomy":"paper_types","embeddable":true,"href":"https:\/\/www.writemyessays.app\/blog\/wp-json\/wp\/v2\/paper_types?post=28624"},{"taxonomy":"tagged","embeddable":true,"href":"https:\/\/www.writemyessays.app\/blog\/wp-json\/wp\/v2\/tagged?post=28624"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}