Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Many Integrated Core (MIC) architecture systems are becoming increasingly popular for HPC applications as they have the dual-advantage of accelerating vector processing and a general-purpose programming model. One of the key challenges for energy-efficient execution on MIC architecture systems is to determine time and energy-efficient configurations among a large system configuration space. Given a parallel program with an execution time deadline and an energy budget,  propose a measurement-based analytical modeling approach to determine these system configurations. In contrast to current approaches,  model both inter-and intra-core resource overlaps, memory contention among threads within a core and memory contention across multiple cores. The model is validated against direct measurement using six representative HPC applications on Intel Xeon Phi system.  show that a Pareto frontier consisting of optimal configurations exist for a parallel program executing on MIC architecture systems. To further understand the Pareto frontier,  use the performance-to-por ratio metric (PPR), that quantifies the amount of useful computations performed per unit energy during the execution. The proposed approach can be used to determine what thread affinity is suitable for offloading execution to accelerators such as Xeon Phi and save energy.
['Lavanya Ramapantulu', 'Thy Dao', 'Dumitrel Loghin', 'Nam Thoai', 'Yong Meng Teo']
I am writing a research paper on a idea Modeling the Energy-Time Performance of MIC Architecture System
[{"from": "human", "value": "I am writing a research paper on a idea Modeling the Energy-Time Performance of MIC Architecture System"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Many Integrated Core (MIC) architecture systems are becoming increasingly popular for HPC applications as they have the dual-advantage of accelerating vector processing and a general-purpose programming model. One of the key challenges for energy-efficient execution on MIC architecture systems is to determine time and energy-efficient configurations among a large system configuration space. Given a parallel program with an execution time deadline and an energy budget,  propose a measurement-based analytical modeling approach to determine these system configurations. In contrast to current approaches,  model both inter-and intra-core resource overlaps, memory contention among threads within a core and memory contention across multiple cores. The model is validated against direct measurement using six representative HPC applications on Intel Xeon Phi system.  show that a Pareto frontier consisting of optimal configurations exist for a parallel program executing on MIC architecture systems. To further understand the Pareto frontier,  use the performance-to-por ratio metric (PPR), that quantifies the amount of useful computations performed per unit energy during the execution. The proposed approach can be used to determine what thread affinity is suitable for offloading execution to accelerators such as Xeon Phi and save energy."}]