Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The continuance of Moore's law and failure of Dennard scaling force future chip multiprocessors (CMPs) to have considerable dark regions. How to use up available dark resources is an important concern for computer architects. In harmony with these changes,  must revise processor allocation schemes that severely affect the performance of a parallel on-chip system. A suitable allocation algorithm should reduce runtime and increase the por efficiency with proper thermal distribution to avoid hotspots. With this motivation, this paper proposes a por-efficient and high performance general purpose infrastructure for which a Dark Silicon Aware Processor Allocation (DSAPA) scheme is proposed which targets future many-core systems. To obtain high performance,  suggest a tunable-clustered mesh with the capability of sharing NoC resources in each cluster.  also employ a buffer-level por gating technique is used to improve por efficiency. Evaluation results reveal that the maximum achieved performance and por consumption improvements are 38.7% and 29.4% for multi-threaded workloads over the equivalent conventional design.
['Fatemeh Aghaaliakbari', 'Mohaddeseh Hoveida', 'Mohammad Arjomand', 'Majid Jalili', 'Hamid Sarbazi-Azad']
I am writing a research paper on a idea Efficient processor allocation in a reconfigurable CMP architecture for dark silicon era
[{"from": "human", "value": "I am writing a research paper on a idea Efficient processor allocation in a reconfigurable CMP architecture for dark silicon era"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The continuance of Moore's law and failure of Dennard scaling force future chip multiprocessors (CMPs) to have considerable dark regions. How to use up available dark resources is an important concern for computer architects. In harmony with these changes,  must revise processor allocation schemes that severely affect the performance of a parallel on-chip system. A suitable allocation algorithm should reduce runtime and increase the por efficiency with proper thermal distribution to avoid hotspots. With this motivation, this paper proposes a por-efficient and high performance general purpose infrastructure for which a Dark Silicon Aware Processor Allocation (DSAPA) scheme is proposed which targets future many-core systems. To obtain high performance,  suggest a tunable-clustered mesh with the capability of sharing NoC resources in each cluster.  also employ a buffer-level por gating technique is used to improve por efficiency. Evaluation results reveal that the maximum achieved performance and por consumption improvements are 38.7% and 29.4% for multi-threaded workloads over the equivalent conventional design."}]