Performance aware shared memory hierarchy model for multicore processors

Despite the fact that multicore processors have a better instruction execution speed and lower power consumption, they also encounter a set of design challenges. The appearance of multicore and many core architectures has raised the problem of managing shared hierarchical memory systems. The main fo...

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Published in:	Scientific reports Vol. 13; no. 1; pp. 7313 - 11
Main Authors:	Mohamed, Ahmed M., Mubark, Nada, Zagloul, Saad
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 05-05-2023 Nature Publishing Group Nature Portfolio
Subjects:	639/166 639/705 639/705/1041 639/705/117 Hierarchies Humanities and Social Sciences multidisciplinary Power consumption Science Science (multidisciplinary)
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Abstract	Despite the fact that multicore processors have a better instruction execution speed and lower power consumption, they also encounter a set of design challenges. The appearance of multicore and many core architectures has raised the problem of managing shared hierarchical memory systems. The main focus of this paper is to evaluate the behavior of shared hierarchical memory systems by modeling their response time analytically. Since the gap between the memory and processor speed increases rapidly, it gets more crucial to find an analytical model that includes the significant factors that affect the performance of hierarchical memory systems. The proposed model considers the interdependence between different memory layers and differentiates between the memory response time and memory system time. Moreover, the model evaluates the effect of memory hierarchy on the variance of the memory access time. The existence of a large variance can lead to extremely long wait queues which can dramatically affect the performance of multicore processors
AbstractList	Despite the fact that multicore processors have a better instruction execution speed and lower power consumption, they also encounter a set of design challenges. The appearance of multicore and many core architectures has raised the problem of managing shared hierarchical memory systems. The main focus of this paper is to evaluate the behavior of shared hierarchical memory systems by modeling their response time analytically. Since the gap between the memory and processor speed increases rapidly, it gets more crucial to find an analytical model that includes the significant factors that affect the performance of hierarchical memory systems. The proposed model considers the interdependence between different memory layers and differentiates between the memory response time and memory system time. Moreover, the model evaluates the effect of memory hierarchy on the variance of the memory access time. The existence of a large variance can lead to extremely long wait queues which can dramatically affect the performance of multicore processors Despite the fact that multicore processors have a better instruction execution speed and lower power consumption, they also encounter a set of design challenges. The appearance of multicore and many core architectures has raised the problem of managing shared hierarchical memory systems. The main focus of this paper is to evaluate the behavior of shared hierarchical memory systems by modeling their response time analytically. Since the gap between the memory and processor speed increases rapidly, it gets more crucial to find an analytical model that includes the significant factors that affect the performance of hierarchical memory systems. The proposed model considers the interdependence between different memory layers and differentiates between the memory response time and memory system time. Moreover, the model evaluates the effect of memory hierarchy on the variance of the memory access time. The existence of a large variance can lead to extremely long wait queues which can dramatically affect the performance of multicore processors. Abstract Despite the fact that multicore processors have a better instruction execution speed and lower power consumption, they also encounter a set of design challenges. The appearance of multicore and many core architectures has raised the problem of managing shared hierarchical memory systems. The main focus of this paper is to evaluate the behavior of shared hierarchical memory systems by modeling their response time analytically. Since the gap between the memory and processor speed increases rapidly, it gets more crucial to find an analytical model that includes the significant factors that affect the performance of hierarchical memory systems. The proposed model considers the interdependence between different memory layers and differentiates between the memory response time and memory system time. Moreover, the model evaluates the effect of memory hierarchy on the variance of the memory access time. The existence of a large variance can lead to extremely long wait queues which can dramatically affect the performance of multicore processors Despite the fact that multicore processors have a better instruction execution speed and lower power consumption, they also encounter a set of design challenges. The appearance of multicore and many core architectures has raised the problem of managing shared hierarchical memory systems. The main focus of this paper is to evaluate the behavior of shared hierarchical memory systems by modeling their response time analytically. Since the gap between the memory and processor speed increases rapidly, it gets more crucial to find an analytical model that includes the significant factors that affect the performance of hierarchical memory systems. The proposed model considers the interdependence between different memory layers and differentiates between the memory response time and memory system time. Moreover, the model evaluates the effect of memory hierarchy on the variance of the memory access time. The existence of a large variance can lead to extremely long wait queues which can dramatically affect the performance of multicore processors.Despite the fact that multicore processors have a better instruction execution speed and lower power consumption, they also encounter a set of design challenges. The appearance of multicore and many core architectures has raised the problem of managing shared hierarchical memory systems. The main focus of this paper is to evaluate the behavior of shared hierarchical memory systems by modeling their response time analytically. Since the gap between the memory and processor speed increases rapidly, it gets more crucial to find an analytical model that includes the significant factors that affect the performance of hierarchical memory systems. The proposed model considers the interdependence between different memory layers and differentiates between the memory response time and memory system time. Moreover, the model evaluates the effect of memory hierarchy on the variance of the memory access time. The existence of a large variance can lead to extremely long wait queues which can dramatically affect the performance of multicore processors.
ArticleNumber	7313
Author	Mohamed, Ahmed M. Mubark, Nada Zagloul, Saad
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Snippet	Despite the fact that multicore processors have a better instruction execution speed and lower power consumption, they also encounter a set of design... Abstract Despite the fact that multicore processors have a better instruction execution speed and lower power consumption, they also encounter a set of design...
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Title	Performance aware shared memory hierarchy model for multicore processors
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