On-Chip Sensor Network for Efficient Management of Power Gating-Induced Power/Ground Noise in Multiprocessor System on Chip

2013 ◽  
Vol 24 (4) ◽  
pp. 767-777 ◽  
Author(s):  
Weichen Liu ◽  
Yu Wang ◽  
Xuan Wang ◽  
Jiang Xu ◽  
Huazhong Yang
Keyword(s):  
Sensor Network ◽  
System On Chip ◽  
Multiprocessor System ◽  
Power Gating ◽  
Efficient Management ◽  
On Chip ◽  
Ground Noise

A high performance scalable fuzzy based modified Asymmetric Heterogene Multiprocessor System on Chip (AHt-MPSOC) reconfigurable architecture

2021 ◽  
pp. 1-12
Author(s):  
Arun Prasath Raveendran ◽  
Jafar A. Alzubi ◽  
Ramesh Sekaran ◽  
Manikandan Ramachandran
Keyword(s):  
High Performance ◽  
Standard Technique ◽  
System On Chip ◽  
Mixed Integer ◽  
Multiprocessor System ◽  
Compound System ◽  
Available Bandwidth ◽  
Mip Model ◽  
Fpga Chip ◽  
On Chip

This Ensuing generation of FPGA circuit tolerates the combination of lot of hard and soft cores as well as devoted accelerators on a chip. The Heterogene Multi-Processor System-on-Chip (Ht-MPSoC) architecture accomplishes the requirement of modern applications. A compound System on Chip (SoC) system designed for single FPGA chip, and that considered for the performance/power consumption ratio. In the existing method, a FPGA based Mixed Integer Programming (MIP) model used to define the Ht-MPSoC configuration by taking into consideration the sharing hardware accelerator between the cores. However, here, the sharing method differs from one processor to another based on FPGA architecture. Hence, high number of hardware resources on a single FPGA chip with low latency and power targeted. For this reason, a fuzzy based MIP and Graph theory based Traffic Estimator (GTE) are proposed system used to define New asymmetric multiprocessor heterogene framework on microprocessor (AHt-MPSoC) architecture. The bandwidths, energy consumption, wait and transmission range are better accomplished in this suggested technique than the standard technique and it is also implemented with a multi-task framework. The new Fuzzy control-based AHt-MPSoC analysis proves significant improvement of 14.7 percent in available bandwidth and 89.8 percent of energy minimized to various traffic scenarios as compared to conventional method.

scholarly journals Memory Map: A Multiprocessor Cache Simulator

2012 ◽  
Vol 2012 ◽  
pp. 1-12 ◽  
Author(s):  
Shaily Mittal ◽  
Nitin
Keyword(s):  
Shared Memory ◽  
Data Flow ◽  
Memory Systems ◽  
System On Chip ◽  
Multiprocessor System ◽  
Flow Management ◽  
Hit Rate ◽  
Multiple Processors ◽  
On Chip ◽  
Cache Miss

Nowadays, Multiprocessor System-on-Chip (MPSoC) architectures are mainly focused on by manufacturers to provide increased concurrency, instead of increased clock speed, for embedded systems. However, managing concurrency is a tough task. Hence, one major issue is to synchronize concurrent accesses to shared memory. An important characteristic of any system design process is memory configuration and data flow management. Although, it is very important to select a correct memory configuration, it might be equally imperative to choreograph the data flow between various levels of memory in an optimal manner. Memory map is a multiprocessor simulator to choreograph data flow in individual caches of multiple processors and shared memory systems. This simulator allows user to specify cache reconfigurations and number of processors within the application program and evaluates cache miss and hit rate for each configuration phase taking into account reconfiguration costs. The code is open source and in java.

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