Automatic Platform-Independent Monitoring and Ranking of Hardware Resource Utilization

The development of IC integration technologies leads to an extensive use of memories and buffers in different memory intensive applications. Therefore, probability of occurrence of fault in every single read and writes operation is increased in Memory BIST (MBIST). There were many testing approaches that were developed for efficient testing and diagnosis of fault. However, all algorithms are not strengthened enough to detect all possible faults that may be present due to fabrication errors or environmental disturbance. Keeping this in mind and taking the possibility of development of efficient algorithm a hybrid memory testing algorithm is presented. To overcome those drawbacks, pipelining based MBIST designed to detect the all the types of memory faults by utilizing March-C testing algorithm. By introducing the Pipelining approach, majorly path delays are reducing. The proposed architecture designed and verified using Xilinx ISE environment under various testing methods with respect to the different category of memories. The simulation and synthesis results shows that the proposed method shows the enhanced performance with the hardware resource utilization and delay consumption compared to the conventional approaches.

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Research on the Relationship of Approximate Computing Application Precision and Hardware Resource Utilization

DEStech Transactions on Computer Science and Engineering ◽

10.12783/dtcse/ceic2018/24529 ◽

2018 ◽

Author(s):

FENG-YU GUO ◽

XIAO-YING WANG

Keyword(s):

Resource Utilization ◽

Approximate Computing ◽

Hardware Resource ◽

Relationship Of ◽

The Relationship

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The Study of Pallet Pooling Information Platform Based on Cloud Computing

Scientific Programming ◽

10.1155/2018/5106392 ◽

2018 ◽

Vol 2018 ◽

pp. 1-5 ◽

Cited By ~ 3

Author(s):

Jia-bin Li ◽

Shi-wei He ◽

Wei-chuan Yin

Keyword(s):

Cloud Computing ◽

Resource Utilization ◽

Low Cost ◽

Cloud Services ◽

Computing Technology ◽

Computing Power ◽

Information Platform ◽

Effective Implementation ◽

Hardware Resource ◽

High Flexibility

Effective implementation of pallet pooling system needs a strong information platform to support. Through the analysis of existing pallet pooling information platform (PPIP), the paper pointed out that the existing studies of PPIP are mainly based on traditional IT infrastructures and technologies which have software, hardware, resource utilization, and process restrictions. Because of the advantages of cloud computing technology like strong computing power, high flexibility, and low cost which meet the requirements of the PPIP well, this paper gave a PPIP architecture of two parts based on cloud computing: the users client and the cloud services. The cloud services include three layers, which are IaaS, PaaS, and SaaS. The method of how to deploy PPIP based on cloud computing is proposed finally.

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