With the rapid development of integrated circuit manufacturing processes, soft errors have emerged as a pivotal factor that influences circuit reliability. This paper endeavors to investigate the rapid estimation of t...
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ISBN:
(数字)9798350352030
ISBN:
(纸本)9798350352047
With the rapid development of integrated circuit manufacturing processes, soft errors have emerged as a pivotal factor that influences circuit reliability. This paper endeavors to investigate the rapid estimation of the impact of the single event upset (SEU) on the logic behaviors of flip-flops in a circuit using machine learning methods. A major challenge currently faced when applying machine learning methods for SEU evaluation is the absence of publicly available circuit datasets. Therefore, this paper employs the fault injection method to acquire circuit data such as soft error sensitivity. Subsequently, it models the gate-level netlist and integrates the netlist models with the acquired data to construct a dataset. Finally, a model based on graph at-tention network (GAT) is developed and we use the leave-one-out cross validation method to evaluate the performance. Compared to neural network methods skilled at handling structured data, the experimental results indicate that the method proposed in this paper has better predictive performance. It achieves an average absolute error of 0.064, representing a 43.46 % improvement over the baseline.
Coarse-grained Reconfigurable Array (CGRA) is suitable candidate hardware architecture for many computation-intensive applications due to its flexibility and efficiency. In current CGRA architecture, each Processing E...
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Coarse-grained Reconfigurable Array(CGRA) is suitable candidate hardware architecture for many computation-intensive applications due to its flexibility and efficiency. In current CGRA architecture, each Processing El...
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Coarse-grained Reconfigurable Array(CGRA) is suitable candidate hardware architecture for many computation-intensive applications due to its flexibility and efficiency. In current CGRA architecture, each Processing Element(PE) in CGRA performs one operation or transfers data onto neighbors per *** this paper, a dual-issue scheme is proposed to execute Data Acyclic Graph(DAG). Two operations with mutual precedents can be executed at the same cycle in the PE in the proposed design to improve efficiency. Since some hardware is shared by operations, the overhead can be lowered. We also proposed an ant colony based algorithm for mapping DAG to dual-issue CGRA. Experimental results demonstrate that dual-issue CGRA consumes 5.24% less hardware resource while the performance of some DAG improved 2.6%.
In this paper, we propose an efficient parallel SURF algorithm for multi-core processor, which adopts data-level parallel method to implement parallel keypoints extraction and matching. The computing tasks are assigne...
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Coarse-grained reconfigurable array (CGRA) is a competitive hardware platform for computation intensive tasks in many application domains. The performance of CGRA heavily depends on the mapping algorithm which exploit...
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Coarse-grained reconfigurable array (CGRA) is a competitive hardware platform for computation intensive tasks in many application domains. The performance of CGRA heavily depends on the mapping algorithm which exploit...
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Coarse grained reconfigurable array(CGRA) is an architecture which offers hardware like high performance and software like *** two characteristics make CGRA an effective candidate for computational intensive *** this ...
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Coarse grained reconfigurable array(CGRA) is an architecture which offers hardware like high performance and software like *** two characteristics make CGRA an effective candidate for computational intensive *** this paper,a novel cluster-base CGRA architecture is *** composed of a number of reconfigurable clusters which consist of generic processing elements and shared processing *** to the resource sharing and local connectivity,cluster-based CGRA achieves better resource utilization and higher efficiency compared to conventional *** is reduced and the performance can be *** showed that the proposed cluster-base CGRA outperforms some existing architectures.
Coarse-grained reconfigurable array (CGRA) architecture has become popular because of its performance and flexibility. The efficiency of CGRA relies on an efficient application mapping algorithm to exploit parallelism...
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ISBN:
(纸本)9781479913275
Coarse-grained reconfigurable array (CGRA) architecture has become popular because of its performance and flexibility. The efficiency of CGRA relies on an efficient application mapping algorithm to exploit parallelisms. In this paper, we formalized the temporal mapping problem and proposed the min-max ant colony system (MMAS) algorithm for CGRA mapping. Further optimization of MMAS is studied to reduce mapping time while maintaining the quality of solutions. Comparisons with other heuristic algorithms show that our approach obtains better results in less mapping time.
The accurate and timely spectrum sensing ability is very critical to cognitive radio. Cyclostationary feature detection has the ability to separate the signal of interest from noise and/or interference, but the comput...
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