Typical code performance metrics such as the execution time and their acceleration are measured. Additionally, an energy consumption analysis is performed for the first time in the context of parallel computing for topology optimization, which is an important topic from large-scale supercomputers to ...
In the first part, we compare and analyze the performance of two widely used cluster-based big data analytics platforms (Apache Hadoop and Apache Spark) on the same benchmark dataset. The computational-based metrics include computation times, speedup, and scalability. The second part assessed the...
The development of parallel programming created the need of performance metrics and a software tool to evaluate the performance of a parallel algorithm in order to decide whether its use is convenient or not. Indeed, the focus of parallel computing is to solve large problems in a relatively ...
In this paper, the ''fairness'' of parallel performance metrics is studied. Theoretica ...X. H. S. Sun J. L. GustafsonAmes Lab.X-H. Sun and J. L. Gustafson. Towards a better Parallel Performance Metric. Parallel Computing, 17:1093-1109, 1991....
rocObj = rocmetrics(YTest,Scores,Mdl.ClassNames); rocObj is a rocmetrics object that stores the performance metrics for each class in the Metrics property. Compute the AUC values using the auc function. Get a = auc(rocObj) a = 1×2 0.8587 0.8587 For a binary classification problem,...
simulating to create a large number of deployments in parallel. Although there is a peak of the work queue. The length is more than 10, but it returns to normal soon, so it’s not a problem. More metric about work queue and others on kubernetes can be find inKubernetes Metrics ...
3.8. Parallel Performance Metrics Solution time and accuracy are the main measures of the success of the parallel algorithm. According to the Amhals law of strong scaling, there is an upper limit to the speedup achieved for a fixed-size problem. Dividing a specific fixed-size problem into more...
Code coverage statistics about the lines of code in the function that MATLAB executed while profiling. To perform additional code coverage analysis for your code, see Collect Statement and Function Coverage Metrics for MATLAB Source Code. Function listing Source code for the function, if it is a ...
4.2.3 Monitoring Parallel Execution The Parallel Execution charts show system metrics related to parallel queries. Metrics are statistical counts per unit. The unit could be a time measure, such as seconds, or per transaction, or session. A parallel query divides the work of executing a SQL sta...
8.A computer implemented method for outlier prediction of performance metrics in a performance manager deployed in a new computing environment, said method comprising:receiving an input data specifying a business vertical to which said new computing environment is directed, a first performance metric of...