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
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 ...
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...
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 ...
In Sandia’s preliminary evaluation of naive RAG, a variety of metrics including BLEU, ChrF, METEOR, and ROUGE-L were used to assess the effectiveness of the generated code against standard benchmarks provided by Sandia Kokkos developers. Encouragingly, initial results revealed ...
Due to programming difficulty, parallel algorithms are commonly compared with different levels of programming effort. They are also compared on different architectures. In this paper, the ''fairness'' of parallel performance metrics is studied. Theoretica ...X. H. S. Sun J. L. Gustafson...
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...
Accelerate code by automatically running computation in parallel using Parallel Computing Toolbox™. Version HistoryIntroduced in R2009a expand all R2022a: Default Cost value has changed See Also rocmetrics | bootci | glmfit | fitmnr | classify | fitcnb | fitctree | fitrtree Topics ROC Curve ...
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...