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Memory usage measures the maximum memory consumption of an application during its runtime.
For example, replicating communication and computation to achieve availability, or including a shadow removal component to achieve high accuracy for event recognition, might conflict with performance requirements (e.g., low response time) or resource restrictions (e.g., maximum memory consumption).
Limiting voice-tags to two or three dozen in this scenario may no longer be practical, though extending the number significantly in a traditional HMM-based voice-tag application could easily surpass the maximum memory consumption threshold for low-tier embedded platforms.
Because Pindel processes one chromosome at a time, the maximum memory consumption is well controlled.
The maximum memory consumption of Minia and Sparse for any dataset did not exceed 1% and 6%, respectively, of the maximum memory consumption of SPAdes for the same dataset.
For these networks, the execution time and maximum memory consumption of the WW algorithm are both smaller by multiple factors.
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The running time is the total time taken by the assembler to complete the assembly process for a given dataset, whereas memory consumption is the maximum amount of memory used during the entire execution period.
Special caution must be taken at this stage with memory consumption, as it reaches the maximum memory requirements of the McGM algorithm.
The memory consumption increased at the start of the program execution, and was stable during the whole filtering, reaching a maximum value of 4,850kB (as measured by the maximum resident set size, see Additional file 2).
usage, memory consumption and network traffic.
For instance, the SQL Server Express SKUs have significant limits on processor and memory consumption.
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