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Common to both generation techniques is the RT System Analyzer, which identifies the real-time tasks and extracts temporal scope information, e.g., release pattern, relative release point, and deadline, or, in case method level execution time analysis is specified, identification of this method information.
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Our approach consists of two techniques: (1) analytical model of on-chip crossbar-based communication architectures and (2) enumeration of task-level execution time variations for a target application.
As the BP-MF receiver operates at symbol level, its execution time is roughly independent of the payload size and, therefore, we conclude that the per-bit computational complexity is linear in the payload size plus some offset.
Even though this type of optimizations is not critical in superscalar processors that defer the extraction of instruction-level parallelism to execution time, it becomes crucial for VLIW architectures, even more for algorithms heavily based on loops as McGM.
We then evaluate the interaction of PCDM with a real SMT-based SMP system, using both high-level metrics, such as execution time, and low-level information from hardware performance counters.
At system level, these gains reduce the execution time of the benchmarks considered.
Our results show that for reasonable queue sizes the compiler generates a code that is comparable to the code generated for infinite resources in terms of instruction count, static execution time, and instruction level parallelism.
The balancing of tasks in the MB level is performed by determining the execution time of each function dynamically using the profiling.
Given it's rapid execution time, and high levels of classification efficiency, INDUS is expected to be of immense interest to researchers working in metagenomics and microbial ecology.
In addition, this model allows execution time analysis on method level.
Indeed, a high number of evaluated levels per negative example will bring a high execution time.
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