The early-start clustering stage is used to cluster tasks while preserving the earliest start time of a task without limiting parallelism.
The control operations often limit the parallelism, however, because of the dependency among the codes and data; alternatively, the SRP often suffers from the lack of data that is processed in parallel in the SIMD mode.
Current state-of-the-art data-parallel processing methods for decoding image and video bitstreams are limited in parallelism by dependencies introduced by the coding tools and the number of synchronization points introduced by these dependencies, only allowing task or coarse-grain data parallelism.
Although Intel platforms comprise an issue width of 4 and 4 × 16-bit data SIMD instructions, the inefficiency of the dynamic scheduling and a lower memory bandwidth limit exploit the parallelism of the proposed algorithm; that is, the parallelism of the proposed algorithm can also work for Intel platforms.
Unfortunately, however, current DPI systems severely limit their use of parallelism by either resorting to coarse-grained load-balancing or restricting their analysis to very simple, hard-coded detectors.
There will be questions as to any inter-manufacturer collusion or even conscious parallelism to limit open competition by deceiving, misleading, or defrauding others of their legal rights.
Therefore, although powerful and easy to use, the performance benefits of exploiting fine-grained (pico) task parallelism are limited by the software runtime overheads.
Achieving massive parallelism is limited by available resources; therefore, the proposed architectural design implements a segmentation strategy that partitions the entire decentralized population while maintaining original algorithmic interaction among solutions.
Although the method described in Section 2.3 can parallelize the A* search algorithm, the scale of the parallelism is still limited.
Nevertheless the parallelism degree is limited by the code structure and the decoding algorithm.
