Data-access delay, not the processor speed, becomes the leading performance bottleneck of high-performance computing.
However, as illustrated in Figure 1, there are typical multiple cells in practical systems and the intercell interference incurs substantial performance degradation, thus being the bottleneck of system performance.
A comprehensive analysis of the coupled chemo-enzymatic reactions revealed pronounced inhibition of hUGDH by NADH and UDP-xylose as well as an adequate oxygen supply for PQ re-oxidation as major bottlenecks of effective performance of the overall multi-step reaction system.
However, the common control channel would become a bottleneck of the overall performance.
Scientific computing in complex product engineering design process has the characteristics of being tentative and iterative, which produces large scale intermediate data with heterogeneous formats and complex relationships, and the efficient organization and management of data becomes a bottleneck of product design performance.
With respect to the large volume content, the storage space of relay vehicles is becoming the bottleneck of achieving higher performance, e.g., a data chunk may be rejected or dropped due to insufficient storage of intermediate vehicles.
From this, we develop a general model capable of identifying bottleneck performance of a system's memory hierarchy in irregular applications.
To test the effect of alleviating this bottleneck on the performance of the entire clostridial butanol biosynthesis pathways, pool sizes in a third set of strains was analyzed.
During the simulations, we noted that this output stage is the bottleneck of the overall performances of the system, so we developed three architectures for it: 1) The first approach consists, as shown in Fig. 10, of two shift registers, the first of 16 bits and the second of 8.
Our results demonstrate a powerful strategy for applying systems biology methods to rapidly identify metabolic engineering targets and overcome bottlenecks in performance of engineered strains.
However, computing the euclidean distance between many 9216 dimension pool5 feature vectors may become a computationally intensive operation and a bottleneck of the real-time performance.
