Data-centric computing

DATA-CENTRIC COMPUTING FRAMEWORK FOR TRANSLATIONAL RESEARCH... 

The data-centric computing model allows the large volume of data or highly sensitive data to be kept at the source of collection and allows software to be launched on demand to a system of choice (see Figure 8.14). The self-adaptive... 

Figure 8.14 Conceptual architecture of data-centric computing framework...

So what is the solution If the mountain cannot go to Mohamed, Mohamed should go to the mountain. That is the data-centric computing approach. We leave the data where it is. Instead, we send the programs to go out and work on the data at their home site, where data are more secure, and to send back only the findings from the analysis, which are usually vastly smaller than the data. 

A nanostore is a single-chip computer that includes 3-D stacked layers of dense silicon non-volatile memory with a layer of compute cores and a network interface. A large number of individiral nanostores can cottununicate over a simple interconnect and run a data-parallel execution environment like MapReduce to support large-scale distributed data-centric workloads. The two most impor-... 

FIGURE 3 The combination of emerging data-centric workloads and upcoming non-volatile and other technologies offer the potential for a new architecture design— nanostores that co-locate power-efficient compute cores with non-volatile storage in the same package... 

Ranganathan, P. In press. From microprocessor to nanostores rethinking system building blocks for the data-centric era. IEEE Computer. 

The uranyl heavy atom parameters were then used to calculate Fj and Fj two sets of phases for the protein were calculated - one for each possible heavy atom enantiomorph - by the method of single isomorphous replacement with the inclusion of anomalous scattering data. The value of E" was initially calculated from the r.m.s. error in the least squares refinement for the centric zone, and E" was made equal to E/3. The phases, were used to compute difference Fouriers with coefficients (Fp - Fp exp.iap for the other derivatives. The phases calculated from uranyl positions gave a clear indication of the heavy atom positions of other derivatives which agreed well with those positions determined from the Patterson functions. The enantiomorphic set of uranyl positions gave no clear indication of the heavy atom positions. Thus, the correct enantio-morphs and relative origins for derivatives were established. We then carried out a series of phase refinement cycles (16,17). 

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