Sentence examples for graph memory from inspiring English sources

The de-Bruijn graph memory footprint is kept low thanks to an optimized Bloom filter representation (Chikhi and Rish, 2012; Salikhov et al., 2014).

Figure 7 Graph for memory usage on the heap.

It also means that only two values need to be passed along each edge of the graph, reducing memory requirements.

The main input of this algorithm is the graph of memory accesses during the execution of the application code.

The main data structure is an array having the numbers of rows and columns equal to the size (in words) of the graph of memory accesses and, respectively, the size of the SPM.

This can be achieved by loading only the necessary parts of the graph into memory.

This can be achieved by loading only the necessary parts of the graph into memory and would multiply the amount of data and taxonomy that can be visualized.

An example of this pattern is highlighted with a detached bounding box in Figures 6 and 7. Figure 7 Block diagram of graph-based memory storage and retrieval.

The storage requirement of the multiple bank implementation is the same as a single bank implementation by using a graph-based memory bank addressing scheme.

These binary values go through some logic as shown in Figure 8 or in equation form: Figure 8 The addressing scheme for the multiple bank graph-based memory storage.

To summarize, the main contributions of this paper are the flexible system architecture, the graph-based memory architecture with anchored sensory nodes and the attention control mechanism.