For loop accelerators such as coarse-grained reconfigurable architectures (CGRAs) and GP-GPUs, nested loops represent an important source of parallelism. Existing solutions to mapping nested loops on ...

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Patterns can be printed in python using simple for loops. The first outer loop is used to handle a number of rows and the Inner nested loop is used to handle the number of columns. Manipulating the ...

That loop is creating a load of empty dictionaries, then your second loop is overwriting those dictionaries with new ones that have your desired data already contained within.

Abstract: Loop pipelining is a key transformation in high-level synthesis tools as it helps maximizing both computational throughput and hardware utilization. Nevertheless, it somewhat looses its ...

Identifying suitable patterns in complex biological interaction networks helps understanding network functions and allows for predictions at the pattern level: by recognizing a known pattern, one ...