The data allocated in shared memory has limited visibility in the single-threaded block. It is easy to see that the PyCUDA programming model adapts to specific classes of applications.

In particular, the features that these applications must present concern the presence of many mathematical operations, with a high degree of data parallelism (that is, the same sequence of operations being repeated on large amounts of data).

The application fields that possess these characteristics all belong to the following sciences: cryptography, computational chemistry, and image and signal analysis.