Graphics processing unit (gpu) optimization using hash tables

A method comprising:

• at a computing platform comprising at least one processor, a communication interface, and memory:
• receiving a graphics processing unit (GPU) processing request for processing by a GPU system;
• identifying an operation requested by the GPU processing request;
• identifying whether or not the operation is stored in a hash table;
• based on identifying that the operation is not stored in the hash table, identifying whether an approximate match of the operation is stored in the hash table;
• based on identifying that the approximate match is stored in the hash table, identifying a first key stored, in the hash table, along with the approximate match;
• identifying, using the first key, a location of a solution to the approximate match of the operation;
• obtaining, from the location, the solution to the approximate match of the operation;
• and
• applying the solution.

One or more non-transitory computer-readable media storing instructions that, when executed by a computing platform comprising at least one processor, a communication interface, and memory, cause the computing platform to:

• receive a graphics processing unit (GPU) processing request for processing by a GPU system;
• identify an operation requested by the GPU processing request;
• identify whether or not the operation is stored in a hash table;
• based on identifying that the operation is not stored in the hash table, identify whether an approximate match of the operation is stored in the hash table;
• based on identifying that the approximate match is stored in the hash table, identify a first key stored, in the hash table, along with the approximate match;
• identify, using the first key, a location of a solution to the approximate match of the operation;
• obtain, from the location, the solution to the approximate match of the operation;
• and
• apply the solution.