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Convert an XML Schema validation task into a form that is suitablefor running on Graphics Processing Units (GPUs)?

Hi Folks,

I am reading a book [1] on machine learning and the book says some pretty interesting things:

"In the search for more speed, machine learning researchers started taking advantage of special hardware found in some computers, originally designed to improve graphics performance. You may have heard these called graphics cards. ... Those graphics cards contain a GPU, or graphics processing unit. Unlike a general purpose CPU, a GPU is designed to perform specific tasks, and do them well. One of those tasks is to carry out arithmetic, including matrix multiplication, in a highly parallel way. ... GPUs have many more [than CPUs] arithmetic cores, thousands are fairly common today. This means a huge workload can be split amongst all those cores and the job can be done quickly."

Neat! 

That got me to thinking ... I wonder if other kinds of problems (not video game problems) could be converted into a form that could be run with benefit on GPUs? It seems that GPUs are really good at processing large matrices, i.e., doing matrix operations on large matrices. Have you converted a problem, which at first blush seems to have nothing to do with matrices and matrix operations, into a form that involves matrices and matrix operations?

Here's a crazy question: Can the task of validating an XML instance against an XML Schema be turned into a form that could run with benefit on GPUs?

/Roger

[1] Another awesome book by Tariq Rashid: "Make Your First GAN with Pytorch"


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