Multiplying the content of two x-y matrices together for screen rendering and AI processing. Matrix multiplication provides a series of fast multiply and add operations in parallel, and it is built ...

Solving many scientific and technical applications entails the use of matrix multiplies somewhere in the algorithm and thus the computer code. With today’s multicore CPUs, proper use of complier ...

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As hardware designers turn toward multicore processors to improve computing power, software programmers must find new programming strategies that harness the power of parallel computing. One technique ...

This guide shows how TPUs crush performance bottlenecks, reduce training time, and offer immense scalability via Google Cloud ...

Artificial intelligence grows more demanding every year. Modern models learn and operate by pushing huge volumes of data ...

The future of computing has arrived in a flash, literally. In A Nutshell Researchers created a computer that performs complex AI calculations by sending laser light through optical elements once, ...

Google is reportedly in talks to sell its tensor processing units – a type of computer chip specially designed for AI – to ...

Sparse matrix computations are prevalent in many scientific and technical applications. In many simulation applications, the solving of the sparse matrix-vector multiplication (SpMV) is critical for ...