One of the most common computational actions today is matrix multiplication, mathematical functions across columns of figures. One of the most popular expressions of this is object recognition and another is large-scale optimization and the location of global minima. But this action is very compute-intensive. Add to this the data flood from edge devices ranging from smart phones to sensors – which has made data analysis the key to finding signals in that noise, and artificial intelligence the key to data analysis – and you have a perfect storm. Too much data, too little information.

Hewlett Packard Enterprise’s Dot Product Engine (DPE) is a multiple-use accelerator architecture the company has produced to breast that storm. Most accelerators are designed to help solve specific problems. They’re one-offs, their creation is expensive, and they are irreplicable. With the DPE, you can spin up new accelerators with much less effort. And now, in the next step, an HPE team has created a full-stack DPE demo.

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