Computing

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in-memory compute

In-Memory Compute: the Caveats

By Bryon Moyer | October 30, 2020 | 0 Comments

[From the last episode: We saw that converters are needed around an analog memory to convert between digital and analog parts of the circuit.] We’ve seen that we can modify a digital memory a number of ways to make it do math for us. Those modifications include: Using the cell […]

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analog memory

Getting to an Analog Memory

By Bryon Moyer | October 23, 2020 | 0 Comments

[From the last episode: We noted that some inventions, like in-memory compute, aren’t intuitive, being driven instead by the math.] We have one more addition to add to our in-memory compute system. Remember that, when we use a regular memory, what goes in is an address – a binary number. […]

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intuition

Letting the Math Do the Talking

By Bryon Moyer | October 16, 2020 | 0 Comments

[From the last episode: We put together many of the ideas we’ve been describing to show the basics of how in-memory compute works.] I’m going to take a sec for some commentary before we continue with the last few steps of in-memory compute. The whole point of this website is […]

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in-memory compute

In-Memory Computing

By Bryon Moyer | October 9, 2020 | 2 Comments

[From the last episode: We saw how a resistive memory cell can perform multiplication] We can now complete the picture of how we can use a memory for AI. As we saw, AI involves lots of sums of products, also known as multiply-accumulates. Multiply a bunch of pairs of numbers […]

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in-memory computing

Bit Cell as Multiplier

By Bryon Moyer | October 2, 2020 | 0 Comments

[From the last episode: We looked at different types of bit cells where resistance plays a role in how they work.] We’ve seen how some cells are resistive. But, as normally used, they have two “basic” resistances: high and low. Exactly how high or how low is less important – […]

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