Current CPU, GPU's a lot of components.
OK here's the story, I would like a serial based fractional math based processor as fractional math is simpler and faster than decimal math and a serial based processor would be made of less components.
So heres the answer, if you rotate a memory data table 90 deg in memory you can have simultaneus single bit serial data access (64 channels using 64 bit memory) using standard memory, great for graphics. Add in an arithmetic matrix to the memory, and some command ROM and a complete computer may be possible.
My FS90 Processor, Fractional Serial (rotated memory by 90 deg)
So, any thoughts?
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This does not seems to be Intel FPGA product, but more towards processors.
Hence allow me to route you to the correct channels and relevant support will get back to you.
Hope that clarify.
Thank you for posting on the Intel® communities. I do appreciate your feedback related to this new processor technology and architecture.
I will close this thread since support is not needed, however, we will keep your feedback in mind. Feel free to open a new thread if you need support or if you would like to share your ideas.
Please keep in mind that this thread will no longer be monitored by Intel.
Intel Customer Support Technician
OK, let's look at an engineering pont over view, cm, mm vs inches and fractions of.
Computers work in base 2, so does 1/2 inch, 1/4, 1/8 1/16, 1/32, 1/64, 1/128 & 1/256.
Whilst mm goes in dividing by 10 or base 10, also 0.5 or 1/2cm, or 500/1000, 1000/10000, 2000/10000, it all goes strange when using computer maths.
My point is fractional math is faster, less steps involved in calculating the answer hence is faster.
Serial based math computing is easy!
I think we need to move away from base 10 in as far as human & computer interaction is concerned and work with whichever is faster as computers are very fast nowdays and translating from and to human form is only necessary in print commands when a person needs to read or input its value.
Let's work in base 2 systems.
I'm wearing a "Base 2" t-shirt!
Let's store as w.f.o whole.fraction.of or fraction.of like 123/32
You are correct, a base 10 number system stored in base 2. I'm calling for a base 10 sizeing with base 2, stored in a base 2.
It's closer to the metal. It's about fractional math not decimal math on the metal.