> a series of pioneering microprocessors from the 1980s, intended for parallel computing. To support this, each transputer had its own integrated memory and serial communication links to exchange data with other transputers
Why not compose a 3, 6, 12 year business plan and approach Nvidia for a 20-49% stake in ownership? Show up at the HN Taipei meet-up and ask around? They had $40B plus to acquire ARM. What if the transputer concept can lower the W-budget for genuine-ai? Without leaving the UK you could ask around Man. U. there's an ARM lab there.
Right. For pipeline hardware, the per-CPU resources have to be well matched to the problem. You have to cut up the problem into bite-size pieces that are the right size for the compute and memory of the little processors. Audio, yes; sonar, yes; cellular problems such as weather prediction and finite element analysis, maybe. The PS3/Cell ran into that problem, which is why later Playstations are more conventional.
Exotic parallel architectures: you can build it, but will they come? Usually, no. You need some widely used case that partitions to match the hardware. GPUs and Bitcoin mining are the big successes so far. Machine learning has that property. Successes in this area tend to come from needing to solve a specific problem at scale.
