Yes the examples you have all have multiple processing elements but they are vector processors. I was talking about simple and cheap scalar processors. GPUs rely on symmetry to simplify the hardware design. Multiple…
That is an interesting idea. I wonder if a small processor core could be stamped out on an fpga and hundreds of small processors can run simultaneously. Then I wish my c++ objects each ran in a separate (virtual)…
Anyone can prefetch data into the cache, but letting programmers control cache eviction would open the door to all kinds of user errors which would kill performance.
A 10Mhz processor has a clock cycle of 100ns (0.1 millionths of a second). Those are just rough representative numbers I picked...any particular RAM delays would be different and the actual latency would be complicated…
GPUs are latency hiding engines...they address the mismatch between processor clock speeds and memory latency by a unique scheme. Since they can’t improve memory latency, instead they parallelize memory and vastly…
Yes the examples you have all have multiple processing elements but they are vector processors. I was talking about simple and cheap scalar processors. GPUs rely on symmetry to simplify the hardware design. Multiple…
That is an interesting idea. I wonder if a small processor core could be stamped out on an fpga and hundreds of small processors can run simultaneously. Then I wish my c++ objects each ran in a separate (virtual)…
Anyone can prefetch data into the cache, but letting programmers control cache eviction would open the door to all kinds of user errors which would kill performance.
A 10Mhz processor has a clock cycle of 100ns (0.1 millionths of a second). Those are just rough representative numbers I picked...any particular RAM delays would be different and the actual latency would be complicated…
GPUs are latency hiding engines...they address the mismatch between processor clock speeds and memory latency by a unique scheme. Since they can’t improve memory latency, instead they parallelize memory and vastly…