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Looking at ARM they have the Big little architecture (little processors for more efficient energy usage and big processors for when you need the performance). P
by zitterbewegung 8y ago
Looking at ARM they have the Big little architecture (little processors for more efficient energy usage and big processors for when you need the performance). Putting more emphasis on less power hungry ways to get similar performance or otherwise.
Also putting more specialized parts like GPUs, FPGAs, ML accelerators either near or on the die. the A12 is a good example of this. Also, Intel's buyout of Xilinx shows that FPGAs can be put on die or near it. You could even put storage on the SOC.
Then there are the more esoteric methods like Quantum Computing.
- newusertoday 8y agointel bought altera not xilinx. xilinx is still independent company
- temptemptemp111 8y agoI don't think they'll get far with QC... But I want to see GPU+CPU+Memory all compressed together under one heatsink ASAP. Reducing RAM by an order of magnitude in latency could be one of the next jumps.
- etaioinshrdlu 8y agoI bet CPUs, GPUs, FPGAs, modems, DRAM, flash, optane-like things will all end up on the same die eventually. Granted some processes are better at making some types of devices ... but maybe we'll see more one-size-fits all type chips in the future. Now that I write this it seems like we are already most of the way there.
- johncolanduoni 8y agoQuantum computing is profoundly unlikely to be a solution to maintaining performance increases in desktop, datacenter, or mobile processors. Unless someone comes up with a good way to do a single thing people use a PC, phone, or server (outside of very specific HPC applications) via a quantum algorithm that isn't just a classical one with extra steps, it would not be useful at all for this.