> Modern hardware and software stacks use a very layered structure, with each layer striving to hide its internal functioning details from upper layers. The socio-economic context which allowed such hardware to exist inherently relies on such abstraction (under the name of “industrial secrecy”). An effective constant-time coding process would require a model of computation with strong guarantees on timing-related characteristics, that would be maintained through all these layers, down to the semiconductors that implement the logic gates. This industry-wide vertical cooperation is unlikely to happen
It's not mentioned in the paper, but hardware description languages provide strong guarantees on timing-related characteristics on the semiconductor level. Hardware companies are willing to provide user access to FPGAs, as evidenced by the userspace FPGA subsystem in the Linux kernel as well.[1] You can buy Versal SOCs right now that combine ARM CPUs with FPGAs on one die, run Linux on it, and outsource your crypto tasks to the FPGA.
I see a future where we give up on constant-time coding for CPUs and move crypto libraries to FPGAs, given the hundreds of billions of dollars in our economy reliant on strong encryption. That'd be a world in which every corporate laptop is required to have an FPGA for compliance purposes.
It'd be interesting to know if anyone has tried this.
[1]https://www.phoronix.com/news/FPGA-User-Space-Interface-AMD