NVMe Blurs the Strains between Memory And Storage
Harris Lamm 于 1 月之前 修改了此页面


Personally I don’t assume we are going to see the line between memory and storage be all that muddled sooner or later. Sure, 3D XPoint is a lot more responsive than Flash. But Flash isn’t all that spectacular as is. The typical onerous drive has access latencies round 4ms on average. Flash can reach nicely bellow µs latency, however for very small arrays. That is costly and largely seen in Microcontrollers that execute directly from their Flash. "Enterprise grade" flash that optimizes at cost/GB may have far higher latency, in the few to tens of µs area. 3D Xpoint is a little bit of a wash. I have seen quoted figures of sub 350ns write latency, but that is probably going for a single cell, not an array. Optane modules from Intel then again have typical latencies around 5-15µs, however this is from a "system" perspective, ie, protocol and controller overhead comes into play, in addition to one’s software program surroundings.


DRAM then again has entry latencies round 2-15ns at current. The problem with latency is that it results in our processor stalling due to not getting the info in time. One can prefetch, but branches makes prefetching harder, MemoryWave Guide since what facet do you have to fetch? Department prediction partly solves this issue. However from a efficiency standpoint, we should fetch both sides. But if we now have extra latency, we have to prefetch even earlier, risking extra branches. In other phrases, peak bandwidth required by our processor increases at an exponential rate compared to latency. A fee that's application dependent as effectively. Caching might sound like the trivial answer to the problem, however the efficiency of cache is proportional to the latency. To a level, cache is a magic bullet that just makes memory latency disappear. But each time an utility requires something that isn’t in cache, then the appliance stalls, as long as there is threads to take its place that also have data to work on, then you won’t have a efficiency deficit other than thread switching penelties, but when you don’t have such threads, then the CPU stalls.


One can be sure that extra threads have their information by simply making the cache bigger, but cache is so much dearer than DRAM. In the end, all of it leads to the fact that rising latency would require an arbitrary quantity extra cache for the same system performance. Going from the few ns latency of DRAM to the couple of µs latency of present persistent memory will not be lifelike as an precise alternative for DRAM, even when it reduces its latency to a 100th it continues to be not impressive so far as memory goes. Although, the use of persistent DIMMs for storage caching or as a "RAM drive" of types nonetheless has main advantages, however for program execution it's laughable. And that i don’t suspect this to alter any time quickly. However I can see a future the place the primary memory relocates into the CPU. Where the CPU itself has an HBM memory chip or 4 on it supplying comparatively low latency and Memory Wave excessive bandwidth memory to the CPU, while the exterior buses are used for IO and storage. But this isn’t all that lifelike in more professional functions, since some workstation purposes honestly needs 10’s-100’s of GB of precise RAM to get good efficiency.


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