The Front End

Sandy Bridge’s CPU architecture is evolutionary from a high level viewpoint but far more revolutionary in terms of the number of transistors that have been changed since Nehalem/Westmere.

In Core 2 Intel introduced a block of logic called the Loop Stream Detector (LSD). The LSD would detect when the CPU was executing a software loop turn off the branch predictor and fetch/decode engines and feed the execution units through micro-ops cached by the LSD. This approach saves power by shutting off the front end while the loop executes and improves performance by feeding the execution units out of the LSD.

In Sandy Bridge, there’s now a micro-op cache that caches instructions as they’re decoded. There’s no sophisticated algorithm here, the cache simply grabs instructions as they’re decoded. When SB’s fetch hardware grabs a new instruction it first checks to see if the instruction is in the micro-op cache, if it is then the cache services the rest of the pipeline and the front end is powered down. The decode hardware is a very complex part of the x86 pipeline, turning it off saves a significant amount of power. While Sandy Bridge is a high end architecture, I feel that the micro-op cache would probably benefit Intel’s Atom lineup down the road as the burden of x86 decoding is definitely felt in these very low power architectures.

The cache is direct mapped and can store approximately 1.5K micro-ops, which is effectively the equivalent of a 6KB instruction cache. The micro-op cache is fully included in the L1 i-cache and enjoys approximately an 80% hit rate for most applications. You get slightly higher and more consistent bandwidth from the micro-op cache vs. the instruction cache. The actual L1 instruction and data caches haven’t changed, they’re still 32KB each (for total of 64KB L1).

All instructions that are fed out of the decoder can be cached by this engine and as I mentioned before, it’s a blind cache - all instructions are cached. Least recently used data is evicted as it runs out of space.

This may sound a lot like Pentium 4’s trace cache but with one major difference: it doesn’t cache traces. It really looks like an instruction cache that stores micro-ops instead of macro-ops (x86 instructions).

Along with the new micro-op cache, Intel also introduced a completely redesigned branch prediction unit. The new BPU is roughly the same footprint as its predecessor, but is much more accurate. The increase in accuracy is the result of three major innovations.

The standard branch predictor is a 2-bit predictor. Each branch is marked in a table as taken/not taken with an associated confidence (strong/weak). Intel found that nearly all of the branches predicted by this bimodal predictor have a strong confidence. In Sandy Bridge, the bimodal branch predictor uses a single confidence bit for multiple branches rather than using one confidence bit per branch. As a result, you have the same number of bits in your branch history table representing many more branches, which can lead to more accurate predictions in the future.

Branch targets also got an efficiency makeover. In previous architectures there was a single size for branch targets, however it turns out that most targets are relatively close. Rather than storing all branch targets in large structures capable of addressing far away targets, SNB now includes support for multiple branch target sizes. With smaller target sizes there’s less wasted space and now the CPU can keep track of more targets, improving prediction speed.

Finally we have the conventional method of increasing the accuracy of a branch predictor: using more history bits. Unfortunately this only works well for certain types of branches that require looking at long patterns of instructions, and not well for shorter more common branches (e.g. loops, if/else). Sandy Bridge’s BPU partitions branches into those that need a short vs. long history for accurate prediction.

Introducing Sandy Bridge Physical Register File & Execution Improvements
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