# Lecture: Branch Prediction Topics: power/energy basics and DFS/DVFS,

Lecture: Branch Prediction Topics: power/energy basics and DFS/DVFS, branch prediction, bimodal/global/local/tournament predictors, branch target buffer (Section 3.3, notes on class webpage) 1 Power Consumption Trends Dyn power activity x capacitance x voltage2 x frequency Capacitance per transistor and voltage are decreasing, but number of transistors is increasing at a faster rate; hence clock frequency must be kept steady Leakage power is also rising; is a function of transistor count, leakage current, and supply voltage Power consumption is already between 100-150W in

high-performance processors today Energy = power x time = (dynpower + lkgpower) x time 2 Power Vs. Energy Energy is the ultimate metric: it tells us the true cost of performing a fixed task Power (energy/time) poses constraints; can only work fast enough to max out the power delivery or cooling solution If processor A consumes 1.2x the power of processor B, but finishes the task in 30% less time, its relative energy is 1.2 X 0.7 = 0.84; Proc-A is better, assuming that 1.2x power can be supported by the system 3

Reducing Power and Energy Can gate off transistors that are inactive (reduces leakage) Design for typical case and throttle down when activity exceeds a threshold DFS: Dynamic frequency scaling -- only reduces frequency and dynamic power, but hurts energy DVFS: Dynamic voltage and frequency scaling can reduce voltage and frequency by (say) 10%; can slow a program by (say) 8%, but reduce dynamic power by 27%, reduce total power by (say) 23%, reduce total energy by 17% (Note: voltage drop slow transistor freq drop) 4 DFS and DVFS

DFS DVFS 5 Pipeline without Branch Predictor IF (br) PC Reg Read Compare Br-target PC + 4

In the 5-stage pipeline, a branch completes in two cycles If the branch went the wrong way, one incorrect instr is fetched One stall cycle per incorrect branch 6 Pipeline with Branch Predictor IF (br) PC Branch Predictor Reg Read

Compare Br-target In the 5-stage pipeline, a branch completes in two cycles If the branch went the wrong way, one incorrect instr is fetched One stall cycle per incorrect branch 7 1-Bit Bimodal Prediction For each branch, keep track of what happened last time and use that outcome as the prediction What are prediction accuracies for branches 1 and 2 below: while (1) { for (i=0;i<10;i++) {

} for (j=0;j<20;j++) { } } branch-1 branch-2 8 2-Bit Bimodal Prediction For each branch, maintain a 2-bit saturating counter: if the branch is taken: counter = min(3,counter+1) if the branch is not taken: counter = max(0,counter-1) If (counter >= 2), predict taken, else predict not taken

Advantage: a few atypical branches will not influence the prediction (a better measure of the common case) Especially useful when multiple branches share the same counter (some bits of the branch PC are used to index into the branch predictor) Can be easily extended to N-bits (in most processors, N=2) 9 Bimodal 1-Bit Predictor Branch PC 10 bits Table of 1K entries Each entry is a bit

The table keeps track of what the branch did last time 10 Bimodal 2-Bit Predictor Branch PC 10 bits The table keeps track of the common-case outcome for the branch Table of 1K entries Each entry is a 2-bit

sat. counter 11 Correlating Predictors Basic branch prediction: maintain a 2-bit saturating counter for each entry (or use 10 branch PC bits to index into one of 1024 counters) captures the recent common case for each branch Can we take advantage of additional information? If a branch recently went 01111, expect 0; if it recently went 11101, expect 1; can we have a separate counter for each case? If the previous branches went 01, expect 0; if the previous branches went 11, expect 1; can we have

a separate counter for each case? Hence, build correlating predictors 12 Global Predictor Branch PC 10 bits CAT Global history The table keeps track of the common-case outcome for the branch/history combo Table of

16K entries Each entry is a 2-bit sat. counter 13 Local Predictor Branch PC Also a two-level predictor that only uses local histories at the first level Use 6 bits of branch PC to

index into local history table 10110111011001 Table of 64 entries of 14-bit histories for a single branch 14-bit history indexes into next level Table of 16K entries of 2-bit saturating counters

14 Local Predictor 10 bits Branch PC XOR 6 bits Local history 10 bit entries 64 entries

Table of 1K entries Each entry is a 2-bit sat. counter The table keeps track of the common-case outcome for the branch/local-history combo 15 Local/Global Predictors Instead of maintaining a counter for each branch to capture the common case, Maintain a counter for each branch and surrounding pattern

If the surrounding pattern belongs to the branch being predicted, the predictor is referred to as a local predictor If the surrounding pattern includes neighboring branches, the predictor is referred to as a global predictor 16 Tournament Predictors A local predictor might work well for some branches or programs, while a global predictor might work well for others Provide one of each and maintain another predictor to identify which predictor is best for each branch Local Predictor Global Predictor

Branch PC Tournament Predictor Table of 2-bit saturating counters M U X Alpha 21264: 1K entries in level-1 1K entries in level-2

4K entries 12-bit global history 4K entries Total capacity: ? 17 Branch Target Prediction In addition to predicting the branch direction, we must also predict the branch target address Branch PC indexes into a predictor table; indirect branches might be problematic Most common indirect branch: return from a procedure can be easily handled with a stack of return addresses 18

Title Bullet 19

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