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Introducing local register allocation for the tier-1 JIT compiler
Local register allocation effectively reuses the host register value within a basic block scope, thereby reducing the number of load and store instructions. Take continuous addi instructions as an example: addi t0, t0, 1 addi t0, t0, 1 addi t0, t0, 1 * The generated machine code without register allocation load t0, t0_addr add t0, 1 sw t0, t0_addr load t0, t0_addr add t0, 1 sw t0, t0_addr load t0, t0_addr add t0, 1 sw t0, t0_addr * The generated machine code without register allocation load t0, t0_addr add t0, 1 add t0, 1 add t0, 1 sw t0, t0_addr As shown in the above example, register allocation reuses the host register and reduces the number of load and store instructions. * x86-64(i7-11700) | Metric | W/O RA | W/ RA | SpeedUp | |----------+----------+----------+---------| | dhrystone| 0.342 s | 0.328 s | +4.27% | | miniz | 1.243 s | 1.185 s | +4.89% | | primes | 1.716 s | 1.689 s | +1.60% | | sha512 | 2.063 s | 1.880 s | +9.73% | | stream |11.619 s |11.419 s | +1.75% | * Aarch64 (eMag) | Metric | W/O RA | W/ RA | SpeedUp | |----------+----------+----------+---------| | dhrystone| 1.935 s | 1.301 s | +48.73% | | miniz | 7.706 s | 4.362 s | +76.66% | | primes |10.513 s | 9.633 s | +9.14% | | sha512 | 6.508 s | 6.119 s | +6.36% | | stream |45.174 s |38.037 s | +18.76% | As demonstrated in the performance analysis, the register allocation improves the overall performance for the T1C generated machine code. Without RA, the generated machine need to store back the register value in the end of intruction. With RA, we only need to store back the register value in the end of basic block or when host registers are fully occupied. The performance enhancement is particularly pronounced on Aarch64 due to its increased availability of registers, providing a more extensive mapping capability for VM registers.
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Benchmarks
Dhrystone
1745.5
Average DMIPS over 10 runs1746.88
Average DMIPS over 10 runs1.00
Coremark
1531.116
Average iterations/sec over 10 runs1516.62
Average iterations/sec over 10 runs0.99
This comment was automatically generated by workflow using github-action-benchmark.