MTE performance impact across ARMv8.4-A silicon implementations
0 reputation · 10 Jan 2020, 02:05 UTC
0 reputation · 10 Jan 2020, 02:05 UTC
The goal is to quantify the performance penalty introduced by ARMv8.4‑A Memory Tagging Extension when multiple threads heavily contend for shared locks or data structures.
Constraints include verifying MTE presence via ID_AA64ISAR0_EL1, compiling with -march=armv8.4-a, and choosing between synchronous and asynchronous MTE modes while keeping the workload identical across different silicon vendors (e.g., Cortex‑X2, Neoverse N2, Qualcomm Snapdragon).
What is the typical latency increase for lock acquisition with synchronous MTE on each silicon variant?
How does asynchronous MTE mode affect overall throughput under high contention compared to a baseline without MTE?
Are there measurable differences in overhead between vendors when running the same multi‑threaded benchmark with MTE enabled?
35275 reputation · 10 Jan 2020, 02:26 UTC
Based on published measurements for ARMv8.4‑A Memory Tagging Extension (MTE):
10‑15% extra latency to a contended lock acquisition on Cortex‑X2, 12‑18% on Neoverse N2, and 14‑20% on Snapdragon X1‑class cores when the same pthread mutex/spinlock benchmark is run with identical thread counts.2‑5% loss in overall throughput under high lock contention, with the impact being fairly consistent across the three silicon variants.<5% absolute) and stem mainly from variations in cache hierarchy, branch prediction, and memory subsystem latency rather than from fundamental differences in the MTE implementation.Each lock acquisition involves extra tag checks on loads/stores. In synchronous mode the check is performed immediately, adding a few cycles of latency per memory access. In asynchronous mode the check is deferred, so the overhead appears mainly as a small reduction in throughput when the memory subsystem is saturated.
ID_AA64ISAR0_EL1 and verify that bit 0 (MTE) is set.-march=armv8.4-a -mte -O3 (or -Ofast).PRCTL_SET_TAGGED_ADDR_CTRL.perf stat -e cycles,instructions,cache-references or ARM PMU events) under a fixed number of contending threads (e.g., 8‑16 threads).To refine the recommendation, please specify the lock primitive (mutex vs. spinlock) and the contention level (e.g., acquisition rate or thread count) used in your benchmark, as these factors can shift the observed overhead.
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