Multiverse: Compiler-Assisted Management of Dynamic Variability in Low-Level System Software Florian Rommel, Christian Dietrich, Michael Rodin, Daniel Lohmann {rommel, dietrich, lohmann}@sra.uni-hannover.de,
[email protected] Leibniz Universität Hannover, Germany Abstract inline void spin_irq_lock(raw_spinlock_t *lock) { System software, such as the Linux kernel, typically pro- #ifdef CONFIG_SMP vides a high degree of versatility by means of static and dy- irq_disable(); _ namic variability. While static variability can be completely spin acquire(&lock); #else A Static Binding resolved at compile time, dynamic variation points come at irq_disable(); a cost arising from extra tests and branches in the control #endif flow. Kernel developers use it (a) only sparingly and (b)try } to mitigate its overhead by run-time binary code patching, for which several problem/architecture-specific mechanisms B Dynamic Binding have become part of the kernel. inline {+ __attribute__((multiverse)) +} We think that means for highly efficient dynamic variabil- void spin_irq_lock(raw_spinlock_t *lock) { ity should be provided by the language and compiler instead if (config_smp) { _ and present multiverse, an extension to the C programming irq disable(); spin_acquire(&lock); language and the GNU C compiler for this purpose. Mul- } else{ C Multiverse tiverse is easy to apply and targets program-global config- irq_disable(); uration switches in the form of (de-)activatable features, } } integer-valued configurations, and rarely-changing program modes. At run time, multiverse removes the overhead of eval- [avg. cycles] A B C uating them on every invocation. Microbenchmark results SMP=false 6.64 9.75 7.48 from applying multiverse to performance-critical features SMP=true 28.82 28.91 28.86 of the Linux kernel, cPython, the musl C-library and GNU grep show that multiverse can not only replace and unify the Figure 1.