{"id":38137,"date":"2019-10-31T22:21:53","date_gmt":"2019-10-31T19:21:53","guid":{"rendered":"https:\/\/prohoster.info\/blog\/proekt-po-dobavleniyu-v-gcc-podderzhki-rasparallelivaniya-protsessa-kompilyatsii\/"},"modified":"2019-10-31T22:21:53","modified_gmt":"2019-10-31T19:21:53","slug":"proekt-po-dobavleniyu-v-gcc-podderzhki-rasparallelivaniya-protsessa-kompilyatsii","status":"publish","type":"post","link":"https:\/\/prohoster.info\/en\/blog\/news\/proekt-po-dobavleniyu-v-gcc-podderzhki-rasparallelivaniya-protsessa-kompilyatsii","title":{"rendered":"Project to add support for parallel compilation processes in GCC","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

As part of the research project Parallel GCC<\/a><\/noindex> work has begun on adding the capability to GCC that allows splitting the compilation process into several simultaneously executing threads. Currently, to increase the build speed on multi-core systems at the make utility level, separate compiler processes are launched, each of which compiles a separate code file. The new project experiments with providing parallelization at the compiler level, which potentially enhances efficiency on multi-core systems. <\/p>\n

For testing has been prepared<\/a><\/noindex> A separate parallelization branch of GCC has introduced a new parameter «—param=num-threads=N» to set the number of threads. Initially, interprocedural optimizations that are cyclically invoked for each function and are well-suited for parallelization have been moved to separate execution threads. GIMPLE operations responsible for hardware-independent optimizations that evaluate the interactions between functions have been offloaded to separate threads.<\/p>\n

In the next stage, interprocedural RTL optimizations that take into account the features of the hardware platform are also planned to be moved to separate threads. After that, it is planned to implement parallelization of interprocedural optimizations (IPA) applied to code within a function, regardless of call characteristics. The limiting factor at this point is the garbage collector, which has been added with a global lock that disables garbage collection operations during multi-threaded operation (in the future, the garbage collector will be adapted for multi-threaded execution in GCC).<\/p>\n

To assess changes in performance, a test set has been prepared that compiles the file gimple-match.c, which includes more than 100,000 lines of code and 1,700 functions. Tests on a system with an Intel Core i5-8250U CPU with 4 physical cores and 8 virtual ones (Hyperthreading) showed a decrease in the execution time of Intra Procedural GIMPLE optimizations from 7 to 4 seconds when running 2 threads and to 3 seconds when running 4 threads, resulting in an increase in the speed of the considered build stage by 1.72 and 2.52 times, respectively. Tests also showed that the use of virtual cores during Hyperthreading does not lead to increased performance. <\/p>\n

\"Project<\/center><\/p>\n

The total build time has been reduced by approximately 10%, but forecasts suggest that parallelizing RTL optimizations will yield more significant results, as this stage takes considerably more time during compilation. Once RTL parallelization is implemented, the overall build time is expected to decrease by 1.61 times. Additionally, a further 5-10% reduction in build time can be achieved by parallelizing IPA optimizations.<\/p>\n

\"Project<\/center><\/p>\n

<\/a><\/noindex><\/p>\n

Source: opennet.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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