Using Clang's sanitizers obviously require you to use Clang (
USECLANG=1), but there's another catch: most sanitizers require a run-time library, provided by the host compiler, while the instrumented code generated by Julia's JIT relies on functionality from that library. This implies that the LLVM version of your host compiler matches that of the LLVM library used within Julia.
An easy solution is to have an dedicated build folder for providing a matching toolchain, by building with
BUILD_LLVM_CLANG=1 and overriding
LLVM_USE_CMAKE=1 (Autotool-based builds are incompatible with ASAN). You can then refer to this toolchain from another build folder by specifying
USECLANG=1 while overriding the
Address Sanitizer (ASAN)
For detecting or debugging memory bugs, you can use Clang's address sanitizer (ASAN). By compiling with
SANITIZE=1 you enable ASAN for the Julia compiler and its generated code. In addition, you can specify
LLVM_SANITIZE=1 to sanitize the LLVM library as well. Note that these options incur a high performance and memory cost. For example, using ASAN for Julia and LLVM makes
testall1 takes 8-10 times as long while using 20 times as much memory (this can be reduced to respectively a factor of 3 and 4 by using the options described below).
By default, Julia sets the
allow_user_segv_handler=1 ASAN flag, which is required for signal delivery to work properly. You can define other options using the
ASAN_OPTIONS environment flag, in which case you'll need to repeat the default option mentioned before. For example, memory usage can be reduced by specifying
malloc_context_size=2, at the cost of backtrace accuracy. For now, Julia also sets
detect_leaks=0, but this should be removed in the future.
Memory Sanitizer (MSAN)
For detecting use of uninitialized memory, you can use Clang's memory sanitizer (MSAN) by compiling with