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Currently, Julia exceptions trigger an
s_trap 2
, which causes thewait
handler to hang, and doesn't communicate any useful information about what caused the exception. This PR replaces that mechanism with a similar mechanism to the one CUDAnative uses, but with the goal to provide proper per-kernel exceptions (as opposed to throwing the exception at the next API call).Todo:
@rocprint
calls to fix kernels with exceptionsfree
for malloc'd dataActually make the ring buffer a ring buffer (currently it's a list)ExceptionEntry
)malloc
'd data when the kernel exits by default