Distributed Garbage Collec�on . . . . . . . . . . . . . . . . . . . . . . . . 290 32.8 Local invoca�ons(@id man-distributed-local-invoca�ons) . . . . . . . . . . . . . . . . . . . . . . . 291 32.9 Shared Arrays UniquedById() = new(counter += 1) end end while the intent of this code was to give every instance a unique id, the counter value is recorded at the end of compila�on. All subsequent usages of this incrementally channel. Jobs, iden�fied by an id (job_id), are wri�en to the channel. Each task in this simula�on reads a job_id, waits for a random amount of �me and writes back a tuple of job_id and the simulated �me to

Distributed Garbage Collec�on . . . . . . . . . . . . . . . . . . . . . . . . 292 33.8 Local invoca�ons(@id man-distributed-local-invoca�ons) . . . . . . . . . . . . . . . . . . . . . . . 293 33.9 Shared Arrays UniquedById() = new(counter += 1) end end while the intent of this code was to give every instance a unique id, the counter value is recorded at the end of compila�on. All subsequent usages of this incrementally channel. Jobs, iden�fied by an id (job_id), are wri�en to the channel. Each task in this simula�on reads a job_id, waits for a random amount of �me and writes back a tuple of job_id and the simulated �me to

integer 0 and 1 for type Bool (#29980). • Base.tail now works on named tuples (#29595). • The process id is appended to malloc log files in order to track memory alloca�ons of mul�ple processes (#29969). UniquedById() = new(counter += 1) end end while the intent of this code was to give every instance a unique id, the counter value is recorded at the end of compila�on. All subsequent usages of this incrementally channel. Jobs, iden�fied by an id (job_id), are wri�en to the channel. Each task in this simula�on reads a job_id, waits for a random amount of �me and writes back a tuple of job_id and the simulated �me to

integer 0 and 1 for type Bool (#29980). • Base.tail now works on named tuples (#29595). • The process id is appended to malloc log files in order to track memory alloca�ons of mul�ple processes (#29969). UniquedById() = new(counter += 1) end end while the intent of this code was to give every instance a unique id, the counter value is recorded at the end of compila�on. All subsequent usages of this incrementally channel. Jobs, iden�fied by an id (job_id), are wri�en to the channel. Each task in this simula�on reads a job_id, waits for a random amount of �me and writes back a tuple of job_id and the simulated �me to

UniquedById() = new(counter += 1) end end while the intent of this code was to give every instance a unique id, the counter value is recorded at the end of compilation. All subsequent usages of this incrementally Jobs, identified by an id (job_id), are written to the channel. Each task in this simulation reads a job_id, waits for a random amount of time and writes back a tuple of job_id and the simulated time function do_work() for job_id in jobs exec_time = rand() sleep(exec_time) # simulates elapsed time doing actual work # typically performed externally. put!(results, (job_id, exec_time)) end end; julia>

UniquedById() = new(counter += 1) end end while the intent of this code was to give every instance a unique id, the counter value is recorded at the end of compilation. All subsequent usages of this incrementally Jobs, identified by an id (job_id), are written to the channel. Each task in this simulation reads a job_id, waits for a random amount of time and writes back a tuple of job_id and the simulated time function do_work() for job_id in jobs exec_time = rand() sleep(exec_time) # simulates elapsed time doing actual work # typically performed externally. put!(results, (job_id, exec_time)) end end; julia>

Distributed Garbage Collec�on . . . . . . . . . . . . . . . . . . . . . . . . 294 34.8 Local invoca�ons(@id man-distributed-local-invoca�ons) . . . . . . . . . . . . . . . . . . . . . . . 295 34.9 Shared Arrays UniquedById() = new(counter += 1) end end while the intent of this code was to give every instance a unique id, the counter value is recorded at the end of compila�on. All subsequent usages of this incrementally channel. Jobs, iden�fied by an id (job_id), are wri�en to the channel. Each task in this simula�on reads a job_id, waits for a random amount of �me and writes back a tuple of job_id and the simulated �me to

Distributed Garbage Collec�on . . . . . . . . . . . . . . . . . . . . . . . . 292 33.8 Local invoca�ons(@id man-distributed-local-invoca�ons) . . . . . . . . . . . . . . . . . . . . . . . 293 33.9 Shared Arrays UniquedById() = new(counter += 1) end end while the intent of this code was to give every instance a unique id, the counter value is recorded at the end of compila�on. All subsequent usages of this incrementally channel. Jobs, iden�fied by an id (job_id), are wri�en to the channel. Each task in this simula�on reads a job_id, waits for a random amount of �me and writes back a tuple of job_id and the simulated �me to

UniquedById() = new(counter += 1) end end while the intent of this code was to give every instance a unique id, the counter value is recorded at the end of compilation. All subsequent usages of this incrementally Jobs, identified by an id (job_id), are written to the channel. Each task in this simulation reads a job_id, waits for a random amount of time and writes back a tuple of job_id and the simulated time function do_work() for job_id in jobs exec_time = rand() sleep(exec_time) # simulates elapsed time doing actual work # typically performed externally. put!(results, (job_id, exec_time)) end end; julia>

UniquedById() = new(counter += 1) end end while the intent of this code was to give every instance a unique id, the counter value is recorded at the end of compilation. All subsequent usages of this incrementally Jobs, identified by an id (job_id), are written to the channel. Each task in this simulation reads a job_id, waits for a random amount of time and writes back a tuple of job_id and the simulated time function do_work() for job_id in jobs exec_time = rand() sleep(exec_time) # simulates elapsed time doing actual work # typically performed externally. put!(results, (job_id, exec_time)) end end; julia>