Help with an error message when processing huge VTU file about charm4py HOT 2 OPEN

Running on 17 processors:  /usr/bin/python3.8 script.py HUGE.vtu --charm 
charmrun>  /usr/bin/setarch x86_64 -R  mpirun -np 17  /usr/bin/python3.8 script.py HUGE.vtu --charm 
Charm++> Running on MPI version: 3.1
Charm++> level of thread support used: -1 (desired: 0)
Charm++> Running in non-SMP mode: 17 processes (PEs)
Converse/Charm++ Commit ID: v6.11.0-beta1-29-gd35885331
Isomalloc> Synchronized global address space.
CharmLB> Load balancer assumes all CPUs are same.
Charm4py> Running Charm4py version 1.0 on Python 3.8.0 (CPython). Using 'cython' interface to access Charm++
Charm++> Running on 1 hosts (1 sockets x 10 cores x 2 PUs = 20-way SMP)
Charm++> cpu topology info is gathered in 0.009 seconds.
Initializing charm.pool with 16 worker PEs. Warning: charm.pool is experimental (API and performance is subject to change)
----------------- Python Stack Traceback PE 1 -----------------
  File "charm4py/charmlib/charmlib_cython.pyx", line 863, in charm4py.charmlib.charmlib_cython.recvGroupMsg
  File "/home/thomas/.local/lib/python3.8/site-packages/charm4py/charm.py", line 253, in recvGroupMsg
    header, args = self.unpackMsg(msg, dcopy_start, obj)
  File "charm4py/charmlib/charmlib_cython.pyx", line 739, in charm4py.charmlib.charmlib_cython.CharmLib.unpackMsg
------------- Processor 1 Exiting: Called CmiAbort ------------
Reason: UnpicklingError: pickle data was truncated
[1] Stack Traceback:
  [1:0] libcharm.so 0x7fff576fb6ec CmiAbortHelper(char const*, char const*, char const*, int, int)
  [1:1] libcharm.so 0x7fff576fb801 
  [1:2] charmlib_cython.cpython-38-x86_64-linux-gnu.so 0x7fff57a25dfe 
  [1:3] python3.8 0x5fff6f _PyObject_MakeTpCall
  [1:4] python3.8 0x4ffbbf 
  [1:5] python3.8 0x57dbb0 _PyEval_EvalFrameDefault
  [1:6] python3.8 0x602b2c _PyFunction_Vectorcall
  [1:7] python3.8 0x57904d _PyEval_EvalFrameDefault
  [1:8] charmlib_cython.cpython-38-x86_64-linux-gnu.so 0x7fff57a1ecc0 
  [1:9] charmlib_cython.cpython-38-x86_64-linux-gnu.so 0x7fff57a20464 
  [1:10] charmlib_cython.cpython-38-x86_64-linux-gnu.so 0x7fff57a23847 
  [1:11] charmlib_cython.cpython-38-x86_64-linux-gnu.so 0x7fff57a4d5f1 
  [1:12] libcharm.so 0x7fff576ba77b GroupExt::__entryMethod(void*, void*)
  [1:13] libcharm.so 0x7fff576256d4 CkDeliverMessageFree
  [1:14] libcharm.so 0x7fff5762e6d6 _processHandler(void*, CkCoreState*)
  [1:15] libcharm.so 0x7fff576bf491 CsdScheduleForever
  [1:16] libcharm.so 0x7fff576bf6fd CsdScheduler
  [1:17] libcharm.so 0x7fff576fdfaa ConverseInit
  [1:18] libcharm.so 0x7fff5762b91c StartCharmExt
  [1:19] charmlib_cython.cpython-38-x86_64-linux-gnu.so 0x7fff57a4a7ae 
  [1:20] python3.8 0x5fff6f _PyObject_MakeTpCall
  [1:21] python3.8 0x4ffbbf 
  [1:22] python3.8 0x57dbb0 _PyEval_EvalFrameDefault
  [1:23] python3.8 0x5765ec _PyEval_EvalCodeWithName
  [1:24] python3.8 0x602dd2 _PyFunction_Vectorcall
  [1:25] python3.8 0x57904d _PyEval_EvalFrameDefault
  [1:26] python3.8 0x5765ec _PyEval_EvalCodeWithName
  [1:27] python3.8 0x662c2e 
  [1:28] python3.8 0x662d07 PyRun_FileExFlags
  [1:29] python3.8 0x663a1f PyRun_SimpleFileExFlags
  [1:30] python3.8 0x687dbe Py_RunMain
  [1:31] python3.8 0x688149 Py_BytesMain
  [1:32] libc.so.6 0x7ffff7a03bf7 __libc_start_main
  [1:33] python3.8 0x607daa _start

    if inputArgs.charm:  # Charm4Py
        nBatch = np.ceil(np.sum(varDict['indArr'] == 0) / 6e4).astype(int)
        for batch in range(nBatch):
            nodes2do = np.asarray(varDict['indArr'] == 0).nonzero()
            futures = charm.pool.map_async(
                partial(foo, dictGlobals=dictGlobals),
                list(zip(*[nodes[:60_000] for nodes in nodes2do])),
                multi_future=True)
            for future in charm.iwait(futures):
                output = future.get()
                for i, var in enumerate(outVar):
                    varDict[var][output[0]] = output[i + 1]
                varDict['indArr'][output[0][::-1]] = 1
                varDict['nodesComplete'] += 1