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doonny / PipeCNN

An OpenCL-based FPGA Accelerator for Convolutional Neural Networks
Apache License 2.0
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quartus_map ended unexpectedly #137

Closed Alhad1994 closed 4 years ago

Alhad1994 commented 4 years ago

flow_failed I am getting this error and I have tried the solution provided by Intel but that does not work! More over I have enough space which I verified. Let me know what solution works??

mustard-seed commented 4 years ago

Have you looked inside _quartus_shcompile.log for the exact error? It is usually a really verbose document, so just search for "ERROR"

Alhad1994 commented 4 years ago

log_error Hi , the log error does not provide any additional information. I have tried the Intel's official solution for which says Workaround/Fix

To work around this problem if a self-referential assignment, remove the self-referential assignment from the RTL.

To work around the insufficient memory based on Quartus version, replace the installed version of Quartus with the version that matches your system properties.

I am confused as to what the system version should be! This problem is fixed in all Pro versions of Quartus.

mustard-seed commented 4 years ago

Another speculation: when you @Alhad1994 said that "there is enough space", did you also check RAM? It might be possible that your machine doesn't have enough RAM or there is a cap on how much RAM a process can use. Quartus_map might get killed if there is not enough RAM (see this: https://forums.intel.com/s/question/0D50P00003yyRK4SAM/error-293007-current-module-quartusmap-ended-unexpectedly?language=en_US)

doonny commented 4 years ago

I think you do not have enough RAM. Make sure there are at least 64GB memory for large design (some times > 96GB ), i.e., when total logic utilization is larger than 100%. Or you could set small values for both vec_size and lane_num to reduce the cost on RAM.

Alhad1994 commented 4 years ago

Thank you @doonny and @mustard-seed . I checked the RAM and I had alloted 4 GB which was not sufficient. I changed vec_size and lane_num to 4 and bumped my RAM to 8 GB on vitual machine which solved the error.