bug#78975: Feature request: per-library compiler

William T Jones via Bug reports for Automake <[email protected]> Tue, 8 Jul 2025 21:53:11 -0400
Newsgroups gmane.comp.sysutils.automake.bugs
Message-ID <[email protected]>
This is a multi-part message in MIME format.
--------------i2Wrqozpqme7xXbSBM9GyB0L
Content-Type: text/plain; charset=UTF-8; format=flowed
Content-Transfer-Encoding: 8bit

I would like to request a feature for GNU Automake if it is possible.

When building programs and libraries with GNU Autotools (libtool, 
aclocal, automake, and autoconf) it is sometimes desirable to compile 
the same source with a custom compiler (other than CC, CXX, etc.).  A 
sample use case is to compile the same source file for multiple device 
accelerator architectures (CUDA, HIP, CPU, etc.) into a specific program 
or library.

In this use case, the same source modules need to be compile and linked 
into a device specific program or library.  Since the same source would 
be compiled for multiple devices, it would be advantageous to compile 
the source with multiple compilers within a single Makefile.am.  The 
desire would be to specify the compiler on a per-program (or 
per-library) basis in keeping with the ability to specify program and 
library variables (`maude_CFLAGS', `maude_LINK', etc.).  The suggestion 
would be to add new variables (`maude_CC', `maude_CXX', etc.) and use 
those in the custom object targets (`maude-%.o: %.c' where the stem is 
expanded) in place of $(CC), $(CXX), etc..

An example Makefile.am would contain the following:

lib_LTLIBRARIES = libcpu.la libcuda.la libhip.la

my_SRCS = source.c

libcpu_la_SOURCES = $(my_SRCS)
libcpu_la_CFLAGS =

libcuda_la_SOURCES = $(my_SRCS)
libcuda_la_CFLAGS = -Wc,-x,cu -Wc,-dc
libcuda_la_CC = nvcc

libhip_la_SOURCES = $(my_SRCS)
libhip_la_CFLAGS = -Wc,-fgpu-rdc -Wc,-dc
libhip_la_LDFLAGS = -Wc,-fgpu-rdc,--hip-link
libhip_la_CC = hipcc

And, as an example, the generated rule for compiling source.c for 
libcuda.la would be generated as ($CC replaced with $libcuda_la_CC):

libcuda_la-source.lo: source.c
         $(AM_V_CC)$(LIBTOOL) $(AM_V_lt) --tag=CC $(AM_LIBTOOLFLAGS) 
$(LIBTOOLFLAGS) --mode=compile $(libcuda_la_CC) $(DEFS) 
$(DEFAULT_INCLUDES) $(INCLUDES) $(AM_CPPFLAGS) $(CPPFLAGS) 
$(libcuda_la_CFLAGS) $(CFLAGS) -MT libcuda_la-source.lo -MD -MP -MF 
$(DEPDIR)/libcuda_la-source.Tpo -c -o libcuda_la-source.lo `test -f 
'source.c' || echo '$(srcdir)/'`source.c
         $(AM_V_at)$(am__mv) $(DEPDIR)/libcuda_la-source.Tpo 
$(DEPDIR)/libcuda_la-source.Plo
#       $(AM_V_CC)source='source.c' object='libcuda_la-source.lo' 
libtool=yes \
#       DEPDIR=$(DEPDIR) $(CCDEPMODE) $(depcomp) \
#       $(AM_V_CC_no)$(LIBTOOL) $(AM_V_lt) --tag=CC $(AM_LIBTOOLFLAGS) 
$(LIBTOOLFLAGS) --mode=compile $(libcuda_la_CC) $(DEFS) 
$(DEFAULT_INCLUDES) $(INCLUDES) $(AM_CPPFLAGS) $(CPPFLAGS) 
$(libcuda_la_CFLAGS) $(CFLAGS) -c -o libcuda_la-source.lo `test -f 
'source.c' || echo '$(srcdir)/'`source.c

Is this possible and acceptable?

If there is another way to accomplish this task, I am open to it. 
However, I have researched the topic with documentation searches and 
failed AI chats and have not discovered an elegant solution.

Thank you for all of the great work,


Bill

-- 
--------------i2Wrqozpqme7xXbSBM9GyB0L
Content-Type: multipart/related;
 boundary="------------6MoZzjrPWYMYzF9aTOlztBQo"

--------------6MoZzjrPWYMYzF9aTOlztBQo
Content-Type: text/html; charset=UTF-8
Content-Transfer-Encoding: 8bit

<!DOCTYPE html>
<html>
  <head>

    <meta http-equiv="content-type" content="text/html; charset=UTF-8">
  </head>
  <body>
    <p>I would like to request a feature for GNU Automake if it is
      possible.<br>
      <br>
      When building programs and libraries with GNU Autotools (libtool,
      aclocal, automake, and autoconf) it is sometimes desirable to
      compile the same source with a custom compiler (other than CC,
      CXX, etc.).  A sample use case is to compile the same source file
      for multiple device accelerator architectures (CUDA, HIP, CPU,
      etc.) into a specific program or library.<br>
      <br>
      In this use case, the same source modules need to be compile and
      linked into a device specific program or library.  Since the same
      source would be compiled for multiple devices, it would be
      advantageous to compile the source with multiple compilers within
      a single Makefile.am.  The desire would be to specify the compiler
      on a per-program (or per-library) basis in keeping with the
      ability to specify program and library variables (`maude_CFLAGS',
      `maude_LINK', etc.).  The suggestion would be to add new variables
      (`maude_CC', `maude_CXX', etc.) and use those in the custom object
      targets (`maude-%.o: %.c' where the stem is expanded) in place of
      $(CC), $(CXX), etc..<br>
      <br>
      An example Makefile.am would contain the following:<br>
    </p>
    <font face="monospace">lib_LTLIBRARIES = libcpu.la libcuda.la
      libhip.la<br>
      <br>
      my_SRCS = source.c</font><br>
    <br>
    <font face="monospace">libcpu_la_SOURCES = $(my_SRCS)</font><br>
    <font face="monospace">libcpu_la_CFLAGS =</font><br>
    <font face="monospace"></font><br>
    <font face="monospace">
      libcuda_la_SOURCES = $(my_SRCS)</font><br>
    <font face="monospace">
      libcuda_la_CFLAGS = -Wc,-x,cu -Wc,-dc</font><br>
    <font face="monospace">libcuda_la_CC = nvcc<br>
    </font><font face="monospace"></font><br>
    <font face="monospace">libhip_la_SOURCES = $(my_SRCS)</font><br>
    <font face="monospace">
      libhip_la_CFLAGS = -Wc,-fgpu-rdc -Wc,-dc<br>
      libhip_la_LDFLAGS = -Wc,-fgpu-rdc,--hip-link</font><br>
    <font face="monospace">libhip_la_CC = hipcc</font><br>
    <p></p>
    <p>And, as an example, the generated rule for compiling source.c for
      libcuda.la would be generated as ($CC replaced with
      $libcuda_la_CC):</p>
    <font face="monospace">libcuda_la-source.lo: source.c<br>
              $(AM_V_CC)$(LIBTOOL) $(AM_V_lt) --tag=CC
      $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) --mode=compile $(libcuda_la_CC)
      $(DEFS) $(DEFAULT_INCLUDES) $(INCLUDES) $(AM_CPPFLAGS) $(CPPFLAGS)
      $(libcuda_la_CFLAGS) $(CFLAGS) -MT libcuda_la-source.lo -MD -MP
      -MF $(DEPDIR)/libcuda_la-source.Tpo -c -o libcuda_la-source.lo
      `test -f 'source.c' || echo '$(srcdir)/'`source.c<br>
              $(AM_V_at)$(am__mv) $(DEPDIR)/libcuda_la-source.Tpo
      $(DEPDIR)/libcuda_la-source.Plo<br>
      #       $(AM_V_CC)source='source.c' object='libcuda_la-source.lo'
      libtool=yes \<br>
      #       DEPDIR=$(DEPDIR) $(CCDEPMODE) $(depcomp) \<br>
      #       $(AM_V_CC_no)$(LIBTOOL) $(AM_V_lt) --tag=CC
      $(AM_LIBTOOLFLAGS) $(LIBTOOLFLAGS) --mode=compile $(libcuda_la_CC)
      $(DEFS) $(DEFAULT_INCLUDES) $(INCLUDES) $(AM_CPPFLAGS) $(CPPFLAGS)
      $(libcuda_la_CFLAGS) $(CFLAGS) -c -o libcuda_la-source.lo `test -f
      'source.c' || echo '$(srcdir)/'`source.c</font><br>
    <p>Is this possible and acceptable?<br>
      <br>
      If there is another way to accomplish this task, I am open to it. 
      However, I have researched the topic with documentation searches
      and failed AI chats and have not discovered an elegant solution.</p>
    <p>Thank you for all of the great work,</p>
    <p><br>
    </p>
    <p>Bill<br>
    </p>
    <div class="moz-signature">-- <br>
      <img src="cid:[email protected]" border="0"></div>
  </body>
</html>
--------------6MoZzjrPWYMYzF9aTOlztBQo
Content-Type: image/png; name="signature.png"
Content-Disposition: inline; filename="signature.png"
Content-Id: <[email protected]>
Content-Transfer-Encoding: base64
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--------------6MoZzjrPWYMYzF9aTOlztBQo--

--------------i2Wrqozpqme7xXbSBM9GyB0L--