The OpenLDK is very interesting - it looks like it “compiles” to the vintage procedural dialect within CL (eg TAGBODY etc.) I wonder if someone’s ever bypassed the “procedural Lisp” level and just used a CL implementation’s internal assembler interactively, though. (IIRC both SBCL and CCL expose theirs.)
TAGBODY/GO are broadly used in advanced Lisp macros. If you expand a non-trivial extended LOOP invocation you'd likely see some.
If you compile to an implemenation's assembler (even where that possible) you don't really compile into Lisp anymore. And really the Lisp compiler is going to do a better job at generating machine code.
RMS itself being a diehard Scheme and Elisp user said that he found Java elegant over C. This was OFC long before Go and when C++ was king in the 90's.
On Java itself, when CLOS, a dog-ancient system for Common Lisp it's enough to support the Java class/method/object system by itself tells a lot on how great CL can be, even with SBCL which is the top tier free (as in freedom) interpreter/compiler out there.
On performance, well, who knows; remember that PyPy itself back in the day was written in Python itself and it ran things much faster than the vanilla Python interpreter.
The Computer Abstractions book/course for Scheme had some kind of VM written in Java where you had to write an assembler in Scheme as the final 'biggie' project.
If you compile to an implemenation's assembler (even where that possible) you don't really compile into Lisp anymore. And really the Lisp compiler is going to do a better job at generating machine code.
"We were after the C++ programmers. We managed to drag a lot of them about halfway to Lisp." -- Guy Steele
On Java itself, when CLOS, a dog-ancient system for Common Lisp it's enough to support the Java class/method/object system by itself tells a lot on how great CL can be, even with SBCL which is the top tier free (as in freedom) interpreter/compiler out there.
On performance, well, who knows; remember that PyPy itself back in the day was written in Python itself and it ran things much faster than the vanilla Python interpreter.