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50 lines
2.2 KiB
Plaintext
50 lines
2.2 KiB
Plaintext
OVERVIEW:
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Objective Caml is an implementation of the ML language, based on
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the Caml Light dialect extended with a complete class-based object system
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and a powerful module system in the style of Standard ML.
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Objective Caml comprises two compilers. One generates bytecode
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which is then interpreted by a C program. This compiler runs quickly,
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generates compact code with moderate memory requirements, and is
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portable to essentially any 32 or 64 bit Unix platform. Performance of
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generated programs is quite good for a bytecoded implementation:
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almost twice as fast as Caml Light 0.7. This compiler can be used
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either as a standalone, batch-oriented compiler that produces
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standalone programs, or as an interactive, toplevel-based system.
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The other compiler generates high-performance native code for a number
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of processors. Compilation takes longer and generates bigger code, but
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the generated programs deliver excellent performance (better than
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Standard ML of New Jersey 1.09 on our tests), while retaining the
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moderate memory requirements of the bytecode compiler. The native-code
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compiler currently runs on the following platforms:
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Alpha processors: all Digital Alpha machines under Digital Unix or Linux
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Sparc processors: Sun Sparc under SunOS 4.1, Solaris 2, NetBSD, Linux
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Intel Pentium processors: PCs under Linux, NextStep, FreeBSD, Solaris 2
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Mips processors: SGI workstations and mainframes under IRIX 6
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HP PA-RISC processors: HP 9000/700 under HPUX 9 and NextStep
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PowerPC processors: IBM RS6000 and PowerPC workstations under AIX 3.2,
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PowerMacintosh under MkLinux, LinuxPPC, Rhapsody
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Motorola 680x0 processors: Sun 3 under SunOS
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Strong ARM processors: Corel Netwinder under Linux
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DOCUMENTATION:
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The Objective Caml manual is distributed in HTML, PDF, Postscript, and
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DVI. It can be obtained by anonymous FTP from ftp.inria.fr as
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described below. It is also available on the World Wide Web, at
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WWW: http://caml.inria.fr/ocaml/
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AVAILABILITY:
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The complete Objective Caml distribution resides on ftp.inria.fr,
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and can be accessed by anonymous FTP:
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host: ftp.inria.fr (192.93.2.54)
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directory: lang/caml-light
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or through a Web browser at ftp://ftp.inria.fr/lang/caml-light/
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