TL;DR: This 471-page, softcover manual describes the programming language and software environment of the Lisp Machine developed at M.I.T.'s Artificial Intelligence Laboratory over the past 8 years.
Abstract: This 471-page, softcover manual describes the programming language and software environment of the Lisp Machine developed at M.I.T.'s Artificial Intelligence Laboratory over the past 8 years. The Lisp Machine is the result of a successful experiment in computer science: a distributed computing system consisting of a network of powerful 32-bit personal computers, implemented with custom hardware and software as complete, interactive graphical workstations. Each machine consists of a 32-bit computer with 64 megabytes of virtual memory, 1 to 16 megabytes of main memory, 80 megabytes (or larger) disk, 800x900 graphics display (color optional), mouse, keyboard, speaker and 4 million bit/second local network interface, which allows connections to other Lisp Machines, primers and file servers.
TL;DR: Mul-T as discussed by the authors is a parallel Lisp system based on Multilisp's future construct that has been developed to run on an Encore Multimax multiprocessor.
Abstract: Mul-T is a parallel Lisp system, based on Multilisp's future construct, that has been developed to run on an Encore Multimax multiprocessor. Mul-T is an extended version of the Yale T system and uses the T system's ORBIT compiler to achieve “production quality” performance on stock hardware — about 100 times faster than Multilisp. Mul-T shows that futures can be implemented cheaply enough to be useful in a production-quality system. Mul-T is fully operational, including a user interface that supports managing groups of parallel tasks.
TL;DR: An introduction to LISP is given on an elementary level and Topics covered include the programming system, 240 exercises with solutions, debugging of LISp programs, and styles of programming.
Abstract: : An introduction to LISP is given on an elementary level. Topics covered include the programming system, 240 exercises with solutions, debugging of LISP programs, and styles of programming. More advanced discussions are contained in the following articles: Techniques using LISP for automatically discovering interesting relations in data; Automation, using LISP, of inductive inference on sequences; Application of LISP to machine checking of mathematical proofs; METEOR: A LISP interpreter for string transformations; Notes on implementing LISP for the M-460 computer; LISP as the language for an incremental computer; The LISP system for the Q-2 computer; An auxiliary language for more natural expression -- the A-language. Some applications of the utilization of the LISP programming language are given in the appendices.