**Partial Evaluation and Automatic Program Generation**

by Neil D. Jones, Carsten K. Gomard, Peter Sestoft

**Publisher**: Prentice Hall 1993**ISBN/ASIN**: 0130202495**ISBN-13**: 9780130202499**Number of pages**: 400

**Description**:

This book is about partial evaluation, a program optimization technique also known as program specialization. It presents general principles for constructing partial evaluators for a variety of programming languages, and it gives examples of applications and numerous references to the literature. Partial evaluation works with program texts rather than mathematical functions: a partial evaluator is an algorithm which, when given a program and some of its input data, produces a so-called residual or specialized program. Running the residual program on the remaining input data will yield the same result as running the original program on all of its input data.

Download or read it online for free here:

**Download link**

(1.7MB, PDF)

## Similar books

**Concrete Semantics: With Isabelle/HOL**

by

**Tobias Nipkow, Gerwin Klein**-

**Springer**

The book teaches the reader the art of precise logical reasoning and the practical use of a proof assistant as a tool for formal proofs about computer science artefacts. All the mathematics is formalised in Isabelle and much of it is executable.

(

**2138**views)

**Linkers and Loaders**

by

**John R. Levine**-

**Morgan Kaufmann**

The author presents clear practical advice to help you create faster, cleaner code. You'll learn to avoid the pitfalls associated with Windows DLLs, take advantage of the performance-improving techniques supported by many modern linkers, etc.

(

**5035**views)

**Practical Foundations for Programming Languages**

by

**Robert Harper**

This is a book on the foundations of programming languages. The emphasis is on the concept of type, which organizes the computational universe in the same way that the concept of set may be seen as an organizing principle for mathematics.

(

**11504**views)

**The Design and Implementation of Probabilistic Programming Languages**

by

**Noah D. Goodman, Andreas Stuhlmüller**-

**dippl.org**

This book explains how to implement PPLs by lightweight embedding into a host language. We illustrate this by designing WebPPL, a small PPL embedded in Javascript. We show how to implement several algorithms for universal probabilistic inference.

(

**1413**views)