During a meeting in Toronto last winter, Mike Jenkins, Bob Bernecky and I were discussing how the two existing theories on arrays influenced or were in fluenced by programming languages and systems. More's Army Theory was the basis for NIAL and APL2 and Mullin's A Mathematics of A rmys(MOA) , is being used as an algebra of arrays in functional and A-calculus based pro gramming languages. MOA was influenced by Iverson's initial and extended algebra, the foundations for APL and J respectively. We discussed that there is a lot of interest in the Computer Science and Engineering communities concerning formal methods for languages that could support massively parallel operations in scientific computing, a back to-roots interest for both Mike and myself. Languages for this domain can no longer be informally developed since it is necessary to map languages easily to many multiprocessor architectures. Software systems intended for parallel computation require a formal basis so that modifications can be done with relative ease while ensuring integrity in design. List based lan guages are profiting from theoretical foundations such as the Bird-Meertens formalism. Their theory has been successfully used to describe list based parallel algorithms across many classes of architectures.

The Functional Programming Group at the University of Glasgow was started in 1986 by John Hughes and Mary Sheeran. Since then it has grown in size and strength, becoming one of the largest computing science research groups at Glasgow and earning an international reputation. The first Glasgow Functional Programming Workshop was organised in the summer of 1988. Its purpose was threefold: to provide a snapshot of all the research going on within the group, to share research ideas between Glaswegians and colleagues in the U.K. and abroad, and to introduce research students to the art of writing and presenting papers at a semi-formal (but still local and friendly) conference. The success of the first workshop has led to an annual series: Rothesay (1988), Fraserburgh (1989), Ullapool (1990). Portree (1991), Ayr (1992), and the workshop reported in these proceedings: Ayr (1993). Most participants wrote a paper that appeared in the draft proceedings (distributed at the workshop), and each draft paper was presented by one of the authors. The papers were all refereed by several other participants at the workshop, both internal and external, and the programme committee selected papers for these proceedings. Most papers have been revised twice, based firstly on feedback at the workshop, and secondly using the referee reports.

This volume presents eight carefully revised texts of selected lectures given by leading researchers of the field at the first Central European Functional Programming School, CEFP 2005, held in Budapest, Hungary, in July 2005. The eight revised full papers presented were carefully selected during two rounds of reviewing and improvement for inclusion in the book. The lectures cover a wide range of topics such as new programming language concepts for subtyping.

"The Encyclopedia of Microcomputers serves as the ideal companion reference to the popular Encyclopedia of Computer Science and Technology. Now in its 10th year of publication, this timely reference work details the broad spectrum of microcomputer technology, including microcomputer history; explains and illustrates the use of microcomputers throughout academe, business, government, and society in general; and assesses the future impact of this rapidly changing technology."

This book presents the refereed proceedings of the Eighth Annual Workshop on Languages and Compilers for Parallel Computing, held in Columbus, Ohio in August 1995. The 38 full revised papers presented were carefully selected for inclusion in the proceedings and reflect the state of the art of research and advanced applications in parallel languages, restructuring compilers, and runtime systems. The papers are organized in sections on fine-grain parallelism, interprocedural analysis, program analysis, Fortran 90 and HPF, loop parallelization for HPF compilers, tools and libraries, loop-level optimization, automatic data distribution, compiler models, irregular computation, object-oriented and functional parallelism.

The papers in this volume are a good sampling and overview of current solutions to the problems of creating graphically based systems. This breadth of scope comes out of the closing discussion at the Fourth Eurographics Workshop on Object-Oriented Graphics. The fifth workshop, on Programming Paradigms in Graphics, set out to provide answers and alternatives to the shortcomings of object-oriented graphics. The presentations investigated the applicability, merits and problems of various programming paradigms in computer graphics for design, modelling and implementation. This book contains a revised selection of the best papers from the Fifth Eurograph ics Workshop on Programming Paradigms in Graphics, held 2-3 September 1995 in Maastricht, The ~etherlands. All papers at the workshop were subjected to a thorough review by at least three members of the international programme committee. The se lection for this book was based on further review and the papers also incorporate the relevant aspects of the discussions at the workshop. In past Eurographics workshops on Object-Oriented Graphics the prominent trend has been a discovery of the limits of object-orientation in graphics. The limitations of object-orientation were felt to lie in such areas as the expression of relationships between objects. This is an area of particular strength for the declarative languages, such as constraint-based languages. On the other hand, a notion of state has long been a problem in declarative languages and yet it is often seen as an essential aspect of graphical modelling, particularly in simulation and animation.

This book constitutes the refereed proceedings of the 12th International Conference on Parallel Computing, Euro-Par 2006. The book presents 110 carefully reviewed, revised papers. Topics include support tools and environments; performance prediction and evaluation; scheduling and load balancing; compilers for high performance; parallel and distributed databases, data mining and knowledge discovery; grid and cluster computing: models, middleware and architectures; parallel computer architecure and instruction-level parallelism; distributed systems and algorithms, and more.

In light of research over the last decade on new ways of representing and performing computations, this book provides a timely reexamination of computer organization and computer architecture. It systematically investigates the basic organizational concepts of reduction, data flow, and control flow (or state transition) and their relationship to the underlying programming paradigms. For each of these concepts, Kluge looks at how princip1es of language organization translate into architectures and how architectural features translate into concrete system implementations, comparing them in order to identify their similarities and differences. The focus is primarily on a functional programming paradigm based on a full-fledged operational &-calculus and on its realization by various reduction systems. Kluge first presents a brief outline of the overall configuration of a computing system and of an operating system kernel, introduce elements of the theory of Petrinets as modeling tools for nonsequential systems and processes, and use a simple form of higher-order Petri nets to identify by means of examples the operational and control disciplines that govern the organization of reduction, data flow, and control flow computations. He then introduces the notions of abstract algorithms and of reductions and includes an overview of the theory of the &-calculus. The next five chapters describe the various computing engines that realize the reduction semantics of a full-fledged &-calculus. The remaining chapters provide self-contained investigations of the G-machine, SKI combinator reduction, and the data flow approach for implementing the functional programming paradigm. This is followed by a detailed description of a typical control flow (or von Neumann) machine architecture (a VAX11 system). Properties of these machines are summarized in the concluding chapter, which classifies them according to the semantic models they support.

Programming is hard. Building a large program is like constructing a steam locomotive through a hole the size of a postage stamp. An artefact that is the fruit of hundreds of person-years is only ever seen by anyone through a lOO-line window. In some ways it is astonishing that such large systems work at all. But parallel programming is much, much harder. There are so many more things to go wrong. Debugging is a nightmare. A bug that shows up on one run may never happen when you are looking for it - but unfailingly returns as soon as your attention moves elsewhere. A large fraction of the program's code can be made up of marshalling and coordination algorithms. The core application can easily be obscured by a maze of plumbing. Functional programming is a radical, elegant, high-level attack on the programming problem. Radical, because it dramatically eschews side-effects; elegant, because of its close connection with mathematics; high-level, be cause you can say a lot in one line. But functional programming is definitely not (yet) mainstream. That's the trouble with radical approaches: it's hard for them to break through and become mainstream. But that doesn't make functional programming any less fun, and it has turned out to be a won derful laboratory for rich type systems, automatic garbage collection, object models, and other stuff that has made the jump into the mainstream.