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Functional programming (FP) is regularly touted as the way forward for bringing parallel, concurrent, and distributed programming to the mainstream. The popularity of the rationale behind this viewpoint (immutable data transformed by function application) ...
Macros made their first appearance as a fork of the Scala compiler and then as an experimental feature in the version 2.10.0 of Scala. Since macros are normal Scala functions that are executed by the compiler during the compilation of their clients, they c ...
Parametric polymorphism enables code reuse and type safety. Underneath the uniform interface exposed to programmers, however, its low level implementation has to cope with inherently non-uniform data: value types of different sizes and semantics (bytes, in ...
In this paper we show a general mechanism, called self-assembly, for lightweight language extensions (LLEs). LLEs allow users to define generic operations or properties that operate over a large class of types. With LLEs it is possible, for example, for us ...
Interoperability between statically typed and dynamically typed languages is increasingly important, as can be witnessed by the many statically typed languages targeting JavaScript. Interoperating with both the object-oriented and functional features of Ja ...
Generic code increases programmer productivity as it increases code reuse. For example, the LinkedList abstraction can be used in many contexts, from storing a list of numbers to storing representations of files on the disk. Unfortunately this comes at the ...
Scala-Virtualized extends the Scala language to better support hosting embedded DSLs. Scala is an expressive language that provides a flexible syntax, type-level computation using implicits, and other features that facilitate the development of em- bedded ...
Compile-time metaprogramming has been proven immensely useful enabling programming techniques such as language virtualization, embedding of external DSLs, self-optimization, and boilerplate generation amongst many others. In the recent production release o ...
As more applications migrate to the cloud, and as “big data” edges into even more production environments, the performance and simplicity of exchanging data between compute nodes/devices is increasing in importance. An issue central to distributed programm ...
As more applications migrate to the cloud, and as "big data" edges into even more production environments, the performance and simplicity of exchanging data between compute nodes/devices is increasing in importance. An issue central to distributed programm ...
