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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 ...
This thesis presents two approaches to code generation (synthesis) along with a discussion of other related and influential works, their ideas and relations to these approaches. The common goal of these approaches is to efficiently and effectively assist d ...
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) ...
We present the Leon verification system for a subset of the Scala programming language. Along with several functional features of Scala, Leon supports imperative constructs such as mutations and loops, using a translation into recursive functional form. Bo ...
Writing accurate numerical software is hard because of many sources of unavoidable uncertainties, including finite numerical precision of implementations. We present a programming model where the user writes a program in a real-valued implementation and sp ...
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 large-scale theft of data from corporate servers is becoming increasingly common, it becomes interesting to examine alternatives to the paradigm of centralizing sensitive data into large databases. Instead, one could use cryptography and distributed com ...
We present CafeSat, a SAT solver written in the Scala programming language. CafeSat is a modern solver based on DPLL and featuring many state-of-the-art techniques and heuristics. It uses two-watched literals for Boolean constraint propagation, conflict-dr ...
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 ...
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 ...
