Search for dissertations about: "Programming Languages"
Showing result 1 - 5 of 170 swedish dissertations containing the words Programming Languages.
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1. Functional Polytypic Programming
Abstract : Many algorithms have to be implemented over and over again for different datatypes, either because datatypes change during the development of programs, or because the same algorithm is used for several datatypes. Examples of such algorithms are equality tests, pretty printers, and pattern matchers, and polytypic programming is a paradigm for expressing such algorithms. READ MORE
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2. Functional Polytypic Programming --- Use and Implementation
Abstract : Many functions have to be written over and over again for different datatypes, either because datatypes change during the development of programs, or because functions with similar functionality are needed on different datatypes. Examples of such functions are pretty printers, pattern matchers, equality functions, unifiers, rewriting functions, etc. READ MORE
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3. Embedded Languages for Data-Parallel Programming
Abstract : Computers today are becoming more and more parallel. General purpose processors (CPUs) have multiple processing cores and Single Instruction Multiple Data (SIMD) units for data-parallelism. Graphics processors (GPUs) bring massive parallelism at the cost of being harder to program than CPUs. READ MORE
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4. Representation of Compositional Relational Programs
Abstract : Usability aspects of programming languages are often overlooked, yet have a substantial effect on programmer productivity. These issues are even more acute in the field of Inductive Synthesis, where programs are automatically generated from sample expected input and output data, and the programmer needs to be able to comprehend, and confirm or reject the suggested programs. READ MORE
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5. Compile-time Safety and Runtime Performance in Programming Frameworks for Distributed Systems
Abstract : Distributed Systems, that is systems that must tolerate partial failures while exploiting parallelism, are a fundamental part of the software landscape today. Yet, their development and design still pose many challenges to developers when it comes to reliability and performance, and these challenges often have a negative impact on developer productivity. READ MORE