Sökning: "programming languages"
Visar resultat 1 - 5 av 173 avhandlingar innehållade orden programming languages.
1. Functional Polytypic Programming
Sammanfattning : 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. LÄS MER
2. Functional Polytypic Programming --- Use and Implementation
Sammanfattning : 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. LÄS MER
3. Embedded Languages for Data-Parallel Programming
Sammanfattning : 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. LÄS MER
4. Representation of Compositional Relational Programs
Sammanfattning : 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. LÄS MER
5. Compile-time Safety and Runtime Performance in Programming Frameworks for Distributed Systems
Sammanfattning : 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. LÄS MER