Sökning: "Structured Parallelism"
Visar resultat 1 - 5 av 6 avhandlingar innehållade orden Structured Parallelism.
1. Language Constructs for Safe Parallel Programming on Multi-Cores
Sammanfattning : The last decade has seen the transition from single-core processors to multi-cores and many-cores. This move has by and large shifted the responsibility from chip manufacturers to programmers to keep up with ever-increasing expectations on performance. LÄS MER
2. Integrated Optimal Code Generation for Digital Signal Processors
Sammanfattning : In this thesis we address the problem of optimal code generation for irregular architectures such as Digital Signal Processors (DSPs).Code generation consists mainly of three interrelated optimization tasks: instruction selection (with resource allocation), instruction scheduling and register allocation. LÄS MER
3. ForSyDe-Atom: Design of Heterogeneous Embedded Systems : Taming Complexity with Layers, Atoms and Patterns
Sammanfattning : The design of embedded systems is inherently complex for two main reasons. Firstly, it entails the combined knowledge and results from a vast set of mature, well-established, yet separate disciplines, such as electrical engineering, computer science, mechanical engineering, etc. LÄS MER
4. Models and Methods for Development of DSP Applications on Manycore Processors
Sammanfattning : Advanced digital signal processing systems require specialized high-performance embedded computer architectures. The term high-performance translates to large amounts of data and computations per time unit. The term embedded further implies requirements on physical size and power efficiency. LÄS MER
5. Performance Optimization Techniques and Tools for Data-Intensive Computation Platforms : An Overview of Performance Limitations in Big Data Systems and Proposed Optimizations
Sammanfattning : Big data processing has recently gained a lot of attention both from academia and industry. The term refers to tools, methods, techniques and frameworks built to collect, store, process and analyze massive amounts of data. Big data can be structured, unstructured or semi-structured. LÄS MER