Sökning: "task parallelism"
Visar resultat 6 - 10 av 40 avhandlingar innehållade orden task parallelism.
6. Scientific Computing on Multicore Architectures
Sammanfattning : Computer simulations are an indispensable tool for scientists to gain new insights about nature. Simulations of natural phenomena are usually large, and limited by the available computer resources. LÄS MER
7. Locality-aware Scheduling and Characterization of Task-based Programs
Sammanfattning : Modern computer architectures expose an increasing number of parallel features supported by complex memory access and communication structures. Currently used task scheduling techniques perform poorly since they focus solely on balancing computation load across parallel features and remain oblivious to locality properties of support structures. LÄS MER
8. Improving the efficiency of eigenvector-related computations
Sammanfattning : An effective strategy in dense linear algebra is the design of algorithms as tiled algorithms. Tiled algorithms that express the bulk of the computation as matrix-matrix operations (level-3 BLAS) have proven successful in achieving high performance on cache-based architectures. LÄS MER
9. Energy Efficient Task Mapping and Resource Management on Multi-core Architectures
Sammanfattning : Reducing energy consumption of parallel applications executing on chip multi- processors (CMPs) is important for green computing. Hardware vendors have been developing a variety of system features to support energy efficient computing, for example, integrating asymmetric core types on a single chip referred to as static asymmetry and supporting dynamic voltage and frequency scaling (DVFS) referred to as dynamic asymmetry. LÄS MER
10. Parallel Data Streaming Analytics in the Context of Internet of Things
Sammanfattning : We are living in an increasingly connected world, where the ubiquitously sensing technologies enable inter-connection of physical objects, as part of Internet of Things (IoT), and provide continuous massive amount of data. As this growth soars, benefits and challenges come together, which requires development of right tools in order to extract valuable information from data. LÄS MER