Sökning: "Hardware architectures"
Visar resultat 21 - 25 av 145 avhandlingar innehållade orden Hardware architectures.
21. Reference Architectures for Highly Automated Driving
Sammanfattning : Highly automated driving systems promise increased road traffic safety, as well as positive impacts on sustainable transportation by means of increased traffic efficiency and environmental friendliness. The design and development of such systems require scientific advances in a number of areas. LÄS MER
22. Adaptive Resource Management Techniques for High Performance Multi-Core Architectures
Sammanfattning : Reducing the average memory access time is crucial for improving the performance of applications executing on multi-core architectures. With workload consolidation this becomes increasingly challenging due to shared resource contention. Previous works has proposed techniques for partitioning of shared resources (e.g. LÄS MER
23. Adaptive Microarchitectural Optimizations to Improve Performance and Security of Multi-Core Architectures
Sammanfattning : With the current technological barriers, microarchitectural optimizations are increasingly important to ensure performance scalability of computing systems. The shift to multi-core architectures increases the demands on the memory system, and amplifies the role of microarchitectural optimizations in performance improvement. LÄS MER
24. Design Principles of Fly-By-Wire Architectures
Sammanfattning : Development of embedded real-time systems is highly specialized and time consuming. For instance, Control-By-Wire Systems will continue to face increased requirements on flexibility, scalability, low weight, predictability and testability, at reduced complexity and maintenance costs. LÄS MER
25. Trellis Decoding: From Algorithm to Flexible Architectures
Sammanfattning : Trellis decoding is a popular method to recover encoded information corrupted during transmission over a noisy channel. Prominent members of this class of decoding algorithms are the Viterbi algorithm, which provides maximum likelihood estimates, and the BCJR algorithm, which is a maximum a posteriori estimator commonly used in iterative decoding. LÄS MER