Sökning: "manycore architectures"
Visar resultat 1 - 5 av 10 avhandlingar innehållade orden manycore architectures.
1. Utilizing Heterogeneity in Manycore Architectures for Streaming Applications
Sammanfattning : In the last decade, we have seen a transition from single-core to manycore in computer architectures due to performance requirements and limitations in power consumption and heat dissipation. The first manycores had homogeneous architectures consisting of a few identical cores. LÄS MER
2. Hardware/Software Co-Design of Heterogeneous Manycore Architectures
Sammanfattning : In the era of big data, advanced sensing, and artificial intelligence, the required computation power is provided mostly by multicore and manycore architectures. However, the performance demand keeps growing. Thus the computer architectures need to continue evolving and provide higher performance. LÄS MER
3. 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
4. Energy-Efficient Computing over Streams with Massively Parallel Architectures
Sammanfattning : The rise of many-core processor architectures in the high-performance computing market answers to a constantly growing need of processing power to solve more and more challenging problems such as the ones in computing for big data. Fast computation is more and more limited by the very high power required and the management of the considerable heat produced. LÄS MER
5. 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