Sökning: "task parallelism"
Visar resultat 1 - 5 av 40 avhandlingar innehållade orden task parallelism.
1. Understanding Task Parallelism : Providing insight into scheduling, memory, and performance for CPUs and Graphics
Sammanfattning : Maximizing the performance of computer systems while making them more energy efficient is vital for future developments in engineering, medicine, entertainment, etc. However, the increasing complexity of software, hardware, and their interactions makes this task difficult. LÄS MER
2. Towards Runtime-Assisted Cache Management for Task-Parallel Programs
Sammanfattning : Architects have adopted the shared memory model that implicitly manages cache coherence and cache capacity in hardware, mainly to aid programmability of multi-core architectures. The hardware mechanisms are however prone to inefficiencies because they are not tailored to the behavior of individual parallel applications. LÄS MER
3. Mapping Concurrent Applications to Multiprocessor Systems with Multithreaded Processors and Network on Chip-Based Interconnections
Sammanfattning : Network on Chip (NoC) architectures provide scalable platforms for designing Systems on Chip (SoC) with large number of cores. Developing products and applications using an NoC architecture offers many challenges and opportunities. A tool which can map an application or a set of applications to a given NoC architecture will be essential. LÄS MER
4. Effective cooperative scheduling of task-parallel applications on multiprogrammed parallel architectures
Sammanfattning : Emerging architecture designs include tens of processing cores on a single chip die; it is believed that the number of cores will reach the hundreds in not so many years from now. However, most common parallel workloads cannot fully utilize such systems. LÄS MER
5. Cooperative user- and system-level scheduling of task-centric parallel programs
Sammanfattning : Emerging architecture designs include tens of processing cores on a single chip die; it is believed that the number of cores will reach the hundreds in not so many years from now. However, most common workloads cannot expose fluctuating parallelism, insufficient to utilize such systems. LÄS MER