Synchronization algorithms for concurrent data structures on manycore embedded systems Brief Discription: Modern multicore embedded systems integrate a large number of CPU cores, which require efficient synchronization methods for accessing shared data. Algorithms that have been proposed in the High Performance Computing domain cannot be applied directly to the embedded systems, due to the limitations they impose, such as the energy consumption and limited support for atomic operations. On the other hand, the traditional synchronization methods, like mutexes and spinlocks provide poor scalability and high energy consumption and therefore are inefficient for the modern low power embedded systems. The scope of this thesis is to develop new sy...
Programming embedded systems applications involve writing concurrent, event-driven and timing-aware ...
Many-core architectures are becoming a standard design alternative for embedded systems. The force t...
Embedded computing platforms require to support complex functionalities with high computational thro...
The constantly increasing computational power of the embedded systems is based on the integration of...
Abstract-The constantly increasing computational power of the embedded systems is based on the integ...
Synchronization is a central issue in concurrency and plays an important role in the behavior and pe...
Embedded systems are becoming increasingly common in everyday life and like their general-purpose co...
This paper investigates optimized synchronization techniques for shared memory on-chip multiprocesso...
his paper addresses the problem of universal synchronization primitives that can support scalable th...
With the proliferation of multi-processor core systems, parallel programming imposes a difficult cha...
Multi-core CPUs have become the standard in embedded real-time systems. In such systems, where sever...
Conference of 16th Design, Automation and Test in Europe Conference and Exhibition, DATE 2013 ; Conf...
Parallelism plays a significant role in high-performance computing systems, from large clusters of c...
Single chip multicore processors are now prevalent and processors with hundreds of cores are being p...
High-end embedded systems such as smart phones, game consoles, GPS-enabled automotive systems, and h...
Programming embedded systems applications involve writing concurrent, event-driven and timing-aware ...
Many-core architectures are becoming a standard design alternative for embedded systems. The force t...
Embedded computing platforms require to support complex functionalities with high computational thro...
The constantly increasing computational power of the embedded systems is based on the integration of...
Abstract-The constantly increasing computational power of the embedded systems is based on the integ...
Synchronization is a central issue in concurrency and plays an important role in the behavior and pe...
Embedded systems are becoming increasingly common in everyday life and like their general-purpose co...
This paper investigates optimized synchronization techniques for shared memory on-chip multiprocesso...
his paper addresses the problem of universal synchronization primitives that can support scalable th...
With the proliferation of multi-processor core systems, parallel programming imposes a difficult cha...
Multi-core CPUs have become the standard in embedded real-time systems. In such systems, where sever...
Conference of 16th Design, Automation and Test in Europe Conference and Exhibition, DATE 2013 ; Conf...
Parallelism plays a significant role in high-performance computing systems, from large clusters of c...
Single chip multicore processors are now prevalent and processors with hundreds of cores are being p...
High-end embedded systems such as smart phones, game consoles, GPS-enabled automotive systems, and h...
Programming embedded systems applications involve writing concurrent, event-driven and timing-aware ...
Many-core architectures are becoming a standard design alternative for embedded systems. The force t...
Embedded computing platforms require to support complex functionalities with high computational thro...