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Consequently, we implement a thread mapping module in a bulk data transfer software, BBCP, as a practical example of enabling NUMA-awareness.
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In addition, four threads are implemented, a main thread receiving messages from the input modules, and the others are intended to schedule and send messages, and control the charge of the node.
This time consuming task is accelerated by implementing a multi-thread dispatch program in Java, PalmMonitor.
In addition to the original A* search algorithm in OSPREY (Gainza et al., 2013) and our parallel design algorithm GA*, we also implemented a single-thread version of the A* search algorithm on a CPU in C programming language using the new strategy of computing heuristic functions, as we have described in Section 2.2.1.
Multi-threading is implemented using a thread pool, shared by both encoding and decoding tasks.
In object-oriented program design language, often use the thread to implement an application program parallelism, however, synchronization and communication between threads are often very complicated to implement and can not take full advantage of multi-core advantage.
Each thread implements a state of the art metaheuristic, the enhanced Scatter Search algorithm (eSS).
To address this gap, we designed and implemented a medication reconciliation and optimization thread as a key component in a Patient Centered Medical Home (PCMH) longitudinal curriculum, a new elective at our institution.
We implemented a software GNSS receiver with processes implemented as threads and used that to analyze the GNSS application communication payload for individual links.
Implementing an 8-point FFT in a single thread, as using real and complex values would require all 16 available registers.
Thirdly, we implemented an additional analysis program that presents the interactions of threads across different systems.
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