With the widespread application of Internet of Things (IoT) systems in various fields such as healthcare, transportation, and industrial production, the data transmission efficiency and network resource occupancy of s...
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Cloud computing is the practice of offering services like servers, storage, analytics, and databases to networks or computer systems worldwide. With enhanced technical infrastructure, Internet users can now use comput...
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Mobile edge computing (MEC) and terahertz (THz)-enabled communication systems are gaining significant attention for their potential to reduce user service delays in future mobile networks. This paper leverages user of...
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General Matrix Multiplication (GEMM) has a wide range of applications in scientific simulation and artificial intelligence. Although traditional libraries can achieve high performance on large regular-shaped GEMMs, th...
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ISBN:
(数字)9781665498562
ISBN:
(纸本)9781665498562
General Matrix Multiplication (GEMM) has a wide range of applications in scientific simulation and artificial intelligence. Although traditional libraries can achieve high performance on large regular-shaped GEMMs, they often behave not well on irregular-shaped GEMMs, which are often found in new algorithms and applications of high-performance computing (HPC). Due to energy efficiency constraints, low-power multicore digital signal processors (DSPs) have become an alternative architecture in HPC systems. Targeting multi-core DSPs in FT-m7032, a prototype CPU-DSPs heterogeneous processor for HPC, an efficient implementation - ftIMM - for three types of irregular-shaped GEMMs is proposed. FtIMM supports automatic generation of assembly micro-kernels, two parallelization strategies, and auto-tuning of block sizes and parallelization strategies. The experiments show that ftIMM can get better performance than the traditional GEMM implementations on multi-core DSPs in FT-m7032, yielding on up to 7.2x performance improvement, when performing on irregular-shaped GEMMs. And ftIMM on multi-core DSPs can also far outperform the open source library on multi-core CPUs in FT-m7032, delivering up to 3.1x higher efficiency.
A generation of orthogonal signals in single-phase systems, crucial for various applications such as power converters synchronization, faces challenges in handling disturbances like DC offset and low order harmonics p...
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In recent years, Integration of Photovoltaic (PV) cells with distributed networks play a crucial role due to their capability to enhance the sustainability of renewable natural energy resources. Even though there is a...
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The inference of large-sized images on Internet of Things (IoT) devices is commonly hindered by limited resources, while there are often stringent latency requirements for Deep Neural Network (DNN) inference. Currentl...
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This paper presents a distributed mission planning system that enables a team of autonomous underwater vehicles (AUVs) for effective underwater chlorophyll sampling. The proposed system is developed based on a distrib...
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ISBN:
(纸本)9798350372557
This paper presents a distributed mission planning system that enables a team of autonomous underwater vehicles (AUVs) for effective underwater chlorophyll sampling. The proposed system is developed based on a distributed algorithm that optimizes the real-time task allocation and mission planning of AUVs in a cooperative fashion while considering environmental and vehicular constraints to ensure efficient and coordinated sampling efforts. A realistic case study of a chlorophyll sampling mission in Australia's Great Barrier is utilized to investigate the performance of the proposed system in a restricted mission time and in the exposure to the uncertainty of the mission. Simulation studies confirm the effectiveness and resilience of the proposed system and showcase its potential as a valuable tool for advancing underwater chlorophyll sampling missions.
Recommendation systems are information filtering techniques and tools that give valuable and meaningful suggestions to users about items in which they may be interested by considering various attributes. In this resea...
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The evolution beyond the Fifth Generation (5G) of mobile communications systems is expected to exploit different advanced radio access techniques, such as distributed multiple input multiple output (D-MIMO), together ...
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