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Petr Kurapov,Daniil Kulikov,Areg Melik-Adamyan
Pág. 61 - 70
Analytical query performance improvement can be achieved via efficient work distribution among devices of a heterogeneous system. The resulting performance gain highly depends on the ability of an optimizer to compare execution plans. One way to manage t...
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Manoj Poudel, Rashmi P. Sarode, Yutaka Watanobe, Maxim Mozgovoy and Subhash Bhalla
The rise of big data has resulted in the proliferation of numerous heterogeneous data stores. Even though multiple models are used for integrating these data, combining such huge amounts of data into a single model remains challenging. There is a need in...
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Atousa Jafari, Christopher Münch and Mehdi Tahoori
Computing data-intensive applications on the von Neumann architecture lead to significant performance and energy overheads. The concept of computation in memory (CiM) addresses the bottleneck of von Neumann machines by reducing the data movement in the c...
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Huy Manh Nguyen, Tomo Miyazaki, Yoshihiro Sugaya and Shinichiro Omachi
Visual-semantic embedding aims to learn a joint embedding space where related video and sentence instances are located close to each other. Most existing methods put instances in a single embedding space. However, they struggle to embed instances due to ...
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Armin Lawi, Benny L. E. Panggabean and Takaichi Yoshida
Currently, most middleware application developers have two choices when designing or implementing Application Programming Interface (API) services; i.e., they can either stick with Representational State Transfer (REST) or explore the emerging GraphQL te...
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