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Bulk bitwise operations, i.e., bitwise operations on large bit vectors, are prevalent in a wide range of important application domains, including databases, graph processing, genome analysis, cryptography, and hyper-dimensional computing. In ...

To minimize unnecessary data movements from storage to a host, processing-in-storage (PiS) techniques, which move a compute unit to storage, have been proposed. In this position paper, we propose an extreme version of PiS solutions, called a processing-...

3D NAND flash memory with advanced multi-level cell techniques provides high storage density, but suffers from significant performance degradation due to a large number of read-retry operations. Although the read-retry mechanism is essential to ensuring ...

NAND flash memory has revolutionized how we manage data in modern digital systems, significant improvements are needed in flash-based storage systems to meet the requirements of emerging data-intensive applications. In this paper, we address the problem ...

As data privacy and security rapidly become key requirements, securely erasing data from a storage system becomes as important as reliably storing data in the system. Unfortunately, in modern flash-based storage systems, it is challenging to ...

3D NAND flash memory exhibits two contrasting process characteristics from its manufacturing process. While process variability between different horizontal layers are well known, little has been systematically investigated about strong process ...

Recent advances in flash technologies, such as scaling and multi-leveling schemes, have been successful to make flash denser and secure more storage spaces per die. Unfortunately, these technology advances significantly degrade flash's reliability due to ...

Recent NAND flash devices have large page sizes. Although large pages are useful in increasing the flash capacity, they can degrade both the performance and lifetime of flash storage systems when small writes are dominant. We propose a new NAND ...

Highlights A noble approach to fine-tuning the architecture of NN (neural networks) is proposed. The newly tuned neural networks model significantly outperforms other competing models. The method reflects the nonlinear characteristics of the input ...

The objectives of this study are to apply unexpectedness to the behavioral design of an entertainment robot and to evaluate the impression and satisfaction provided by the robot. Participants(N=44) observed four robot behaviors, which are distinguished ...

The objective of this study is to examine the effect of intergroup relations on robots through comparison with other objects. In an experiment, participants watched eight stimuli drawn from four types of objects (people vs. robots vs. animals vs. ...

This study describes preliminary research for designing a growing robot. To explore the interaction between a human and an object that changes physically through its growth, focus group interviews were conducted with participants who kept pets, plants, ...

A regression-based consistent estimation method for the drift function in some continuous time models is suggested, and its limiting distribution is derived. The accuracy of the new estimation method is examined via some finite sample Monte Carlo ...