Sorting and ranking supervision is a method for training neural networks end-to-end based
on ordering constraints. That is, the ground truth order of sets of samples is known, while …

Exploring the sharing opportunities among multiple stream queries is crucial for high-
performance stream processing. Modern stream processing necessitates accelerating …

Heterogeneous architectures are vastly used in various high performance computing
systems from IoT‐based embedded architectures to edge and cloud systems. Although …

Heterogeneous systems with multiple different compute devices have come into common
use recently, and the heterogeneity of the compute device is mainly reflected in three …

In this work, we design a parallel algorithm of the Block-InsertionSort (BiS) method by taking
advantage of the high degree of parallelization that BiS offers, which performs multiple …

Computing the periods of variable objects is well-known to be computationally expensive.
Modern astronomical catalogs contain a significant number of observed objects. Therefore …

Abstract The High-energy Fragment Separator (HFRS), which is currently under
construction, is a leading international radioactive beam device. Multiple sets of position …

The emerging trends in data industry, particularly those related to the repeated processing of
data streams, are pushing the limits of computer systems and processes. Among them, the …

Many database operations have a low compute to memory access ratio. In heterogeneous
systems, where a graphics processing unit (GPU) is interconnected via PCIe, the data …

Bioinformatics is a domain that has experienced rapid research growth in recent years, as
evidenced by the increasing number of articles in biomedical databases such as PubMed …