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Published in 2019 at "Biology of Blood and Marrow Transplantation"
DOI: 10.1016/j.bbmt.2018.12.207
Abstract: Submission of transplant center data to CIBMTR commonly involves manual transcription of center data derived from departmental databases, EMR, or other institutional systems to FormsNetR (72%) or vendor/institutional applications (19%). This transcription method is expensive,…
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Keywords:
data transfer;
sct institutional;
direct data;
institutional systems ... See more keywords
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Published in 2021 at "Nuclear Engineering and Technology"
DOI: 10.1016/j.net.2021.01.006
Abstract: Abstract In this paper, the coupling of fine-mesh computational fluid dynamics (CFD) thermal-hydraulics (TH) code and neutronics code is achieved using the Ansys Fluent User Defined Function (UDF) for code development, including parallel meshing mapping,…
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Keywords:
data transfer;
coupling computation;
mapping data;
cfd schemes ... See more keywords
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Published in 2017 at "IEEE Access"
DOI: 10.1109/access.2017.2651804
Abstract: Mindful of several recent developments in the area of wireless optical data transfer over long and short distances, we present a novel technique to transmit data using an optical carrier. With this technique, the irradiance…
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Keywords:
irradiance modulation;
gaussian beam;
transfer;
data transfer ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3063295
Abstract: Reliable data transfer seems a quite challenging task in Underwater Wireless Sensor Networks (UWSN) in comparison with Terrestrial Wireless Sensor Networks due to the peculiar attributes of UWSN communication. However, the reliable data transmission in…
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Keywords:
wireless sensor;
data transfer;
cluster;
reliable data ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3195271
Abstract: Heterogeneous computing relies on collaboration among different types of processors on shared data. In systems with discrete accelerators (e.g., GP-GPU), data sharing requires transferring a large amount of data between CPU and accelerator memories and…
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Keywords:
overlapping computation;
data transfer;
heterogeneous computing;
demand memcpy ... See more keywords
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Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3373791
Abstract: This research extensively explores contemporary techniques in Underwater Wireless Power and Data Transfer (WPDT), as found in recent literature over the past 5 years. These techniques involve Magnetic Induction (MI), acoustic communication, and optical communication.…
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Keywords:
wireless power;
underwater wireless;
power data;
data transfer ... See more keywords
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Published in 2024 at "IEEE Journal on Emerging and Selected Topics in Circuits and Systems"
DOI: 10.1109/jetcas.2024.3491169
Abstract: With the increasing popularity of heterogeneous computing systems in Artificial Intelligence (AI) applications, ensuring the confidentiality and integrity of sensitive data transferred between different elements has become a critical challenge. In this paper, we propose…
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Keywords:
fpga heterogeneous;
framework;
cpu;
data transfer ... See more keywords
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Published in 2024 at "IEEE Computer Architecture Letters"
DOI: 10.1109/lca.2024.3387472
Abstract: Due to emerging workloads that require high memory bandwidth, Processing-in-Memory (PIM) has gained significant attention and led several industrial PIM products to be introduced which are integrated with conventional computing systems. This letter characterizes the…
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Keywords:
analysis data;
pim;
bottlenecks commercial;
transfer bottlenecks ... See more keywords
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Published in 2025 at "IEEE Transactions on Computers"
DOI: 10.1109/tc.2025.3535832
Abstract: The Log-structured merge-tree (LSM-tree), widely adopted in key-value stores (KV stores), is esteemed for its efficient write performance and superb scalability amid large-scale data processing. The compaction process of LSM-trees consumes significant computational resources, thereby…
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Keywords:
gpgpu;
math;
compaction;
data transfer ... See more keywords
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Published in 2021 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"
DOI: 10.1109/tcad.2020.2994256
Abstract: Multi-FPGA platforms, like Amazon AWS F1, can run in the cloud multikernel pipelined applications, like convolutional neural networks (CNNs), with excellent performance and lower energy consumption than CPUs or GPUs. We propose a method to…
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Keywords:
data transfer;
multikernel;
applications multi;
fpga platforms ... See more keywords
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Published in 2017 at "IEEE Transactions on Cloud Computing"
DOI: 10.1109/tcc.2015.2389842
Abstract: As it has become the norm for cloud providers to host multiple datacenters around the globe, significant demands exist for inter-datacenter data transfers in large volumes, e.g., migration of big data. A challenge arises on…
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Keywords:
data transfers;
bulk;
bulk data;
geo distributed ... See more keywords