Accelerating DES and AES algorithms for a heterogeneous many-core processor

B Xing, DD Wang, Y Yang, Z Wei, J Wu… - International Journal of …, 2021 - Springer
Data security is the focus of information security. As a primary method, file encryption is
adopted for ensuring data security. Encryption algorithms created to meet the Data …

[HTML][HTML] Swpepnovo: An efficient de novo peptide sequencing tool for large-scale ms/ms spectra analysis

C Li, K Li, K Li, X Xie, F Lin - International journal of biological …, 2019 - ncbi.nlm.nih.gov
Tandem mass spectrometry (MS/MS)-based de novo peptide sequencing is a powerful
method for high-throughput protein analysis. However, the explosively increasing size of …

Optimizing partitioned CSR-based SpGEMM on the Sunway TaihuLight

Y Chen, G Xiao, W Yang - Neural Computing and Applications, 2020 - Springer
General sparse matrix-sparse matrix (SpGEMM) multiplication is one of the basic kernels in
a great many applications. Several works focus on various optimizations for SpGEMM. To …

Implementation and optimization of ChaCha20 stream cipher on sunway taihuLight supercomputer

W Cai, H Chen, Z Wang, X Zhang - The Journal of Supercomputing, 2022 - Springer
Data have always been the most valuable asset of enterprises and research institutions, and
their confidentiality, especially the input and output data related to applications running on …

A review on security challenges and approaches in the cloud computing

EMTA Alsaadi, SM Fayadh, A Alabaichi - AIP Conference Proceedings, 2020 - pubs.aip.org
Cloud Computing is a model based on computing system which provides convenient and
customizable services to the users for accessing to different cloud applications. It provides a …

hpSpMV: a heterogeneous parallel computing scheme for SpMV on the Sunway TaihuLight Supercomputer

Y Chen, G Xiao, Z Xiao, W Yang - 2019 IEEE 21st International …, 2019 - ieeexplore.ieee.org
Sparse matrix-vector multiplication (SpMV) is one of the most essential algorithms in various
applications. This paper designs hpSpMV, a heterogeneous parallel computing scheme for …

Towards large-scale sparse matrix-vector multiplication on the SW26010 manycore architecture

Y Chen, G Xiao, F Wu, Z Tang - 2019 IEEE 21st International …, 2019 - ieeexplore.ieee.org
Sparse matrix-vector multiplication (SpMV) is one of the important subroutines in numerical
linear algebra widely used in plenty of large-scale applications. This paper focuses on …

[HTML][HTML] Обеспечение информационной безопасности научного суперкомпьютерного центра

АВ Баранов, ПМ Корепанов… - … продукты и системы, 2023 - cyberleninka.ru
В большинстве научных суперкомпьютерных центров (СКЦ) коллективного
пользования обрабатывается открытая информация. Для ее защиты, как правило …

[引用][C] Foreword to the Special Section on Parallel and Distributed Computing, Applications and Technologies

H Shen, H Tian, Y Sang - Concurrency and Computation …, 2019 - Wiley Online Library
1 BACKGROUND The increasing intensity and variety of computation in solving modern
science, engineering, and social application problems have brought numerous challenges …