MIMD Programs Execution Support on SIMD Machines: A Holistic Survey
D Mustafa, R Alkhasawneh, F Obeidat… - IEEE Access, 2024 - ieeexplore.ieee.org
The Single Instruction Multiple Data (SIMD) architecture, supported by various high-
performance computing platforms, efficiently utilizes data-level parallelism. The SIMD model …
performance computing platforms, efficiently utilizes data-level parallelism. The SIMD model …
DB+-tree: A new variant of B+-tree for main-memory database systems
Y Kwon, S Lee, Y Nam, JC Na, K Park, SK Cha… - Information Systems, 2023 - Elsevier
The B-tree and its variants are an indispensable tool for database systems and applications.
Hence the efficiency of the B-tree is one of the few critical factors that determine the …
Hence the efficiency of the B-tree is one of the few critical factors that determine the …
Task Decomposition and Hierarchical Scheduling for Collaborative Cloud-Edge-End Computing
The emerging computing paradigms offer effective resolutions for the escalating conflict
arising from the heightened computational demands of portable terminals and their …
arising from the heightened computational demands of portable terminals and their …
PPAC-CDW: A Privacy-Preserving Access Control Scheme with Fast OLAP Query and Efficient Revocation for Cloud Data Warehouse
S Fugkeaw, L Hak - IEEE Access, 2024 - ieeexplore.ieee.org
Achieving privacy-preserving analytical query with fine-grained access control for cloud-
based data warehouse (CDW) through the use of online analytical processing (OLAP) tool is …
based data warehouse (CDW) through the use of online analytical processing (OLAP) tool is …
A performance evaluation of DRAM access for in-memory databases
Z Qian, J Wei, Y Xiang, C Xiao - IEEE Access, 2021 - ieeexplore.ieee.org
The latest CPUs (computer cpu processors) employ multiple cores, massively superscalar
pipelines, out-of-order execution of tons of instructions, and advanced SIMD capabilities …
pipelines, out-of-order execution of tons of instructions, and advanced SIMD capabilities …
[HTML][HTML] LiPTool: A tool for learning-based autonomous index placement in databases
X Feng, D Wei, T Jiao, C Guo, D Wang, J Song - SoftwareX, 2023 - Elsevier
Nowadays, the distributed tree-based index has been widely adopted to process queries on
large-scale data. Index placement is an essential part of distributed tree-based index …
large-scale data. Index placement is an essential part of distributed tree-based index …
[HTML][HTML] 面向大数据异构系统的神威并行存储系统
何晓斌， 蒋金虎 - 大数据, 2020 - infocomm-journal.com
摘要随着大数据应用和传统高性能计算应用的融合以及异构计算的引入, 传统面向高性能计算的
并行存储系统面临着异构计算I/O 支持差, 性能干扰和效率低等问题. 通过在系统架构引入多层次 …
并行存储系统面临着异构计算I/O 支持差, 性能干扰和效率低等问题. 通过在系统架构引入多层次 …
Learning Optimal Tree-Based Index Placement for Autonomous Database
X Feng, T Jiao, C Guo, S Jie - International Conference on Database and …, 2023 - Springer
The distributed tree-based index has been widely adopted to process queries on large-scale
data. For the same index, the placement of the index determines the query performance …
data. For the same index, the placement of the index determines the query performance …
[PDF][PDF] 基于GPU 的HPGB+-Tree 索引
刘军， 冷芳玲， 李宇轩 - 计算机与数字工程, 2021 - jsj.journal.cssc709.net
摘要索引作为加速数据库查询的一种成熟技术, 始终受限于CPU 的内存带宽与架构的发展,
因此无法在性能上实现质的飞跃. 所以使用GPU 赋能索引技术来辅助数据库执行查询任务是势 …
因此无法在性能上实现质的飞跃. 所以使用GPU 赋能索引技术来辅助数据库执行查询任务是势 …
GPU 事务性内存技术研究
林玉哲， 张为华 - 大数据, 2020 - infocomm-journal.com
GPU 是并行计算领域重要的体系结构之一, 然而在面对高数据竞争的场景时,
程序员往往需要设计复杂的并行方案. 为了简化这一过程, GPU 事务性内存实现了复杂的数据 …
程序员往往需要设计复杂的并行方案. 为了简化这一过程, GPU 事务性内存实现了复杂的数据 …