Graphminesuite: Enabling high-performance and programmable graph mining algorithms with set algebra
M Besta, Z Vonarburg-Shmaria, Y Schaffner… - arXiv preprint arXiv …, 2021 - arxiv.org
We propose GraphMineSuite (GMS): the first benchmarking suite for graph mining that
facilitates evaluating and constructing high-performance graph mining algorithms. First …
facilitates evaluating and constructing high-performance graph mining algorithms. First …
A survey on data-driven performance tuning for big data analytics platforms
Many research works deal with big data platforms looking forward to data science and
analytics. These are complex and usually distributed environments, composed of several …
analytics. These are complex and usually distributed environments, composed of several …
Aibench scenario: Scenario-distilling ai benchmarking
Modern real-world application scenarios like Internet services consist of a diversity of AI and
non-AI modules with huge code sizes and long and complicated execution paths, which …
non-AI modules with huge code sizes and long and complicated execution paths, which …
TextBenDS: a generic textual data benchmark for distributed systems
Extracting top-k keywords and documents using weighting schemes are popular techniques
employed in text mining and machine learning for different analysis and retrieval tasks. The …
employed in text mining and machine learning for different analysis and retrieval tasks. The …
UniTest: A Universal Testing Framework for Database Management Systems
G Shi, C Wang, B Huang, H Feng, B Wang - Database Systems for …, 2021 - Springer
With the continuous development of data collection, network transmission, and data storage,
Big Data are now rapidly expanding in all science and engineering domains. Considering …
Big Data are now rapidly expanding in all science and engineering domains. Considering …