Accelerating graph analytics on CPU-FPGA heterogeneous platform

S Zhou, VK Prasanna - 2017 29th International Symposium on …, 2017 - ieeexplore.ieee.org
Hardware accelerators for graph analytics have gained increasing interest. Vertex-centric
and edge-centric paradigms are widely used to design graph analytics accelerators …

[HTML][HTML] Software systems implementation and domain-specific architectures towards graph analytics

H Jin, H Qi, J Zhao, X Jiang, Y Huang, C Gui… - Intelligent …, 2022 - spj.science.org
Graph analytics, which mainly includes graph processing, graph mining, and graph learning,
has become increasingly important in several domains, including social network analysis …

Design and performance evaluation of improved genetic algorithm for role mining problem

I Saenko, I Kotenko - 2012 20th Euromicro International …, 2012 - ieeexplore.ieee.org
Role Mining Problem (RMP) is an important issue in RBAC design and development.
Genetic algorithm (GA) can be an effective method for solving RMP, but known usual GAs …

Mapping routine interactions in port operations: Insights from social network analysis

JFR Reckziegel, SX Terra, TA Saurin - Redes. Revista hispana para …, 2024 - revistes.uab.cat
El análisis de redes sociales demuestra ser un instrumento valioso para comprender y
representar visualmente relaciones complejas entre diversas entidades dentro de una red …

Mapeando las interacciones rutinarias de las operaciones de puerto: Reflexiones desde el análisis de redes sociales

JF Ruschel Reckziegel, S Xavier Terra… - Redes: revista hispana …, 2024 - ddd.uab.cat
El análisis de redes sociales demuestra ser un instrumento valioso para comprender y
representar visualmente relaciones complejas entre diversas entidades dentro de una red …

GGPA: A General Graph Processing Architecture with Flexible Execution Paradigm

B Zhang, H Du, S Chen, Y Kang - Proceedings of the 20th ACM …, 2023 - dl.acm.org
Currently, graph data are particularly common in various fields, and graph algorithms are
increasingly widely used. However, due to the features of graph datasets, such as sparsity …

Exploiting social network graph characteristics for efficient BFS on heterogeneous chips

L Remis, MJ Garzaran, R Asenjo, A Navarro - Journal of Parallel and …, 2018 - Elsevier
Several approaches implement efficient BFS algorithms for multicores and for GPUs.
However, when targeting heterogeneous architectures, it is still an open problem how to …

Effective runtime scheduling for high-performance graph processing on heterogeneous dataflow architecture

Q Chen, L Zheng, X Liao, H Jin, Q Wang - CCF Transactions on High …, 2020 - Springer
Graph processing is widely used in modern society, such as social networks, bioinformatics,
and information networks. It is observed that the dataflow architecture has been …

A Work-Stealing For Dynamic Workload Balancing On CPU-GPU Heterogeneous Computing Platforms

EA Gad - 2017 - egrove.olemiss.edu
Although many general purpose workloads have been accelerated on graphical processing
units (gpus) over the last decade, other applications whose runtime behaviors are dynamic …

Scheduling Irregular Workloads on GPUs

DA Troendle - 2019 - egrove.olemiss.edu
This doctoral research aims at understanding the nature of the overhead for data irregular
GPU workloads, proposing a solution, and examining the consequences of the result. We …