A High-Performance CUDA-Based Computing Platform for Industrial Control Systems

被引：0

作者：

Cena, Gianluca ^{[1
]}

Cereia, Marco ^{[1
]}

Scanzio, Stefano ^{[1
]}

Valenzano, Adriano ^{[1
]}

Zunino, Claudio ^{[1
]}

机构：

[1] IEIIT CNR, I-10129 Turin, Italy

来源：

2011 IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE) | 2011年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Most factory automation and motion control systems rely on a cyclic approach, where a controller device periodically inquires and sends commands to decentralized I/O peripherals. From a general viewpoint, the shorter the period of the cycle the better the accuracy of the control system. However, reducing the cycle duration implies that more complex (and expensive) solutions have to be adopted. In this paper, an inexpensive computing platform for control applications is described, which consists of a conventional PC equipped with a CUDA-based GPU and an Ethernet interface, and its performance is evaluated. We show that noticeable improvements can be actually obtained, as long as control algorithms can be parallelized effectively.

引用

页数：6

共 50 条

[11] Porting CUDA-Based Molecular Dynamics Algorithms to AMD ROCm Platform Using HIP Framework: Performance Analysis
Kuznetsov, Evgeny
Stegailov, Vladimir
SUPERCOMPUTING (RUSCDAYS 2019), 2019, 1129 : 121 - 130
[12] Reconfigurable high-performance computing systems based on homogeneous media
Rusyn, BP
Kuzio, MN
Shmoylov, VI
AUTOMATIC CONTROL AND COMPUTER SCIENCES, 2000, 34 (03) : 58 - 65
[13] LOW POWER HIGH-PERFORMANCE COMPUTING ON THE BEAGLEBOARD PLATFORM
Principi, Emanuele
Colagiacomo, Vito
Squartini, Stefano
Piazza, Francesco
2012 5TH EUROPEAN DSP EDUCATION AND RESEARCH CONFERENCE (EDERC), 2012, : 35 - 39
[14] CUDA-based algorithm for high-speed parallel Gaussian filtering
Lu, Wenlong
Wang, Jianjun
Liu, Xiaojun
Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition), 2011, 39 (05): : 10 - 13
[15] Industrial applications of high-performance computing for phylogeny reconstruction
Bader, DA
Moret, BME
Vawter, L
COMMERCIAL APPLICATIONS FOR HIGH-PERFORMANCE COMPUTING, 2001, 4528 : 159 - 168
[16] High-Performance Computing: Fundamental Problems in Industrial Applications
Chetverushkin, B. N.
PARALLEL, DISTRIBUTED AND GRID COMPUTING FOR ENGINEERING, 2009, 21 : 369 - 388
[17] Optimized CUDA-Based PDE Solver for Reaction Diffusion Systems on Arbitrary Surfaces
Descombes, Samira Michele
Dhillon, Daljit Singh
Zwicker, Matthias
PARALLEL PROCESSING AND APPLIED MATHEMATICS, PPAM 2015, PT I, 2016, 9573 : 526 - 536
[18] Accelerated Finite Element Method Solver for RCS Analysis Using CUDA-Based Parallel Computing
Jo, Mincheol
Park, Woobin
Kim, Moonseong
Lee, Woochan
IEEE ACCESS, 2024, 12 : 120375 - 120388
[19] High Performance CUDA-based Implementation for the 2D Version of the Maximum Subarray Problem (MSP)
Saleh, Salah
Abdellah, Marwan
Raouf, Ahmed A. Abdel
Kadah, Yasser M.
2012 CAIRO INTERNATIONAL BIOMEDICAL ENGINEERING CONFERENCE (CIBEC), 2012, : 60 - 63
[20] LBcuda: A high-performance CUDA port of LBsoft for simulation of colloidal systems
Bonaccorso, Fabio
Lauricella, Marco
Montessori, Andrea
Amati, Giorgio
Bernaschi, Massimo
Spiga, Filippo
Tiribocchi, Adriano
Succi, Sauro
COMPUTER PHYSICS COMMUNICATIONS, 2022, 277

← 1 2 3 4 5 →