Email: info@ijps.in | Mob: +91-9555269393

Submit Manuscript

Abstract

HARNESSING ADVANCED GPU ACCELERATED TECHNIQUES FOR AUGMENTED DATA ANALYSIS AND VISUALIZATION IN ENTERPRISE RESOURCE PLANNING (ERP)

Bhavesh Gondaliya

University of Mumbai, Mumbai, India

67 - 75
Vol. 10, Jul-Dec, 2020
Receiving Date: 2020-06-18
Acceptance Date: 2020-08-09
Publication Date: 2020-08-29
Download PDF
Abstract

In the context of the fourth industrial revolution, the enterprise resource planning system (ERP) serves as a crucial nexus for integrating logistics systems, production facilities, innovative machinery, IoT devices, and other enterprise data sources. This paper presents an approach to augment the analytical capabilities of ERP-integrated tools by leveraging a multi-tenant GPU-enabled high-performance computing (HPC) environment. By harnessing corporate analytics alongside GPU-accelerated, in-memory processing of both structured and unstructured data, this approach enhances the efficiency and effectiveness of enterprise machine learning (ML) tasks. The proposed method advocates for data sharing in GPU memory through an open analytic platform, complementing existing ERP analytical functionalities, demonstrated with SAP S/4Hana as an example. This solution streamlines the workflow of data scientists dealing with ERP datasets, facilitating faster, higher-quality AI model development and simplifying data interaction through non-ERP visualization methods such as immersive learning with virtual or augmented reality (VR/AR).


Keywords: enterprise resource planning system (ERP); IoT; machine learning


References
  1. Martins S., Varela M.L.R., Machado J., 'Development of a system for supporting industrial management', 2020, Lecture Notes in Mechanical Engineering, pp. 209-215.
  2. Ghobakhloo M., 'The future of manufacturing industry: a strategic roadmap toward Industry 4.0', Journal of Manufacturing Technology Management, vol. 29, Issue 6, pp. 910-936, October 2018
  3. Skrzeszewska M., Patalas-Maliszewska J., 'Assessing the effectiveness of using the MES in manufacturing enterprises in the context of industry 4.0', 2020, Advances in Intelligent Systems and Computing 1004, pp.49-56
  4. Trif S.-M., Dutu C., Tuleu D.-L., 'Linking CRM capabilities to business performance: A comparison within markets and between products', 2019, Management and Marketing 14(3), pp. 292-303
  5. Tang Y., Liu Y., 'Information Management System and Supply Chain Management (SCM)', 2020, Advances in Intelligent Systems and Computing 928, pp. 1421-1426
  6. Bag S., Wood L.C., Xu L., Dhamija P., Kayikci Y., 'Big data analytics as an operational excellence approach to enhance sustainable supply chain performance', 2020, Resources, Conservation and Recycling 153,104559
  7. Cui Y., Kara S., Chan K.C., 'Manufacturing big data ecosystem: A systematic literature review', 2020, Robotics and Computer-Integrated Manufacturing 62,101861
  8. Seera N.K., Taruna S., 'Leveraging mapreduce with column-oriented stores: Study of solutions and benefits', 2018, Advances in Intelligent Systems and Computing 654, pp. 39-46
  9. Faerber F., Kemper A., Larson P.-Г., Neumann T., Pavlo A., 'Main memory database systems', 2017, Foundations and Trends in Databases 8(1-2), pp. 1-130
  10. Romeo L., Loncarski J., Paolanti M., Mancini A., Frontoni E., 'Machine learning-based design support system for the prediction of heterogeneous machine parameters in industry 4.0', 2020, Expert Systems with Applications 140,112869
  11. Hong S., Choi W., Jeong W.-K., 'GPU in-memory processing using spark for iterative computation', 2017, Proceedings - 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID 2017 7973686, pp. 31-41
  12. Peltenburg J., van Straten J., Brobbel M., Hofstee H.P., Al-Ars Z., 'Supporting Columnar In-memory Formats on FPGA: The Hardware Design of Fletcher for Apache Arrow', 2019, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 11444 LNCS, pp. 32- 47
  13. Fleig C., Augenstein D., Maedche A., 'Process mining for business process standardization in ERP implementation projects – An SAP S/4 HANA case study from manufacturing',2018, CEUR Workshop Proceedings 2196, pp. 149-155
  14. Shraideh M., Drieschner C., Betzwieser B., Utesch M., Krcmar H., 'Using a project-based learning approach for teaching emerging technologies: An example of a practical course for introducing SAP Leonardo and SAP HANA',2018, IEEE Global Engineering Education Conference, pp. 2047-2051
  15. Oktaş K., 'Analytics powered by cloud infrastructure', 2020, Advances in Intelligent Systems and Computing 1029, pp. 386-392
  16. May N., Lehner W., Shahul H.P., Chowdhuri S., Goel A., 'SAP HANA - From relational OLAP database to big data infrastructure', 2015, EDBT 2015 - 18th International Conference on Extending Database Technology, Proceedings, pp. 581-592
  17. Han B., 'Teaching ERP programming using SAP ABAP/4', 2006, Enterprise Systems Education in the 21st Century, pp. 261-282
  18. Zhou K., Zhao L., Design of equipment management information system based on SAP NetWeaver, 2013, Tobacco Science and Technology (8), pp. 15-20
  19. Selmeci A., Orosz T., 'SAP remote communications', 2012, SACI 2012 - 7th IEEE International Symposium on Applied Computational Intelligence and Informatics, Proceedings pp. 303-309
  20. Lawrence R., Brandsberg E., Lee R., 'Next generation JDBC database drivers for performance, transparent caching, load balancing, and scaleout', 2017, Proceedings of the ACM Symposium on Applied Computing Part F128005, pp. 915-918
  21. Sharma K., Marjit U., Biswas U., 'Efficiently processing and storing library linked data using apache spark and parquet', 2018, Information Technology and Libraries 37(3), pp. 29-49
  22. Aluko V., Sakr S., 'Big SQL systems: an experimental evaluation', 2019, Cluster Computing 22(4), pp. 1347-1377
  23. Lentner G., 'Shared memory high throughput computing with Apache arrow', 2019, ACM International Conference Proceeding Series 3335197,
  24. Peltenburg J., van Straten J., Brobbel M., Hofstee H.P., Al-Ars Z., 'Supporting Columnar In-memory Formats on FPGA: The Hardware Design of Fletcher for Apache Arrow', 2019, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 11444 LNCS, pp. 32- 47
  25. Dojchinovski D., Gusev M., Zdraveski V., 'Efficiently Running SQL Queries on GPU', 2018, 2018 26th Telecommunications Forum, TELFOR 2018 - Proceedings 8611821
  26. Shehab E., Algergawy A., Sarhan A., 'Accelerating relational database operations using both CPU and GPU co-processor', 2017, Computers and Electrical Engineering 57, pp. 69-80
  27. Sitaridi E.A., Ross K.A., 'GPU-accelerated string matching for database applications', 2016, VLDB Journal 25(5), pp. 719-740
  28. Sisyukov A.N., Yulmetova O.S., Kuznecov V.A., 'GPU accelerated industrial data analysis in private cloud environment',2019, Proceedings of the 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2019, 8656751, pp. 348-352
  29. Ohno Y., Morishima S., Matsutani H., 'Accelerating spark RDD operations with local and remote GPU devices', 2016, Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS 0,7823823, pp. 791-799
  30. Hu T., Song T., 'Research on XGboost academic forecasting and analysis modelling', 2019, Journal of Physics: Conference Series 1324(1),012091
  31. Makransky G., Borre-Gude S., Mayer R.E., 'Motivational and cognitive benefits of training in immersive virtual reality based on multiple assessments', 2019, Journal of Computer Assisted Learning 35(6), pp. 691-707
  32. Beck D. 'Special Issue: Augmented and Virtual Reality in Education: Immersive Learning Research', 2019, Journal of Educational Computing Research 57(7), pp. 1619-1625
  33. Aebersold M., Rasmussen J., Mulrenin T., 'Virtual Everest: Immersive Virtual Reality Can Improve the Simulation Experience', 2020, Clinical Simulation in Nursing 38, pp. 1-4
  34. Wang X., Guo C., Yuen D.A., Luo G., 'GeoVReality: A computational interactive virtual reality visualization framework and workflow for geophysical research', 2020, Physics of the Earth and Planetary Interiors 298,106312
  35. Azraff Bin Rozmi M.D., Thirunavukkarasu G.S., Jamei E., Stojcevski A., Horan B., 'Role of immersive visualization tools in renewable energy system development', 2019, Renewable and Sustainable Energy Reviews 115,109363
  36. Tudjarov B., Mitrev R., 'Web-based VR environment for simulation and visualization of construction manipulator motion', 2019, ACM International Conference Proceeding Series
  37. Vincke, S., Hernandez, R.D.L., Bassier, M., Vergauwen, M., 'Immersive visualisation of construction site point cloud data, meshes and bim models in a vr environment using a gaming engine', 2019, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives 42(5/W2), pp. 77-83
Back

alexistogel toto online

bandar alexistogel

alexistogel bandar gacor

alexistogel link

alexistogel online

alexistogel bandar togel

link alternatif alexistogel

alexistogel

alexistogel

alexistogel

alexistogel daftar

alexistogel toto macau

alexistogel bandar macau

alexistogel slot

alexistogel agen slot

situs alexistogel

alexistogel

alexistogel

alexistogel

alexistogel

alexistogel bandar slot

alexistogel

Alexistogel Toto Macau

bandar alexistogel

slot alexistogel

alexistogel bandar togel

alexistogel

alexistogel slot

alexistogel

daftar alexistogel

alexistogel online

rtp alexistogel

alexistogel slot

alexistogel gacor

link alternatif alexistogel

alexistogel login

alexistogel

alexistogel slot dana

agen togel online

bandar togel online

alexistogel rtp

alexistogel slot

alexistogel daftar

slot online dana

situs slot online

alexistogel

bandar togel online

slot online terpercaya

togel slot online

agen slot online gacor

rtp live slot online

bandar slot online

bandar slot online gacor

agen slot online

daftar bandar togel slot

bandar togel online

togel slot hari ini

link alternatif togel slot

rtp slot online gacor

slot online gacor

alexistogel terpercaya

rtp slot gacor

tips slot maxwin

togel slot gacor

prediksi togel

game slot gacor

trik slot online

prediksi togel jitu

daftar togel slot online

slot online gacor

trik slot bonus

prediksi togel

RTP LIVE

Bandar Toto Macau

Situs Slot Gacor

bandarbola855 resmi

bandarbola855 gacor

bandarbola855 slot

link bandarbola855

bandarbola855 rtp

bandarbola855 link

bandarbola855 bandar

bandarbola855

bandarbola855 slot

bandarbola855 terpercaya

bandarbola855 slot

bandarbola855 daftar

bandarbola855 link

bandarbola855

bandarbola855

bandarbola855

iosbet

iosbet

link iosbet

slot online iosbet

iosbet link login

slot iosbet

iosbet gacor

iosbet

slot iosbet

agen iosbet

bandar iosbet

iosbet

iosbet link

iosbet

iosbet

iosbet

iosbet

liatogel

login liatogel

liatogel totomacau

Slot Gacor