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A dynamic scheduling runtime and tuning system for heterogeneous multi and many-core desktop platforms.. Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil, (2011)ndltd.org (oai:lume56.ufrgs.br:10183/34768).Industry 4.0: Quo Vadis?, , , , , , , , and . Eng. Appl. Artif. Intell., (2020)Towards dynamic reconfigurable load-balancing for hybrid desktop platforms., , and . IPDPS Workshops, page 1-4. IEEE, (2010)A CPU, GPU, FPGA System for X-Ray Image Processing Using High-Speed Scientific Cameras., , , , , and . SBAC-PAD, page 113-119. IEEE Computer Society, (2013)A Self-adaptive Auto-scaling Method for Scientific Applications on HPC Environments and Clouds., , and . CoRR, (2014)Machine learning and reasoning for predictive maintenance in Industry 4.0: Current status and challenges., , , , , , and . Comput. Ind., (2020)Real-Time Volume Rendering of Time-Varying Data Using a Fragment-Shader Compression Approach., , and . IEEE Symposium on Parallel and Large-Data Visualization and Graphics, page 69-76. IEEE, (2003)An SLA-Based Advisor for Placement of HPC Jobs on Hybrid Clouds., , , and . ICSOC, volume 9435 of Lecture Notes in Computer Science, page 324-332. Springer, (2015)Using meta-heuristics and machine learning for software optimization of parallel computing systems: a systematic literature review., , , , and . Computing, 101 (8): 893-936 (2019)BraTrack: a low-cost marker-based optical stereo tracking system., , , , and . SIGGRAPH Posters, page 131. ACM, (2008)