CPS: Breakthrough: Collaborative Research: Bringing the Multicore Revolution to Safety-Critical Cyber-Physical Systems

• funded by: NSF (award abstract)
• funding level: $225,000
• duration: 02/01/2013 - 01/31/2016 (no-cost extension until 01/31/2018)
• PIs (total funding: $675,000):
  • James Anderson - University of North Carolina at Chapel Hill
  • Frank Mueller - North Carolina State University

Multicore platforms have the potential of revolutionizing the capabilities of embedded cyber-physical systems but lack predictability in execution time due to shared resources. Safety-critical systems require such predictability for certification. This research aims at resolving this multicore ``predictability problem.'' It will develop methods that enable to share hardware resources to be allocated and provide predictability, including support for real-time operating systems, middleware, and associated analysis tools. The devised methods will be evaluated through experimental research involving synthetic micro-benchmarks and code for unmanned air vehicles ``re-thinking'' their adaptation to changing environmental conditions within Cyber-Physical Systems.

• Controller-Aware Memory Coloring for Multicore Real-Time Systems Xing Pan, Frank Mueller in Symposium on Applied Computing (SAC), Apr 2018, DOI 10.1145/3167132.3167196.
• Hybrid MPI/OpenMP Programming on the Tilera Manycore Architecture by Vishwanathan Chandu, Frank Mueller in International Conference on High Performance Computing & Simulation (HPCS), Jul 2016.
• TintMalloc: Reducing Memory Access Divergence via Controller-Aware Coloring Xing Pan, Yasaswini Gownivaripalli, Frank Mueller in International Parallel and Distributed Processing Symposium (IPDPS), May 2016.
• Reducing NoC and Memory Contention for Manycores by V. Chandru, F. Mueller in Architecture of Computing Systems (ARCS), Apr 2016.
• "Providing Task Isolation via TLB Coloring" by S. Panchamukhi and F. Mueller in Real-Time and Embedded Technology and Applications Symposium, Apr 2015.

• "Providing DRAM Predictability for Real-Time Systems and Beyond" by X. Pan, Ph.D. Thesis, North Carolina State University, May 2017 (last known position: Baidu, China)
• "Analysis of Memory Performance and Execution Models for Large-Scale Manycores" by Vishwanathan Chandru, M.S. Thesis, North Carolina State University, Aug 2015 (last known position: Intel, IL)
• "Hybrid Cache, Bank, and Controller Aware Coloring for Multicore Real-Time Systems" by Yasaswini Gownivaripalli, M.S. Thesis, North Carolina State University, Jun 2015 (last known position: Intel, OR)
• "Providing Task Isolation via TLB Coloring" by Shrinivas Panchamukhi, M.S. Thesis, North Carolina State University, Jul 2014 (last known position: Intel, OR)

• Poster 2013 and video
• Poster 2014
• Poster 2015 and video
• Poster 2016

"Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation."