PPT-Efficient Parallelization of Path Planning Workload

on Singlechip Sharedmemory Multicores Masab Ahmad Kartik Lakhsminrarsimhan Omer Khan University of Connecticut Agenda Motivation Characterization Methodology Characterization Results. Kaushik. . Rajan. Abhishek. . Udupa. William Thies. Rigorous Software Engineering. Microsoft Research, India. Parallelization Reconsidered. Are there dependences between loop iterations?. No. Yes. DOALL Parallelism. for Adaptive Sampling Using Mixed Integer. Linear Programming. A discussion on. Key words in title…... Path Planning. Autonomous Underwater Vehicles. Adaptive Sampling. Mixed Integer Linear programming. FAWN. :. Workloads and Implications. Vijay . Vasudevan. , David Andersen, Michael . Kaminsky. *, Lawrence Tan, . Jason Franklin. , . Iulian. . Moraru. Carnegie Mellon University, *Intel Labs Pittsburgh. Homotopy. Class Constraints. Subhrajit Bhattacharya . Vijay Kumar. Maxim . Likhachev. University of. Pennsylvania. GRASP. L. ABORATORY. Addendum. For the simple cases in 2-dimensions we have not distinguished between . . Seminar. Alcalá. de Henares. September 15, 2015. . Welcome. The path towards more efficient procurement in Europe. Alcalá. de Henares. September 15, 2015. Mr. . Stuart Feder. Chair, CEN WS/BII3 . Why Automated Operations, now more than ever?. What We Are Hearing From You. Configuration & Compliance. Performance & Capacity. “I need a more . integrated, simpler approach to ensure the performance, capacity, and health of our virtual environment” . Wesley Chu. With slides taken from Armin . Hornung. Humanoid Path Planning. Humanoids have large number of DOF. Planning full body movements not computationally feasible. Alternative: plan for footstep locations, and use predefined motions to execute on these footsteps. Kaushik. . Rajan. Abhishek. . Udupa. William Thies. Rigorous Software Engineering. Microsoft Research, India. Parallelization Reconsidered. Are there dependences between loop iterations?. No. Yes. DOALL Parallelism. It’s Not Optional in Ohio! . Short Course. Charles H. Carlin, Ph.D., CCC/SLP. Associate Professor. The University of Akron . School of Speech-Language Pathology and Audiology. carlin@uakron.edu. . ECE 751, Fall 2015. Peng . Liu. 1. Overview. What? JavaScript . Engine optimization. How? Light-weight . software speculation mechanism. 2. [1] Heine. , David, et al. Software and hardware for exploiting speculative parallelism with a multiprocessor. Computer Systems Laboratory, Stanford University, 1997. Charles H. Carlin, Ph.D., CCC/SLP. Graduate Program Coordinator and Associate Professor. The University of Akron . School of Speech-Language Pathology and Audiology. carlin@uakron.edu. . Factors that Affect Workload . Timing. Background and context. 5 minutes. How do we communicate?. 40 minutes. Action for change. 15. minutes. Reviewing and streamlining how we communicate. Background and Context. We want to evaluate our practice so our communications are useful and meaningful, but with a low workload. . Decision-making and planning. Spring 2018. CS 599.. Instructor: Jyo Deshmukh. Decision-making hierarchy. Motion planning. Overview. 2. Decision-making hierarchy. 3. Route Planning. Behavioral Planning. A*. It . applies to . path-planning problems on known finite graphs whose edge costs increase or . decrease over . time. (Such cost changes can also be used to model edges or vertices that are . added or .