Towards Efficient Stream Parallelism for Embedded Devices
ResumoStream processing applications process raw data-flows to reveal insightful information. Efficiently coordinating the requirements of these applications is a challenge. We propose investigating high-level software solutions for these applications to achieve efficiency and high performance for embedded devices.
Andrade, H. e. a. (2014). Fundamentals of Stream Processing: Application Design, Systems, and Analytics. Cambridge University Press, Cambridge.
Griebler, D. e. a. (2017). SPar: A DSL for High-Level and Productive Stream Parallelism. Parallel Processing Letters.
Lin, P. e. a. (2021). Resource management for pervasive edge computing-assisted wireless vr streaming in industrial internet of things. IEEE Transactions on Ind. Inf.