End-to-end predictability of operations is essential for many fixed-priority distributed real-time and embedded (DRE) applications, such as command and control systems, manufactu...
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
In this paper we propose a new communication synthesis approach targeting systems with sequential communication media (SCM). Since SCMs require that the reading sequence and writi...
Jason Cong, Yiping Fan, Guoling Han, Wei Jiang, Zh...
During the last two decades, Single Instruction Multiple Data (SIMD) processors have become important architectures in embedded systems for image processing applications. The main ...
The growth of the Internet has made it possible to query data in all corners of the globe. This trend is being abetted by the emergence of standards for data representation, such ...
Jayavel Shanmugasundaram, Kristin Tufte, David J. ...