In the Sesame framework, we develop a modeling and simulation environment for the efficient design space exploration of heterogeneous embedded systems. Since Sesame recognizes se...
Unsupervised word representations are very useful in NLP tasks both as inputs to learning algorithms and as extra word features in NLP systems. However, most of these models are b...
Eric H. Huang, Richard Socher, Christopher D. Mann...
The support of heterogeneity at the specification level, that is, the ability to mix several models of computation (MoCs) in the system-level specification, is becoming increasing...
The synchronous computational model with its simple computation and communication mechanism makes it easy to describe, simulate and formally verify synchronous embedded systems at...
Most programming languages support a call stack in the programming model and also in the runtime system. We show that for applications targeting low-power embedded microcontroller...