2 edition of Context-flow system-on-chip platforms. found in the catalog.
Context-flow system-on-chip platforms.
Written in English
Recent evolution in system-on-chip (SOC) design methodology demonstrates an important omission of a design principle that directly contributes to the success of conventional computer systems: the use of a simple programming model to separate application from architecture. In an effort to restore the powerful concept of programming in the context of system-on-chip, in this work we propose a new programming model, called context-flow, that is general-purpose, simple, safe, highly parallelizable yet transparent to the underlying architectural details. A high-performance SOC platform architecture is then designed to support this programming model, while fully exploiting the physical proximity between the processing elements. Using an architectural exploration framework with a multi-processor simulator, our case studies on real life applications demonstrate the feasibility of adapting imperative C programs to context-flow programs, as well as the performance efficiency of our context-flow architecture over bus-based and packet-switch-based alternatives. Finally, we propose an analytical performance model, based on queueing networks, for the new SOC platform architecture that is simple, synthesis-friendly, and as flexible and powerful as queueing theory.
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Context-Flow System-On-Chip Platforms Rami Beidas Master of Applied Science Graduate Department of Electrical and Computer Engineering University of Toronto Recent evolution in system-on-chip (SOC) design methodology demonstrates an important omission of a design principle that directly contributes to the success of conventional computer.
The context-flow architecture  was proposed to address two omissions in recent researches in communication-centric SOC platforms, or network-on-chip. First, while traditional computer.
A queuing-theoretic performance model for context-flow system-on-chip platforms Conference Paper October with 3 Reads How we measure 'reads'. Interesting tutorial.
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