Recent years have seen a burgeoning interest in embedded wireless sensor networks with applications ranging from habitat monitoring to medical applications. Wireless sensor networks have several important attributes that require special attention to device design. These include the need for inexpensive, long-lasting, highly reliable devices coupled with very low performance requirements. Ultimately, the "holy grail" of this design space is a truly untethered device that operates off of energy scavenged from the ambient environment. In this paper, we describe an application-driven approach to the architectural design and implementation of a wireless sensor device that recognizes the event-driven nature of many sensor-network workloads. We have developed a full-system simulator for our sensor node design to verify and explore our architecture. Our simulation results suggest one to two orders of magnitude reduction in power dissipation over existing commoditybased systems for an important class of sensor network applications. We are currently in the implementation stage of design, and plan to tape out the first version of our system within the next year.
This paper describes a behavioral synthesis tool called AccelFPGA which reads in high-level descriptions of digital signal processing (DSP) applications written in MATLAB, and automatically generates synthesizable register transfer level (RTL) models and simulation testbenches in VHDL or Verilog. The RTL models can be synthesized using commercial logic synthesis tools and place and route tools onto field-programmable gate arrays (FPGAs). This paper describes how powerful directives are used to provide highlevel architectural tradeoffs for the DSP designer. Experimental results are reported on a set of eight MATLAB benchmarks that are mapped onto the Xilinx Virtex II and Altera Stratix FPGAs.Index Terms-Field-programmable gate arrays (FPGAs), highlevel synthesis, MATLAB, register transfer level (RTL), Verilog, VHDL.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.