Static scheduling of synchronous data flow programs for digital signal processing
IEEE Transactions on Computers
LUSTRE: a declarative language for real-time programming
POPL '87 Proceedings of the 14th ACM SIGACT-SIGPLAN symposium on Principles of programming languages
POLLUX: a LUSTRE based hardware design environment
Proceedings of the international workshop on Algorithms and parallel VLSI architectures II
Proceedings of the 38th annual Design Automation Conference
System Design with SystemC
VHDL for Logic Synthesis
VHDL, Hardware Description and Design
VHDL, Hardware Description and Design
Modeling Embedded Systems and SoC's: Concurrency and Time in Models of Computation
Modeling Embedded Systems and SoC's: Concurrency and Time in Models of Computation
A New Optimized Implemention of the SystemC Engine Using Acyclic Scheduling
Proceedings of the conference on Design, automation and test in Europe - Volume 1
SystemC: From the Ground Up
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This paper addresses the efficient implementation of high-performance signal-processing algorithms. In early stages of such designs many computation-intensive simulations may be necessary. This calls for hardware description formalisms targeted for efficient simulation (such as the programming language C). In current practice, other formalisms (such as VHDL) will often be used to map the design on hardware by means of logic synthesis. A manual, error-prone, translation of a description is then necessary. The line of thought of this paper is that the gap between simulation and synthesis should not be bridged by stretching the use of existing formalisms (e.g. defining a synthesizable subset of C), but by a language dedicated to an application domain. This resulted in Arx, which is meant for signal-processing hardware at the register-transfer level, either using floating-point or fixed-point data. Code generators with knowledge of the application domain then generate efficient simulation models and synthesizable VHDL. Several designers have already completed complex signal-processing designs using Arx in a short time, proving in practice that Arx is easy to learn. Benchmarks presented in this paper show that the generated simulation code is significantly faster than SystemC.