Faust 0.9.9.5 introduces new compilation options to do automatic parallelization of code using OpenMP. This paper explains how the automatic parallelization is done and presents some benchmarks.

Faust is a functional programming language dedicated to the specification of executable monorate musical applications. We present here a multirate extension of the core of the Faust language, called MR Faust, together with a typing semantics, a denotational semantics and correctness theorems that link them together.

Faust is a functional programming language for realtime signal processing and synthesis that targets high-performance signal processing applications and audio plugins. The paper gives a brief introduction to Faust and discusses its interfaces to Q, a general purpose functional programming language, and SuperCollider, an object-oriented sound synthesis language and engine.

In this paper we show the possibility of using FAUST (a programming language for function based block oriented programming) to create a fast audio processor in a single chip FPGA environment. The produced VHDL code is embedded in the on-chip processor system and utilizes the FPGA fabric for parallel processing. For the purpose of implementing and testing the code a complete System-On-Chip framework has been created. We use a Digilent board with a XILINX Virtex... Lire la suite

In this paper we show the possibility of using FAUST (a programming language for function based block oriented programming) to create a fast audio processor in a single chip FPGA environment. The produced VHDL code is embedded in the on-chip processor system and utilizes the FPGA fabric for parallel processing. For the purpose of implementing and testing the code a complete System-On-Chip framework has been created. We use a Digilent board with a XILINX Virtex 2 Pro FPGA. The chip has a PowerPC 405 core and the framework uses the on chip peripheral bus to interface the core. The content of this paper presents a proof-of-concept implementation using a simple two pole IIR filter. The produced code is working, although more work has to be done for implementing complex arithmetic operations support.