Nicola Domini
Ultralow latency audio processing via FPGA for Networked Music Performance applications.
Rel. Cristina Emma Margherita Rottondi, Riccardo Peloso. Politecnico di Torino, Master of science program in Electronic Engineering, 2022
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Abstract
Among all computer architectures, Application-Specific Instruction set Processors (ASIP) are one of the solutions that can better host a custom application. Together with the usage of Field-Programmable Gate Array (FPGA) chips, they provide the best tradeoff regarding flexibility and performance, allowing for an efficient design chain. Transport Triggered Architectures (TTAs) are ASIP-like solutions that can offer quite exceptional features. The possibility of creating custom functional units to accelerate specific tasks and the opportunity of having program instructions that can host several move operations simultaneously lead to a highly optimized and parallel architecture. Furthermore, the possibility of programming TTA cores through a high-level language like C, using custom hardware operations, offers an additional level of freedom to the design, allowing an efficient codesign environment for present and future use cases.
This thesis proposes an implementation for an FPGA TTA processor architecture integrated into a Networked Music Performance (NMP) application, an environment where musicians can play together remotely in real-time: custom hardware reduces the typical latencies given by processing, recording, and streaming of audio data
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