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Identifier

000399494

Title

Calypso: a GPU streaming framework for Software Defined Radio implementations

Alternative Title

Calypso: πλαίσιο για προγραμματισμό SDR εφαρμογών σε κάρτα γραφικών

Author

Νικολαίδης, Φώτιος Μ.

Thesis advisor

Τραγανίτης, Απόστολος
Παπαδάκης, Στέφανος

Reviewer

Μαρκάτος, Ευάγγελος
Τσακαλίδης, Παναγιώτης

Abstract

Software Defined Radio devices have been proposed to solve the problem of difficult prototyping, update and upgrade of fixed-circuit radios. They are radio communication systems in which the signal processing circuits have been replaced by software running on an external host. The exchanged information is in the form of digitized baseband signals. This makes the radio able to used regardless of the underlying signal processing system. Thus, it can be used with any telecommunication standard. The fact that everything is written in software and executed in signalagnostic radios, gives great boost to reconfigurable networks, efficiency in power spectrum usage, feature extensibility, bug-fixing and rapid prototyping. Nevertheless, the fixed-circuit performance must be equalized by the software counter-part. During the previous decades, only specialized hardware like Field Programmable Gate Array and Digital Signal Processing could provide the necessary computational power. Lately, that General Purpose Processor have become more powerful, they are preferred over specialized hardware for programmability reasons. To further increase the computational power without losing the programmability benefits, it has been proposed to put into service the Graphics Processing Units(GPUs), for signal processing purposes. However existing signalprocessing engines have been built for CPU environments, and any effort for GPU integration is constrained by the core design. This dissertation presents Calypso: a hybrid batch streaming engine designed to take advantage both of Central Processing Units(CPUs) and GPUs. It is constituted of self-contained entities, called modules. Modules have an upper CPU layer (orchestrator) emphasizing on task parallelisation and a lower GPU layer (labor) emphasizing on data parallelisation. The labor layer provides the functionality and must be implemented by the developer. The upper layer belongs to Calypso and is responsible for operational duties like: task synchronization, ordering, data passing, asynchronous operations and memory management. With this toolkit, even an amateur developer in parallel programming can build asynchronous applications with GPU support. To evaluate the engine, the Digital Video Broadcasting Terrestrial (DVBT) has been implemented in CPU, as GNU Radio application, and in GPU, as Calypso application. Measurements shown that Calypso performs twice as better than GNU Radio for a single DVB-T stream, on a much cheaper hardware. However the technological gap between the commercial GPU and the high-end CPU becomes evident when multiple DVB-T are concurrently active. The GPU is saturated faster that the CPU, which results to equal an distribution of the aggregated throughput to the streams.

Language

English

Subject

CUDA

GPU programming

Stream engine

Μηχανές ροής

Issue date

2016-03-18

Collection

School/Department--School of Sciences and Engineering--Department of Computer Science--Post-graduate theses

Type of Work--Post-graduate theses