A Computing Resource Management Framework for Software-Defined Radios

Marojevic, Vuk; Balleste, X.R.; Gelonch, A.

doi:10.1109/tc.2008.83

Cited by 25 publications

(28 citation statements)

References 29 publications

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“…The integrated ALOE computing resource manager enables to automatically map application tasks to a set of PEs using the tw-mapping algorithm [4]. The algorithm does not address loops and is, thus, inappropriate for Tanner Graphs.…”

Section: A Node Processormentioning

confidence: 99%

“…4 depicts the complete scenario where, for simplicity, only two PC are shown. The simulation is performed as follows: 1. we start ALOE managers in one computer; 2. we start the GHDL-CoWare simulators on four other computers; 3. the ALOE FRONT-END in each controller registers to the ALOE Linux manager; 4. the ALOE BRIDGE in each controller identifies data interfaces towards its neighbours; 5. the ALOE Linux manager generates the processor interconnection matrix [4] with the data collected from the BRIDGE in each PE. Note that this step proves that in a reconfigurable logic scenario the system is able to dynamically detect changes in the number and interconnection topology of PEs; 6. we use tool in [17] to compute CN and VN routing and node assignation for PE network architecture and save result in a configuration file; 7. we use the ALOE Linux interface to set the application status to INIT.…”

Section: Simulationsmentioning

confidence: 99%

“…Efficient MP-SoC architectures assume heterogeneous processing elements (PE). Therefore it is necessary to define an optimum mapping of tasks to the set of PE maximizing computation efficiency [4]. Moreover, decoder throughput can be adapted in time balancing the total amount of resources assigned to it.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, ALOE provides a single interface to manage processors and reconfigurable logic. The middleware is capable to map waveform components to processing devices on-line, as a function of real-time deadlines [4]. This paper presents a flexible LDPC decoder architecture based on the ALOE middleware for FPGAs.…”

Section: Introductionmentioning

confidence: 99%

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ALOE-Based Flexible LDPC Decoder

Gomez

Camatel

Bracke

et al. 2010

2010 13th Euromicro Conference on Digital System Design: Architectures, Methods and Tools

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Abstract-Radio communications terminals and infrastructure tend to support an increasing range of algorithms and radio access technologies. Flexible processing platforms are therefore needed for supporting multi-standard or heterogeneous radios. Channel decoding is one of the most computing demanding digital signal processing blocks of a radio transceiver. At the same time, it provides a high degree of implementation flexibility as well as facilitates dynamic parameter adjustments. This paper presents a flexible LDPC decoder implemented on an FPGA device following the ALOE middleware design paradigm. We analyse the middleware efficiency in terms of flexibility versus resource requirements. The results show a relative middleware area overhead of 32 %. ALOE middleware, flexible LDPC, reconfigurable logic, SDR

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Section: A Node Processormentioning

confidence: 99%

Section: Simulationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

ALOE-Based Flexible LDPC Decoder

Gomez

Camatel

Bracke

et al. 2010

2010 13th Euromicro Conference on Digital System Design: Architectures, Methods and Tools

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“…It has been tested on x86, x86_64 and ARM5 architectures. It integrates a computing resource manager capable to automatically map waveform components into processing devices maintaining real-time deadlines [6]. The manager relies on an abstract metric for measuring the available and required computing resources.…”

Section: A a Brief Introduction To Aloementioning

confidence: 99%

Performance and overhead analysis of the ALOE middleware for SDR

Gomez

Marojevic

Bracke

et al. 2010

2010 - Milcom 2010 Military Communications Conference

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Abstract-CurrentSoftware-Defined Radio applications (waveforms) are tailored to specific hardware. Processor vendors frequently adapt internal OS mechanisms for its specific architecture (e.g. scheduling and synchronization). The Abstraction Layer and Operating Environment (ALOE) is an open source SDR operating environment that isolates platform architecture from the application design. An integrated resource manager is capable of automatically mapping waveform components to a network of heterogeneous processors while meeting the waveform's real-time requirements. This paper analyzes the ALOE performance for x86 and ARM processors. It presents computing histograms of UTRAN transceiver components, the maximum achievable throughput of a simple BPSK modem, interface latencies, and overhead measurements of the ALOE background processes. SDR; middleware; resource overhead; software-defined radio performance; abstraction layer and operating environment (ALOE)

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