2011
DOI: 10.1109/mm.2011.95
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High-Throughput, Low-Power Software-Defined Radio Using Reconfigurable Processors

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Cited by 17 publications
(15 citation statements)
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“…Most of the industrial mappings of wireless standards on SDR (Software Defined Radio) platforms, carried out for complete receivers [9], typically neither explore P&A nor analyze the trade-offs in details. Besides this, PHY layer implementations mostly focus on on efficient implementations for the computationally dominant blocks, such as MIMO detectors and FFT [7] [8].…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…Most of the industrial mappings of wireless standards on SDR (Software Defined Radio) platforms, carried out for complete receivers [9], typically neither explore P&A nor analyze the trade-offs in details. Besides this, PHY layer implementations mostly focus on on efficient implementations for the computationally dominant blocks, such as MIMO detectors and FFT [7] [8].…”
Section: Related Workmentioning
confidence: 99%
“…In the codesign space, [5] [6] traditionally partitioning decisions were limited to hardware-software partitioning only, where the design space is limited. Most of the works in ASIP based MPSoC designs with P&A exploration [7][8] [9] either do not consider complete application and focus on specific parts only or carry out limited exploration. Further, the problem of P&A and architecture exploration gets amplified exponentially with applications with multiple modes (runtime profiles) [10] or even more in case of multiple applications [11].…”
Section: Introductionmentioning
confidence: 99%
“…The implemented chip is capable of decoding 1080p main profile H.264 video streams at 24 frames per second (fps). ADRES, which combines a VLIW processor with a reconfigurable array of 8 × 8 function units, is presented by Suzuki et al [5]. In this design, the reconfigurable array is used to accelerate the dataflow-like kernels, whereas the VLIW core executes the non-kernel code by exploiting instruction-level parallelism.…”
Section: Introductionmentioning
confidence: 99%
“…Some recent studies [15][16][17][18] show that further exploiting instruction level parallelism (ILP) out of ADRES architecture can cause hardware and software (compiler) inefficiency. This is mainly because ADRES utilizes heavily ported global register file and multi-degree point-to-point connections [18].…”
Section: Introduction and Related Workmentioning
confidence: 99%
“…Using integer linear programming to find better code schedule may incur prohibitive long runtime [16]. Given the difficulty of further pushing for ILP performance, [17] turned to exploit thread-level parallelism in MT-ADRES.…”
Section: Introduction and Related Workmentioning
confidence: 99%