SODA: A High-Performance DSP Architecture for Software-Defined Radio

Lin, Yaping; Lee, H.; Woh, Mark; Harel, Yoav; Mahlke, Scott; Mudge, Trevor; Chakrabarti, Chaitali; Flautner, Krisztián

doi:10.1109/mm.2007.22

Cited by 67 publications

(48 citation statements)

References 4 publications

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“…The former has micro-operation granularity such as VADD (vector add) and VMUL (vector multiply) instructions, whereas the latter has loop granularity as it applies the whole body of a loop to different iterations. SIMD processors are particularly popular and effective [11,12,13] for signal processing applications such as wireless communications and software-defined radio, and some of them [12,13] even support MIMD (Multiple Instruction Multiple Data) in addition to SIMD; however, they are all based on micro-operation granularity SIMD.…”

Section: Related Workmentioning

confidence: 99%

Exploiting Both Pipelining and Data Parallelism with SIMD Reconfigurable Architecture

Kim

Lee

et al. 2012

Lecture Notes in Computer Science

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Abstract. Reconfigurable Architecture (RA), which provides extremely high energy efficiency for certain domains of applications, have one problem that current mapping algorithms for it do not scale well with the number of cores. One approach to this problem is using SIMD (Single Instruction Multiple Data) paradigm. However, SIMD can complicate the mapping problem by adding an additional dimension, i.e., iteration mapping, to the already inter-dependent problems of data mapping and operation mapping, and can significantly affect performance through memory bank conflicts. In this paper we introduce SIMD reconfigurable architecture, which allows for SIMD mapping at multiple levels of granularity, and investigate ways to minimize bank conflicts in a SIMD reconfigurable architecture with the related sub-problems taken into consideration. We further present data tiling and evaluate a conflict-free scheduling algorithm as a way to eliminate bank conflicts for a certain class of iteration and data mapping.

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Section: Related Workmentioning

confidence: 99%

Exploiting Both Pipelining and Data Parallelism with SIMD Reconfigurable Architecture

Kim

Lee

et al. 2012

Lecture Notes in Computer Science

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“…Results show that in a 180 nm technology, SODAs power consumption is 3 W, which is too much for current mobile phones constraints. It was also implemented on 90 and 65 nm technology, achieving power consumption of 450 and 250 mW, respectively [24]. …”

Section: Soda (Signal-processing On-demand Architecture)mentioning

confidence: 99%

State of the art baseband DSP platforms for Software Defined Radio: A survey

Anjum

Ahonen

Garzia

et al. 2011

J Wireless Com Network

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Software Defined Radio (SDR) is an innovative approach which is becoming a more and more promising technology for future mobile handsets. Several proposals in the field of embedded systems have been introduced by different universities and industries to support SDR applications. This article presents an overview of current platforms and analyzes the related architectural choices, the current issues in SDR, as well as potential future trends.

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“…The practical implementation of MIMO receiver schemes and softwaredefined-radio (SDR) platforms have been traditionally developed using digital signal processors (DSP) [4], field programmable gate arrays (FPGA) or application-specific integrated circuits (ASIC) [5] [6]. Recently, the use of the last generation multi-core CPUs and GPUs has become attractive for the efficient implementation of parallel signal processing algorithms with high computation requirements, such as the scheme reported in [7] and [12] respectively.…”

Section: Introductionmentioning

confidence: 99%

Multicore implementation of a fixed-complexity tree-search detector for MIMO communications

et al. 2012

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Multi-core systems allow the e cient implementation of signal processing algorithms for communication systems due to their high parallel processing capabilities. In this paper, we present a high-throughput multi-core implementation of a fixed-complexity tree-search-based detector interesting for MIMO wireless communication systems. Experimental results confirm that this implementation allows to accelerate the data detection stage for di↵erent constellation sizes and number of subcarriers.

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SODA: A High-Performance DSP Architecture for Software-Defined Radio

Cited by 67 publications

References 4 publications

Exploiting Both Pipelining and Data Parallelism with SIMD Reconfigurable Architecture

Exploiting Both Pipelining and Data Parallelism with SIMD Reconfigurable Architecture

State of the art baseband DSP platforms for Software Defined Radio: A survey

Multicore implementation of a fixed-complexity tree-search detector for MIMO communications

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