Application of extensible processing platforms for experiments with FPGA-based circuits

Sklyarov, Valery; Skliarova, Iouliia; Silva, Joao; Rjabov, Artjom; Sudnitson, Alexander

doi:10.1109/melcon.2014.6820579

Cited by 1 publication

(9 citation statements)

References 6 publications

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“…We will mainly use AXI ACP [7] which provides one of the fastest interfaces for exchange of large data sets between the PS and PL [7,9,15]. The number of data items transferred from the PS/memory to the PL is the same as in [15].…”

Section: Filteringmentioning

confidence: 99%

“…In such case we can use another method based on software/hardware sorters from [9]. In section 8 we will present the results of experiments for such sorters.…”

Section: Computing Sorted Subsets For Data Processing In Communicatinmentioning

confidence: 99%

“…For example, average maximum values are checked. The results of analysis may be used to modify control algorithms much like it is done in [9,16]. For example, modules of controllers from [9] can be replaced to optimize execution of relevant operations.…”

Section: Practical Applicationsmentioning

confidence: 99%

“…It is shown in [9] that for transferring a small number of data items between the PS and the PL on-chip general-purpose ports (GPP) can be used more efficiently than other available interfaces. Thus, requests from the PS to the PL are formed through GPP where the PS is the master and the PL is a slave.…”

mentioning

confidence: 99%

“…Thus, requests from the PS to the PL are formed through GPP where the PS is the master and the PL is a slave. It is also shown in [7,9] that large volumes of data can be more efficiently transferred from/to memories to/from the PL through high performance (HP) interfaces: HighPerformance Advanced eXtensible Interface (AXI HP) and AXI Accelerator Coherency Port (AXI ACP). In all our designs memories are slaves and either the PL or the processor in the PS is the master.…”

mentioning

confidence: 99%

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Computing Sorted Subsets for Data Processing in Communicating Software/Hardware Control Systems

Sklyarov

Skliarova

Rjabov

et al. 2015

INT J COMPUT COMMUN

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Computing and filtering sorted subsets are frequently required in statistical data manipulation and control applications. The main objective is to extract subsets from large data sets in accordance with some criteria, for example, with the maximum and/or the minimum values in the entire set or within the predefined constraints. The paper suggests a new computation method enabling the indicated above problem to be solved in all programmable systems-on-chip from the Xilinx Zynq family that combine a dual-core Cortex-A9 processing unit and programmable logic linked by high-performance interfaces. The method involves highly parallel sorting networks and run-time filtering. The computations are done in communicating software, running in the processing unit, and hardware, implemented in the programmable logic. Practical applications of the proposed technique are also shown. The results of implementation and experiments clearly demonstrate significant speed-up of the developed software/hardware system comparing to alternative software implementations.

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Section: Filteringmentioning

confidence: 99%

“…In such case we can use another method based on software/hardware sorters from [9]. In section 8 we will present the results of experiments for such sorters.…”

Section: Computing Sorted Subsets For Data Processing In Communicatinmentioning

confidence: 99%