1,198 research outputs found
Adaptive OFDM System Design For Cognitive Radio
Recently, Cognitive Radio has been proposed as a promising technology to improve spectrum utilization. A highly flexible OFDM system is considered to be a good candidate for the Cognitive Radio baseband processing where individual carriers can be switched off for frequencies occupied by a licensed user. In order to support such an adaptive OFDM system, we propose a Multiprocessor System-on-Chip (MPSoC) architecture which can be dynamically reconfigured. However, the complexity and flexibility of the baseband processing makes the MPSoC design a difficult task. This paper presents a design technology for mapping flexible OFDM baseband for Cognitive Radio on a multiprocessor System-on-Chip (MPSoC)
Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey and Future Directions
In the past decade, Convolutional Neural Networks (CNNs) have demonstrated
state-of-the-art performance in various Artificial Intelligence tasks. To
accelerate the experimentation and development of CNNs, several software
frameworks have been released, primarily targeting power-hungry CPUs and GPUs.
In this context, reconfigurable hardware in the form of FPGAs constitutes a
potential alternative platform that can be integrated in the existing deep
learning ecosystem to provide a tunable balance between performance, power
consumption and programmability. In this paper, a survey of the existing
CNN-to-FPGA toolflows is presented, comprising a comparative study of their key
characteristics which include the supported applications, architectural
choices, design space exploration methods and achieved performance. Moreover,
major challenges and objectives introduced by the latest trends in CNN
algorithmic research are identified and presented. Finally, a uniform
evaluation methodology is proposed, aiming at the comprehensive, complete and
in-depth evaluation of CNN-to-FPGA toolflows.Comment: Accepted for publication at the ACM Computing Surveys (CSUR) journal,
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Design and Analysis of Heterogeneous DSP/FPGA Based Architectures for 3GPP Wireless Systems
This paper shows how iterative hardware/software partitioning in heterogeneous DSP/FPGA based embedded systems can be utilized to achieve real-time deadlines of modern 3GPP wireless equalization workloads. By utilizing a well defined set of application partitioning criteria in tandem with SOC simulation tools, we are able
to show a greater than six fold improvement in application performance
and ultimately meet, and even exceed real-time data processing deadlines
A general framework for efficient FPGA implementation of matrix product
Original article can be found at: http://www.medjcn.com/ Copyright Softmotor LimitedHigh performance systems are required by the developers for fast processing of computationally intensive applications. Reconfigurable hardware devices in the form of Filed-Programmable Gate Arrays (FPGAs) have been proposed as viable system building blocks in the construction of high performance systems at an economical price. Given the importance and the use of matrix algorithms in scientific computing applications, they seem ideal candidates to harness and exploit the advantages offered by FPGAs. In this paper, a system for matrix algorithm cores generation is described. The system provides a catalog of efficient user-customizable cores, designed for FPGA implementation, ranging in three different matrix algorithm categories: (i) matrix operations, (ii) matrix transforms and (iii) matrix decomposition. The generated core can be either a general purpose or a specific application core. The methodology used in the design and implementation of two specific image processing application cores is presented. The first core is a fully pipelined matrix multiplier for colour space conversion based on distributed arithmetic principles while the second one is a parallel floating-point matrix multiplier designed for 3D affine transformations.Peer reviewe
Hardware/Software Co-design Methodology and DSP/FPGA Partitioning: A Case Study for Meeting Real-Time Processing Deadlines in 3.5G Mobile Receivers
This paper presents a DSP/FPGA hardware/software partitioning methodology for signal processing workloads. The example workload is the channel equalization and user-detection in HSDPA wireless standard for 3.5G mobile handsets. Channel equalization and user-detection is a major component of receiver baseband processing and requires strict adherence to real time deadlines. By intelligently exploring the embedded design space, this paper presents a hardware/software system-on-chip partitionings that utilizes both DSP and FPGA based coprocessors to meet and exceed the real time data rates determined
by the HSDPA standard. Hardware and software partitioning strategies
are discussed with respect to real time processing deadlines, while an
SOC simulation toolset is presented as vehicle for prototyping embedded
architectures.Nokia Inc.Texas InstrumentsNational Science Foundatio
Towards Cognitive Radio for emergency networks
Large parts of the assigned spectrum is underutilized while the increasing number
of wireless multimedia applications leads to spectrum scarcity. Cognitive Radio
is an option to utilize non-used parts of the spectrum that actually are assigned to primary
services. The benefits of Cognitive Radio are clear when used in emergency
situations. Current emergency services rely much on the public networks. This is not
reliable in emergency situations, where the public networks can get overloaded. The
major limitation of emergency networks is spectrum scarcity, since multimedia data
in the emergency network needs a lot of radio resources. The idea of applying Cognitive
Radio to the emergency network is to alleviate this spectrum shortage problem
by dynamically accessing free spectrum resources. Cognitive Radio is able to work
in different frequency bands and various wireless channels and supports multimedia
services such as voice, data and video. A reconfigurable radio architecture is proposed
to enable the evolution from the traditional software defined radio to Cognitive Radio
Multi-core Architectures and Streaming Applications
In this paper we focus on algorithms and reconfigurable multi-core architectures for streaming digital signal processing (DSP) applications. The multi-core concept has a number of advantages: (1) depending on the requirements more or fewer cores can be switched on/off, (2) the multi-core structure fits well to future process technologies, more cores will be available in advanced process technologies, but the complexity per core does not increase, (3) the multi-core concept is fault tolerant, faulty cores can be discarded and (4) multiple cores can be configured fast in parallel. Because in our approach processing and memory are combined in the cores, tasks can be executed efficiently on cores (locality of reference). There are a number of application domains that can be considered as streaming DSP applications: for example wireless baseband processing (for HiperLAN/2, WiMax, DAB, DRM, and DVB), multimedia processing (e.g. MPEG, MP3 coding/decoding), medical image processing, colour image processing, sensor processing (e.g. remote surveillance cameras) and phased array radar systems. In this paper the key characteristics of streaming DSP applications are highlighted, and the characteristics of the processing architectures to efficiently support these types of applications are addressed. We present the initial results of the Annabelle chip that we designed with our approach
Modelling and Automated Implementation of Optimal Power Saving Strategies in Coarse-Grained Reconfigurable Architectures
This paper focuses on how to efficiently reduce power consumption in coarse-grained reconfigurable designs, to allow their effective adoption in heterogeneous architectures supporting and accelerating complex and highly variable multifunctional applications. We propose a design flow for this kind of architectures that, besides their automatic customization, is also capable of determining their optimal power management support. Power and clock gating implementation costs are estimated in advance, before their physical implementation, on the basis of the functional, technological, and architectural parameters of the baseline design. Experimental results, on 90 and 45ānm CMOS technologies, demonstrate that the proposed approach guides the designer towards optimal implementation
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