Energy Optimization in Commercial FPGAs with Voltage, Frequency and Logic Scaling

This paper investigates the energy reductions possible in commercially available FPGAs configured to support voltage, frequency and logic scalability combined with power gating. Voltage and frequency scaling is based on in-situ detectors that allow the device to detect valid working voltage and frequency pairs at run-time while logic scalability is achieved with partial dynamic reconfiguration. The considered devices are FPGA-processor hybrids with independent power domains fabricated in 28 nm process nodes. The test case is based on a number of operational scenarios in which the FPGA side is loaded with a motion estimation core that can be configured with a variable number of execution units. The results demonstrate that voltage scalability reduces power by up to 60 percent compared with nominal voltage operation at the same frequency. The energy analysis show that the most energy efficiency core configuration depends on the performance requirements. A low performance scenario shows that serial computation is more energy efficient than the parallel configuration while the opposite is true when the performance requirements increase. An algorithm is proposed to combine effectively adaptive voltage/logic scaling and power gating in the proposed system and application

High-speed dynamic partial reconfiguration for field programmable gate arrays

With dynamically and partially reconfigurable designs, it is necessary that the speed of the reconfiguration be accomplished in a time that is sufficiently small such that the operation of reconfiguration is not the limiting factor in the process. Therefore, the communication between the source of configuration and the configurable unit must be made as fast as possible. The aim of this work is to use an embedded controller internal to the FPGA to control the reconfiguration process and obtain the maximum speed at which reconfiguration can occur, with current FPGA technology. The use of Direct Memory Access (DMA) driven operations instead of the current arbitrated bus architectures yielded a 30% increase in the speed of reconfiguration compared to other methods such as OPB_HWICAP and PLB_HWICAP [1]. The use of interrupt driven partial reconfiguration was also introduced, allowing the processor to switch to other tasks during the reconfiguration operation. All of these contributions lead to significant performance improvements over current partial reconfiguration subsystems. The configuration controller was tested using four partially reconfigurable system implementations: (i) one targeting the Hard IP PowerPC405 on Virtex-4, (ii) a second targeting the Soft IP MicroBlaze on Virtex-5, (iii) a third targeting the Hard IP PowerPC440 on Virtex-5, and (iv) a fourth system targets the Hard IP PowerPC440 on Virtex-5 capable of adaptive feedback. The adaptive feedback Virtex-5 system can use internal voltage and temperature measurements from the Xilinx System Monitor IP to dynamically increase or decrease the speed of reconfiguration and/or change other reconfigurable aspects of the system to better match the environment

FPGA dynamic and partial reconfiguration : a survey of architectures, methods, and applications

Dynamic and partial reconfiguration are key differentiating capabilities of field programmable gate arrays (FPGAs). While they have been studied extensively in academic literature, they find limited use in deployed systems. We review FPGA reconfiguration, looking at architectures built for the purpose, and the properties of modern commercial architectures. We then investigate design flows, and identify the key challenges in making reconfigurable FPGA systems easier to design. Finally, we look at applications where reconfiguration has found use, as well as proposing new areas where this capability places FPGAs in a unique position for adoption

Fast self-reconfigurable embedded system on Spartan-3

Many image-processing algorithms require several stages to be processed that cannot be resolved by embedded microprocessors in a reasonable time, due to their high-computational cost. A set of dedicated coprocessors can accelerate the resolution of these algorithms, alt hough the main drawback is the area needed for their implementation. The main advantage of a reconfigurable system is that several coprocessors designed to perform different operations can be mapped on the same area in a time-multiplexed way. This work presents the architecture of an embedded system composed of a microprocessor and a run-time reconfigurable coprocessor, mapped on Spartan-3, the low-cost family of Xilinx FPGAs. Designing reconfigurable systems on Spartan-3 requires much design effort, since unlike higher cost families of Xilinx FPGAs, this device does not officially support partial reconfiguration. In order to overcome this drawback, the paper also describes the main steps used in the design flow to obtain a successful design. The main goal of the presented architecture is to reduce the coprocessor reconfiguration time, as well as accelerate image-processing algorithms. The experimental results demonstrate significant improvement in both objectives. The reconfiguration rate nearly achieves 320 Mb/s which is far superior to th e previous related works.Peer ReviewedPostprint (published version

Dynamic Partial Reconfiguration for Dependable Systems

Moore’s law has served as goal and motivation for consumer electronics manufacturers in the last decades. The results in terms of processing power increase in the consumer electronics devices have been mainly achieved due to cost reduction and technology shrinking. However, reducing physical geometries mainly affects the electronic devices’ dependability, making them more sensitive to soft-errors like Single Event Transient (SET) of Single Event Upset (SEU) and hard (permanent) faults, e.g. due to aging effects. Accordingly, safety critical systems often rely on the adoption of old technology nodes, even if they introduce longer design time w.r.t. consumer electronics. In fact, functional safety requirements are increasingly pushing industry in developing innovative methodologies to design high-dependable systems with the required diagnostic coverage. On the other hand commercial off-the-shelf (COTS) devices adoption began to be considered for safety-related systems due to real-time requirements, the need for the implementation of computationally hungry algorithms and lower design costs. In this field FPGA market share is constantly increased, thanks to their flexibility and low non-recurrent engineering costs, making them suitable for a set of safety critical applications with low production volumes. The works presented in this thesis tries to face new dependability issues in modern reconfigurable systems, exploiting their special features to take proper counteractions with low impacton performances, namely Dynamic Partial Reconfiguration

Dynamic partial reconfiguration for pipelined digital systems— A Case study using a color space conversion engine

In digital hardware design, reconfigurable devices such as Field Programmable Gate Arrays (FPGAs) allow for a unique feature called partial reconfiguration PR). This refers to the reprogramming of a subset of the reconfigurable logic during active operation. PR allows multiple hardware blocks to be consolidated into a single partition, which can be reprogrammed at run-time as desired. This may reduce the logic circuit (and silicon area) requirements and greatly extend functionality. Furthermore, dynamic partial reconfiguration (DPR) refers to PR that does not halt the system during reprogramming. This allows for configuration to overlap with normal processing, potentially achieving better system performance than a static(halting) PR implementation. This work has investigated the advantages and trade-offs of DPR as applied to an existing color space conversion(CSC) engine provided by Hewlett-Packard (HP). Two versions were created: a single-pipeline engine, which can only overlap tasks in specific sequences; and a dual-pipeline engine, which can overlap any consecutive tasks. These were implemented in a Virtex-6 FPGA. Data communication occurs over the PCI Express (PCIe) interface. Test results show improvements in execution speed and resource utilization, though some are minor due to intrinsic characteristics of the CSC engine pipeline. The dual-pipeline version outperformed the single-pipeline in most test cases. Therefore, future work will focus on multiple-pipeline architectures

Optimising and evaluating designs for reconfigurable hardware

Growing demand for computational performance, and the rising cost for chip design and manufacturing make reconfigurable hardware increasingly attractive for digital system implementation. Reconfigurable hardware, such as field-programmable gate arrays (FPGAs), can deliver performance through parallelism while also providing flexibility to enable application builders to reconfigure them. However, reconfigurable systems, particularly those involving run-time reconfiguration, are often developed in an ad-hoc manner. Such an approach usually results in low designer productivity and can lead to inefficient designs. This thesis covers three main achievements that address this situation. The first achievement is a model that captures design parameters of reconfigurable hardware and performance parameters of a given application domain. This model supports optimisations for several design metrics such as performance, area, and power consumption. The second achievement is a technique that enhances the relocatability of bitstreams for reconfigurable devices, taking into account heterogeneous resources. This method increases the flexibility of modules represented by these bitstreams while reducing configuration storage size and design compilation time. The third achievement is a technique to characterise the power consumption of FPGAs in different activity modes. This technique includes the evaluation of standby power and dedicated low-power modes, which are crucial in meeting the requirements for battery-based mobile devices

Dynamically reconfigurable management of energy, performance, and accuracy applied to digital signal, image, and video Processing Applications

There is strong interest in the development of dynamically reconfigurable systems that can meet real-time constraints in energy/power-performance-accuracy (EPA/PPA). In this dissertation, I introduce a framework for implementing dynamically reconfigurable digital signal, image, and video processing systems. The basic idea is to first generate a collection of Pareto-optimal realizations in the EPA/PPA space. Dynamic EPA/PPA management is then achieved by selecting the Pareto-optimal implementations that can meet the real-time constraints. The systems are then demonstrated using Dynamic Partial Reconfiguration (DPR) and dynamic frequency control on FPGAs. The framework is demonstrated on: i) a dynamic pixel processor, ii) a dynamically reconfigurable 1-D digital filtering architecture, and iii) a dynamically reconfigurable 2-D separable digital filtering system. Efficient implementations of the pixel processor are based on the use of look-up tables and local-multiplexes to minimize FPGA resources. For the pixel-processor, different realizations are generated based on the number of input bits, the number of cores, the number of output bits, and the frequency of operation. For each parameters combination, there is a different pixel-processor realization. Pareto-optimal realizations are selected based on measurements of energy per frame, PSNR accuracy, and performance in terms of frames per second. Dynamic EPA/PPA management is demonstrated for a sequential list of real-time constraints by selecting optimal realizations and implementing using DPR and dynamic frequency control. Efficient FPGA implementations for the 1-D and 2-D FIR filters are based on the use a distributed arithmetic technique. Different realizations are generated by varying the number of coefficients, coefficient bitwidth, and output bitwidth. Pareto-optimal realizations are selected in the EPA space. Dynamic EPA management is demonstrated on the application of real-time EPA constraints on a digital video. The results suggest that the general framework can be applied to a variety of digital signal, image, and video processing systems. It is based on the use of offline-processing that is used to determine the Pareto-optimal realizations. Real-time constraints are met by selecting Pareto-optimal realizations pre-loaded in memory that are then implemented efficiently using DPR and/or dynamic frequency control

Design techniques for xilinx virtex FPGA configuration memory scrubbers

SRAM-based FPGAs are in-field reconfigurable an unlimited number of times. This characteristic, together with their high performance and high logic density, proves to be very convenient for a number of ground and space level applications. One drawback of this technology is that it is susceptible to ionizing radiation, and this sensitivity increases with technology scaling. This is a first order concern for applications in harsh radiation environments, and starts to be a concern for high reliability ground applications. Several techniques exist for coping with radiation effects at user application. In order to be effective they need to be complemented with configuration memory scrubbing, which allows error mitigation and prevents failures due to error accumulation. Depending on the radiation environment and on the system dependability requirements, the configuration scrubber design can become more or less complex. This paper classifies and presents current and novel design methodologies and architectures for SRAM-based FPGAs, and in particular for Xilinx Virtex-4QV/5QV, configuration memory scrubbers