A flexible power model for fpgas pdf

This design uses several lmz3 series modules, ldos, and a ddr termination regulator to provide all the necessary rails to power the fpga. Figure 6 illustrates how power is consumed when an inverter switches a capacitive load. Consequently, power estimation in highlevel synthesis must consider total wire capacitance. Enabling efficient and flexible fpga virtualizationfor. Our newest power solutions deliver the performance, ease of use, and flexibility required for todays. In this approach, the internal structure of the fpga needs to be fully explored. The model estimates the dynamic, short circuit, and leakage power for a wide variety of fpga architectures. Design of field programmable gate array fpga based. The model contains includes terms for dynamic power, shortcircuit power, and leakage power. An analytical dynamic and leakage power model for fpgas. Hardwaresoftware cosynthesis of low power realtime. This paper describes a flexible power model for fpgas. This cited by count includes citations to the following articles in scholar.

The configurable nature, small realestate, and lowpower properties of fpgas allow for computationally expensive cnns to be moved to the node. However, several issues such as glitch power analysis. Deepip is a fully customizable ip core that accepts trained machine learning models from most commercial machine learning tools and. A power estimation method, which is based on power modeling of different components in an fpga, is proposed in 12. Such a model will be essential in the design and research of nextgeneration fpgas, where power will be one of the primary optimization goals. Routing power model a significant portion of total dynamic power is consumed in the programmable routing fabric of the fpga. Although the techniques we employ have been used before, the integration of these techniques into a flexible power model for fpgas is a novel approach. Fpgas offer a parallel and flexible hardware platform. Powersupply design and management for fpgas is an important part of the overall application. It also features two lm3880s for flexible power up and power down sequencing. Modeling the instantaneous power consumption of an fpga. It gives an overview of various techniques at system, device, and circuit and architecture level used for reduction of power consumption of fpgas and their outcomes.

It is the first flexible power model developed to evaluate architectural tradeoffs and the efficiency of power aware cad tools for a variety of fpga architectures, and is freely available for noncommercial use. Flexible power management units for lowpower xilinx fpgas lp3906 includes. Designing such applications is challenging, however. Cc at a wider range of values and enables a flexible powerperformance strategywhich is not possible with the 28 hp process. Highly flexible and high performance network processing with recon.

This power model estimates the dynamic, shortcircuit, and leakage power consumed by fpgas. Index terms static and dynamic power, embedded memories, body biasing, clock gating, glitches, logic. Lowering power at 28 nm with xilinx 7 series devices by. The ones marked may be different from the article in the profile. Output capacitance and transient considerations a good power supply design will keep the core voltage within tolerance at all times. A detailed power model for field programmable gate arrays. Lowpower highlevel synthesis for fpga architectures. Powersupply solutions for xilinx fpgas tutorial maxim. In order to achieve this the standard decoupling method is to place the. Simulating fpga power integrity using sparameter models. Hardwaresoftware cosynthesis of low power realtime distributed embedded systems with dynamically reconfigurable fpgas.

The average percentage of leakage power over all the benchmark circuits in our experiments can reach 59% for certain fpga architecture. Lowering power at 28 nm with xilinx 7 series fpgas white. Flexible power management units for lowpower xilinx. Fpgas effectively implement software algorithms in hardware for optimized performance, but also provide the energy efficiency to minimize deployment power requirements. Using representative signal activity data during power analysis is. Fieldprogrammable gate arrays fpgas are used in a wide variety of applications and end markets, and they have been gaining market share over asics due to their excellent design flexibility and low engineering costs. A good power analysis tool should provide a flexible framework for specifying signal activities. Preliminary testing on the model shows that it can correctly simulate a modified. Architecture and synthesis for powerefficient fpgas. Inferencing is about running the model on brand new data in an application. In this work, we first explore the accuracy of applying rents rule for wire length estimation during highlevel synthesis for fpga architectures. In what remains, we will detail our approach by the application of this technique to the emulation concept of a dcm process, followed by the obtained results and the discussion. Accurate area, time and power models for fpgabased. In particular, our results show that leakage power emerges as a major source of power consumption in future fpgas.

Works in 1114 address the power estimation optimization problem in fpgas. As fpgas appear as part of cloud computing infrastructure, we expect that these advantages will lead more and more designers to take advantage of the bene. Cc at a wider range of values and enables a flexible powerperformance strategywhich. Power supply design considerations for modern fpgas. Cdl accelerates a wide range of layers typically associated with cnns.

In this paper, we propose f5hd, a fast and flexible fpgabased framework for refreshing the performance of hd computing. There are multiple fpgas in the data center, with each fpga as a single node. Wilton, a flexible power model for fpgas, 12th international conference on fieldprogrammable logic and applications, sept 2002. These models are also utilized to develop accurate power models that consider the effect of logic power, signal power, clock power and io power.

The scope of this work is to enable virtualization on a single fpga of the node level. To harness the power of fpgas using opencl programming model, it is advantageous to design an analytical performance model to es. Detailedmodels for accurately estimating the number of slices, block rams and 18x18bit multipliers for. Pdf in this work, we demonstrate flexible query processor fqp, an online reconfigurable event stream query processor. Lowering power at 28 nm with xilinx 7 series fpgas by.

Pdf power estimation of dividers implemented in fpgas. Design flow for embedded fpgas based on a flexible. Core deep learning a deep learning platform optimized. Design flow for embedded fpgas based on a flexible architecture template b. This course can also be taken for academic credit as ecea 5360, part of cu boulders master of science in electrical engineering degree. Pdf an analytical dynamic and leakage power model for fpgas. Xilinx wp389 lowering power at 28 nm with xilinx 7 series. Core deep learning cdl from asic design services is a scalable and flexible convolutional neural network cnn solution for fpgas. Flexible implementation of genetic algorithms on fpgas. Reduction of power consumption in fpgas an overview.

Among other solution, one of the most adopted has been exploiting the cooperation between general purpose processors and fpgas in. Learn introduction to fpga design for embedded systems from university of colorado boulder. Modeling the instantaneous power consumption of an fpga a major qualifying project report. The pmp9365 reference design provides all the power supply rails necessary to power alteras stratix v family of fpgas. These models are designed to facilitate efficient design space exploration in an automated algorithmarchitecture codesign framework. It is the first flexible power model developed to evaluate architectural tradeoffs and the efficiency of poweraware cad tools for a variety of fpga architectures, and is freely available for noncommercial use. Fpgas, applicable to various problems such as knapsack problem and traveling salesman problem tsp, and easy to estimate the size of the resulting circuit. This article discusses ways to overcome some of the powersupply design challenges and explains the tradeoffs between cost, size, and efficiency. Pol and power distribution system fpgas with lower core voltage needs will require a large amount of current, which has to be supplied with a reasonably low noise floor and a minimum amount of ripple voltage. Hls technique is a good candidate to ensure the last cited conditions. Exploring alternative flexible opencl flexcl core designs in fpgabased mpsoc systems.

This paper presents accurate area, time, power estimation models for implementations using fpgas from the xilinx virtex2pro family deng et al. Introduction to fpga design for embedded systems coursera. This paper presents a flexible fpga architecture evaluation framework, named fpgaevalp, for power efficiency analysis of lutbased fpga architectures. Xilinx has selected maxim as the preferred power supplier for the latest high performance fpga reference designs, including xilinxs latest 7nm acap platformversal. In this paper we present a state dependent analytical leakage power model for fpgas. F5hd eliminates the arduous task of handcrafted designing of hardware accelerators by automatically generating an fpga imple. The purpose of a power distribution network pdn is to provide power to electrical devi ces in a system. Deepip is a deep learning ip for xilinx fpgas that allows you to focus on training your ai model rather than writing fpga code. An analytical performance model for opencl workloads on flexible fpgas shuo wang, yun liang center for energyef. In order to reduce the reconfiguration overhead, many new reconfigurable. In contrast, the hdl ast is designed to model the rtl hdl concept and be suitable for hdl optimizations without being. A detailed power model for fieldprogrammable gate arrays. Highlevel power modeling of cplds and fpgas li shang and niraj k. In general, inferencing of a model is a specific task, including facial recognition and language translation, which maps well to the strengths of fpgas.