scholarly journals Low-Complexity Online Synthesis for AMIDAR Processors

2010 ◽  
Vol 2010 ◽  
pp. 1-15 ◽  
Author(s):  
Stefan Döbrich ◽  
Christian Hochberger
Keyword(s):  
Expert Knowledge ◽  
Low Complexity ◽  
Coarse Grained ◽  
Strong Impact ◽  
Reconfigurable Logic ◽  
Gate Arrays ◽  
Reconfigurable Arrays ◽  
Field Programmable ◽  
Programmable Gate Arrays ◽  
Synthesis Approach

Future chip technologies will change the way we deal with hardware design. First of all, logic resources will be available in vast amount. Furthermore, engineering specialized designs for particular applications will no longer be the general approach as the nonrecurring expenses will grow tremendously. Reconfigurable logic has often been promoted as a solution to these problems. Today, it can be found in two varieties: field programmable gate arrays or coarse-grained reconfigurable arrays. Using this type of technology typically requires a lot of expert knowledge, which is not sufficiently available. Thus, we believe that online synthesis that takes place during the execution of an application is one way to broaden the applicability of reconfigurable architectures. In this paper, we show that even a relative simplistic synthesis approach with low computational complexity can have a strong impact on the performance of compute intensive applications.

Low-Complexity Nonlinear Self-Inverse Permutation for Creating Physically Clone-Resistant Identities

Cryptography ◽  
2020 ◽  
Vol 4 (1) ◽  
pp. 6 ◽  
Author(s):  
Saleh Mulhem ◽  
Ayoub Mars ◽  
Wael Adi
Keyword(s):  
Field Programmable Gate Arrays ◽  
Low Complexity ◽  
System On Chip ◽  
Large Classes ◽  
Physical Unclonable Functions ◽  
Gate Arrays ◽  
Field Programmable ◽  
Programmable Gate Arrays ◽  
Security Levels ◽  
On Chip

New large classes of permutations over ℤ 2 n based on T-Functions as Self-Inverting Permutation Functions (SIPFs) are presented. The presented classes exhibit negligible or low complexity when implemented in emerging FPGA technologies. The target use of such functions is in creating the so called Secret Unknown Ciphers (SUC) to serve as resilient Clone-Resistant structures in smart non-volatile Field Programmable Gate Arrays (FPGA) devices. SUCs concepts were proposed a decade ago as digital consistent alternatives to the conventional analog inconsistent Physical Unclonable Functions PUFs. The proposed permutation classes are designed and optimized particularly to use non-consumed Mathblock cores in programmable System-on-Chip (SoC) FPGA devices. Hardware and software complexities for realizing such structures are optimized and evaluated for a sample expected target FPGA technology. The attained security levels of the resulting SUCs are evaluated and shown to be scalable and usable even for post-quantum crypto systems.

Field-Programmable Gate Array

2021 ◽  
pp. 257-270
Author(s):  
Mário Pereira Véstias
Keyword(s):  
Integrated Circuits ◽  
Field Programmable Gate Array ◽  
Field Programmable Gate Arrays ◽  
Software Systems ◽  
Reconfigurable Logic ◽  
Memory Cache ◽  
Gate Arrays ◽  
Field Programmable ◽  
Programmable Device ◽  
Programmable Gate Arrays

Field-programmable gate arrays (FPGAs) are integrated circuits whose logic and their interconnections are configurable. These devices are field-programmable, that is, they can be configured by the hardware designer without any intervention of the manufacturer. Most FPGAs can be reprogrammed as many times as we want with a vast variety of digital circuits. Some recent FPGA families are system-on-chips (SoC) with one or more microprocessor cores, memory, cache, and reconfigurable logic allowing the implementation of complex hardware/software systems in a single programmable device. This article focuses on the architecture of FPGAs, including the so called SoC FPGA. It explains the main blocks of the FPGA, how they have evolved along the last decades and the perspectives of next generation FPGAs. It also describes some applicability areas and how its architecture have evolved to adapt to some of these target markets.

scholarly journals FPGA-Based Controller for a Hybrid Grid-Connected PV/Wind/Battery Power System with AC Load

Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2108
Author(s):  
Mohamed Yassine Allani ◽  
Jamel Riahi ◽  
Silvano Vergura ◽  
Abdelkader Mami
Keyword(s):  
Fuzzy Logic ◽  
Hybrid System ◽  
High Voltage ◽  
Field Programmable Gate Arrays ◽  
Energy System ◽  
Maximum Power ◽  
Hybrid Energy ◽  
Gate Arrays ◽  
Field Programmable ◽  
Programmable Gate Arrays

The development and optimization of a hybrid system composed of photovoltaic panels, wind turbines, converters, and batteries connected to the grid, is first presented. To generate the maximum power, two maximum power point tracker controllers based on fuzzy logic are required and a battery controller is used for the regulation of the DC voltage. When the power source varies, a high-voltage supply is incorporated (high gain DC-DC converter controlled by fuzzy logic) to boost the 24 V provided by the DC bus to the inverter voltage of about 400 V and to reduce energy losses to maximize the system performance. The inverter and the LCL filter allow for the integration of this hybrid system with AC loads and the grid. Moreover, a hardware solution for the field programmable gate arrays-based implementation of the controllers is proposed. The combination of these controllers was synthesized using the Integrated Synthesis Environment Design Suite software (Version: 14.7, City: Tunis, Country: Tunisia) and was successfully implemented on Field Programmable Gate Arrays Spartan 3E. The innovative design provides a suitable architecture based on power converters and control strategies that are dedicated to the proposed hybrid system to ensure system reliability. This implementation can provide a high level of flexibility that can facilitate the upgrade of a control system by simply updating or modifying the proposed algorithm running on the field programmable gate arrays board. The simulation results, using Matlab/Simulink (Version: 2016b, City: Tunis, Country: Tunisia, verify the efficiency of the proposed solution when the environmental conditions change. This study focused on the development and optimization of an electrical system control strategy to manage the produced energy and to coordinate the performance of the hybrid energy system. The paper proposes a combined photovoltaic and wind energy system, supported by a battery acting as an energy storage system. In addition, a bi-directional converter charges/discharges the battery, while a high-voltage gain converter connects them to the DC bus. The use of a battery is useful to compensate for the mismatch between the power demanded by the load and the power generated by the hybrid energy systems. The proposed field programmable gate arrays (FPGA)-based controllers ensure a fast time response by making control executable in real time.

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