Purpose The small area network for data communication within routers is suffering from storage of packet, throughput, latency and power consumption. There are a lot of solutions to increase speed of commutation and optimization of power consumption; one among them is Network-on-chip (NoC). In the literature, there are several NoCs which can reconfigurable dynamically and can easily test and validate the results on FPGA. But still, NoCs have limitations which are regarding chip area, reconfigurable time and throughput. Design/methodology/approach To address these limitations, this research proposes the dynamically buffered and bufferless reconfigurable NoC (DB2R NoC) using X-Y algorithm for routing, Torus for switching and Flexible Direction Order (FDOR) for direction finding between source and destination nodes. Thus, the 3 × 3 and 4 × 4 DB2R NoCs are made free from deadlock, low power and latency and high throughput. To prove the applicability and performance analysis of DB2R NoC for 3 × 3 and 4 × 4 routers on FPGA, the 22 bits for buffered and 19 bit for bufferless designs have been successfully synthesized using Verilog HDL and implemented on Artix-7 FPGA development bond. The virtual input/output chips cope pro tool has been incorporated in the design to verify and debug the complete design on Artix-7 FPGA. Findings In the obtained result, it has been found that 35% improvement in throughput, 23% improvement in latency and 47% optimization in area has been made. The complete design has been tested for 28 packets of injection rate 0.01; the packets have been generated by using NLFSR. Originality/value In the obtained result, it has been found that 35% improvement in throughput, 23% improvement in latency and 47% optimization in area has been made. The complete design has been tested for 28 packets of injection rate 0.01; the packets have been generated by using NLFSR.
Asynchronous NOCs are most prominent in present SOC designs, due to their low dynamic power consumption, modularity, heterogeneous nature, and robustness to the process variations. Though asynchronous designs are proved efficient over synchronous counterparts, they have some severe drawbacks when area and speed are considered, due to complex handshake control circuits which increase the static power loss. Quasidelay insensitive (QDI) class of asynchronous NOCs based on 2-phase encoding is proved beneficial for speed and throughput enhancement but with complex design. The work has introduced lightweight minimal buffer router based on LEDR encoding to design a low power, high speed with compact NOC architecture. Then, minimal buffer router with FSM-based arbiter and priority assigner block is designed to enhance the speed, power, and area. This proposed work achieves zero dynamic power consumption with a total power consumption of less than 0.082 W with a router latency of 0.8 ns.
Elliptic curve cryptography, which is more commonly referred to by its acronym ECC, is widely regarded as one of the most effective new forms of cryptography developed in recent times. This is primarily due to the fact that elliptic curve cryptography utilises excellent performance across a wide range of hardware configurations in addition to having shorter key lengths. A High Throughput Multiplier design was described for Elliptic Cryptographic applications that are dependent on concurrent computations. A Proposed (Carry-Select) Division Architecture is explained and proposed throughout the whole of this work. Because of the carry-select architecture that was discussed in this article, the functionality of the divider has been significantly enhanced. The adder carry chain is reduced in length by this design by a factor of two, however this comes at the expense of additional adders and control. When it comes to designs for high throughput FFT, the total number of butterfly units that are implemented is what determines the amount of space that is needed by an FFT processor. In addition to blocks that may either add or subtract numbers, each butterfly unit also features blocks that can multiply numbers. The size of the region that is covered by these dual mathematical blocks is decided by the bit resolution of the models. When the bit resolution is increased, the area will also increase. The standard FFT approach requires that each stage contain times as many butterfly units as the stage before it. This requirement must be met before moving on to the next stage.
In processors and in digital circuit designs, adder is an important component. As a result, adder is the main area of research in VLSI system design for improving the performance of a digital system. The performance depends on power consumption and delay. Adders are not only used for arithmetic operations, but also for calculating addresses and indices. In digital design we have half adder and full adder, by using these adders we can implement ripple carry adder (RCA). RCA is used to perform any number of additions. In this RCA is serial adder and it has propagation delay problem. With increase in hard & fast circuits, delay also increases simultaneously. That’s the reason these Carry look ahead adders (CLA) are used. The carry look ahead adder speeds up the addition by reducing the amount of time required to determine carry bits. It uses two blocks, carry generator (Gi) and carry propagator (Pi) which finds the carry bit in advance for each bit position from the nearest LSB, if the carry is 1 then that position is going to propagate a carry to next adder.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.