Multiple-mode floating-point multiply-add fused unit for trading accuracy with power consumption

Wu, Kun-Yi; Liang, Chih-Yuan; Yu, Kee-Khuan; Kuang, Shiann-Rong

doi:10.1109/icis.2013.6607878

Cited by 8 publications

(4 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For the sensor nodes, we utilize the data from Silicon Lab's EFR32 Mighty Gecko Mesh Networking Wireless SoC, which can be used to implement a Zigbee, Bluetooth, Thread, or a proprietary 2.4 GHz wireless sensor network [21]. Therefore, we take T = 50 s [20], E = 0.05 J, E = 0.14 nJ, E = 1.02 J [21], and E = 0.665 J [22]. The latency and power consumption results of the F-Rep. cooperation (each node transmits a cooperative packet in phase 2 to the BS, as in [13]), CH cooperation (each CH node transmits a cooperative packet in phase 2 to the BS, as in [14]), and the relayed transmission (a relay node forwards the data for a source node without any cooperation mechanism) are shown in Figures 5 and 6, respectively.…”

Section: Latency and Power Consumptionmentioning

confidence: 99%

Highly Reliable Decision‐Making Using Reliability Factor Feedback for Factory Condition Monitoring via WSNs

Iqbal

Lee

Nooshabadi

2018

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

Cooperation among sensors in a wireless sensor network, deployed for industrial monitoring in an indoor scenario, is a topic of interest in the smart factory and smart city research. The indoor wireless communication channel is very harsh and the observations of all the sensors cannot be sent reliably to the base station. Failure to transmit correct sensing results to the base station may result in false alarms or missed detection of events. Therefore, we propose a cooperation scheme for the wireless sensors to send the data reliably to the base station. Our aim is to increase the reliability of the received information, reduce the probability of error, lower the overall power consumption, and keep the latency to an acceptable low level. We propose a reliability factor feedback algorithm to adjust the weight of unreliable sensors in the decision-making process. The proposed scheme is analyzed based on its latency, power consumption, and packet delivery ratio. Our results show significant improvement in the reliability of the received data, improved packet delivery, and reduced false alarm ratio for full repetition and cluster head-based cooperation. The power consumption and latency in data transmission are also kept to an acceptable low level.

show abstract

Section: Latency and Power Consumptionmentioning

confidence: 99%

Highly Reliable Decision‐Making Using Reliability Factor Feedback for Factory Condition Monitoring via WSNs

Iqbal

Lee

Nooshabadi

2018

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

show abstract

“…FMA in Ref. 22 proposed iterative multiplications and truncated additions with low power consumption. This FMA will be compared with our results.…”

Section: Related Workmentioning

confidence: 99%

“…FMA of Ref. 22 had a trade-o® between area and power. However, it concluded to lose AD characteristics to achieve less power consumption.…”

Section: Ppa Analysismentioning

confidence: 99%

Proxy Bits for Low Cost Floating-Point Fused Multiply–Add Unit

Kim

Moon

2016

J CIRCUIT SYST COMP

View full text Add to dashboard Cite

A new°oating-point fused multiply-add (FMA) unit is proposed in this paper. We observed a group of redundant bits that have no e®ect on the e®ective results of the°oating-point FMA arithmetic, and¯gured out that two proxy bits can replace the redundant bits. We proved the existence of the proxy bits using binary arithmetic keeping track of the negligible bits. Using proxy bits, the proposed FMA unit achieves improvement in terms of cost, power consumption, and performance. The results show that the proposed FMA unit reduces the total area and latency by approximately 17.0% and 32% respectively, compared with a current widely used FMA unit.

show abstract

“…Wu, Kun-Yi, et al [10] presented a multiple-mode FP multiply-add fused unit. This proposed architecture utilizes the multiplication and shortened addition approaches in order to maintain 7 modes of operation having several errors for low power applications.…”

Section: Introductionmentioning

confidence: 99%

Implementation of Fast and Efficient Mac Unit on FPGA

Raghav¹,

Mittal²

2016

IJMSC

View full text Add to dashboard Cite

Floating-point arithmetic operations on digital systems have become an important aspect of research in recent times. Many architecture have been proposed and implemented by various researchers and their merits and demerits are compared. Floating point numbers are first converted into the IEEE 754 single or double precision format in order to be used in the digital systems. The arithmetic operations require various steps to be followed for the correct and accurate steps. In the proposed approach a fast and area efficient Carry Select Adder are implemented along with the parallel processing of various units used in the architecture. The result also verifies the proposed approach that shows a decrement of 27 % in the combinational path delay with an increment of around 8% in the number of LUTs used.

show abstract

Multiple-mode floating-point multiply-add fused unit for trading accuracy with power consumption

Cited by 8 publications

References 23 publications

Highly Reliable Decision‐Making Using Reliability Factor Feedback for Factory Condition Monitoring via WSNs

Highly Reliable Decision‐Making Using Reliability Factor Feedback for Factory Condition Monitoring via WSNs

Proxy Bits for Low Cost Floating-Point Fused Multiply–Add Unit

Implementation of Fast and Efficient Mac Unit on FPGA

Contact Info

Product

Resources

About