₹35,000.00Original price was: ₹35,000.00.₹20,000.00Current price is: ₹20,000.00.
Source : Verilog HDL
Abstract:
There is an emerging need to design configurable accelerators for the high-performance computing (HPC) and artificial intelligence (AI) applications in different precisions. Thus, the floating-point (FP) processing element (PE), which is the key basic unit of the accelerators, is necessary to meet multiple-precision requirements with energy-efficient operations. However, the existing structures by using high-precision-split (HPS) and low-precision-combination (LPC) methods result in low utilization rate of the multiplication array and long multi term processing period, respectively. In this article, a configurable FP multiple-precision PE design is proposed with the LPC structure. Half precision, single precision, and double precision are supported. The 100% multiplier utilization rate of the multiplication array for all precisions is achieved with improved speed in the comparison and summation process. The proposed design is realized in a 28-nm process with 1.429-GHz clock frequency. Compared with the existing multiple-precision FP methods, the proposed structure achieves 63% and 88% areasaving performance for FP16 and FP32 operations, respectively. The 4× and 20× maximum throughput rates are obtained when compared with fixed FP32 and FP64 operations. Compared with the previous multiple-precision PEs, the proposed one achieves the best energy-efficiency performance with 975.13 GFLOPS/W.
List of the following materials will be included with the Downloaded Backup:
₹15,000.00Original price was: ₹15,000.00.₹10,000.00Current price is: ₹10,000.00.
Source : VHDL
Abstract:
A floating-point fused dot-product unit is presented that performs single-precision floating-point multiplication and addition operations on two pairs of data in a time that is only 150% the time required for a conventional floating-point multiplication. When placed and routed in a 45nm process, the fused dot-product unit occupied about 70% of the area needed to implement a parallel dot-product unit using conventional floating-point adders and multipliers. The speed of the fused dot-product is 27% faster than the speed of the conventional parallel approach. The numerical result of the fused unit is more accurate because one rounding operation is needed versus at least three for other approaches.
List of the following materials will be included with the Downloaded Backup:
We can provide Online Support Wordlwide, with proper execution, explanation and additionally provide explanation video file for execution and explanations.
24/7 Support Center
NXFEE, will Provide on 24x7 Online Support, You can call or text at +91 9789443203, or email us nxfee.innovation@gmail.com
Terms & Conditions:
Customer are advice to watch the project video file output, and before the payment to test the requirement, correction will be applicable.
After payment, if any correction in the Project is accepted, but requirement changes is applicable with updated charges based upon the requirement.
After payment the student having doubts, correction, software error, hardware errors, coding doubts are accepted.
Online support will not be given more than 3 times.
On first time explanation we can provide completely with video file support, other 2 we can provide doubt clarifications only.
If any Issue on Software license / System Error we can support and rectify that within end of day.
Extra Charges For duplicate bill copy. Bill must be paid in full, No part payment will be accepted.
After payment, to must send the payment receipt to our email id.
Powered by NXFEE INNOVATION, Pondicherry.
Call us today at : +91 9789443203 or Email us at nxfee.innovation@gmail.com