VII. ALGORITHMS USED In the following, we present three different algorithms to reduce the total power consumption. Each of these algorithms establishes a different method to process the variable precision data held in the operands buffer. In the following, the specified throughput Tp for the proposed 32 × 32 bit multiplier is 64 F (Mbits/s), where F is the multiplier’s operating frequency A. Algorithm A In the first algorithm, the multiplier throughput Tp = 64 F is kept constant by fixing the operating frequencies (f32−, f16−, or f8) of each precision-data group (32-, 16- or 8-bit) to f32 = F, f16 = F/2, f8 = F/4 (5) B. Algorithm …show more content…
The Pcompu_overhead is reduced due to the complete removal of voltage transitions. C. Algorithm C The aim of algorithm C is to find such an optimum for reduced power consumption. To reduce complexity, we will only try to find to minimize the dynamic power dissipated as a result of the computation. P=V2fC (9) =Cm32V2min32f32+Cm16V2min16f16+Cm8V2min8f8 (10) =Ӽ( f32, f16) (11) The comparison of above three algorithms for 8, 16 and 32 bit operands with corresponding voltage and frequency are tabulated in table I TABLE I Algorithm and its corresponding voltage and frequency BITS OF OPERANDS ALGORITHM
In this section we first briefly explain the properties of a first-order Delta Sigma modulated bit-stream. Based on these properties, we propose the P-N pair method to process the Delta Sigma modulated bit-streams.
Level 1 :As per the Considered Data Sets: (Generated nearby values through Rough Data Sets Theory Produces)
A 32-bit program can process 32 bits of data at once enabling a 32-bit program to do all calculations in one operation. This speeds the processing of your data.
1.19)Ans.The interrupts are used to indicate events like change in events or if any error occurs or freeing of resources or I/o
We were assigned to construct a software that utilizes a classification algorithm that is able to accurately decide a correct classification for a certain sequence of inputs that were provided by the user. The input is to be classified based on a known training set of records of the same attributes as the sequence provided by the user.
After algorithm 1, we get the DI matrix. We artificially choose a value T near 1(such as 0.8) as the threshold of DI. The label matrix R is then generated by this threshold T.
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In order to evaluate the performance of the proposed DCHS algorithm, we compare MILP with the energy consumption and delay constrained routing protocol.
Inter symbol interference (ISI) is avoided by assuming the duration of cyclic long enough and furthermore the channel is assumed to be stationary within one symbol period ( h(k)=hr ).
This project is designed to make the FPGA as a Calculator that receives two four bit binary numbers and do four different operations on those two numbers. The four operations are addition, subtraction, division, and XOR (bit wise operation). The project is designed with top model and sub modules. Moreover, when the user enters the two inputs in binary the result will display in decimal except for the last operation which is the bit wise (XOR) that should be displayed in binary. The only challenge part that I wasn’t able to fix is I have very long code because I saved the result from add, subtract, and multiplication in a register and had to do check from 0-225 cases and that’s how I can display the binary numbers on the FPGA board.
The term computer arithmetic refers to the arithmetic operation performed by the computer system. These arithmetic operations take place via a series of micro-operation, known as arithmetic micro-operations. These micro-operations take place by the use of Arithmetic Logical Unit (A.L.U).This circuit is further composed of two units. The arithmetic Unit and the logical unit composed of logic gates, multiplexers, wires and other logical circuit elements
4. Performance Comparison of Dual Core Processors Using Multiprogrammed and Multithreaded Benchmarks ............................................................................................... 31 4.1 Overview ........................................................................................................... 31 4.2 Methodology ..................................................................................................... 31 Multiprogrammed Workload Measurements .................................................... 33 4.3 4.4 Multithreaded Program Behavior ..................................................................... 36 5. 6. Related Work ............................................................................................................ 39 Conclusion ................................................................................................................ 41
Key words: Double-tail comparator, dynamic clocked comparator, high-speed analog-to-digital converters (ADCs), low-power analog design, inverter op-amp.
Energy consumption of data communication systems is becoming an important issue due to the large use of devices. The evaluation of energy consumption can be done from various perspectives which include implementation and hardware issues as circuit consumption and non ideal performing signal processing algorithms for data recovery \cite{LI11, AUER11}. In fact, it is well-known that the minimum signal energy per information bit that is required for reliable communications in a Gaussian channel can be obtained from the minimum signal-to-noise ratio (SNR) that is equal to $-1.59$~dB. This result was firstly derived in~\cite{SHAN49} in the asymptotic regime assuming that the transmission of the information requires an infinite amount of time. More recently it has been extended to a general class of channels in~\cite{VERD02} and it has been shown that it can be achieved as the bandwidth goes to infinity.
The main objective for the consideration a designed ADCs for the complete SoC are high speed and low power consumption. For a Low