SOFTWARE BASED CALCULATION OF CAPACITY OUTAGE OF GENERATING UNITSvivatechijri
The main theme of the project is to develop software for calculating the reliability & capacity outage table for generation purposes. The method for the calculation is quite lengthy, complex & a high possibility to get a human error during the calculation. The methods used to calculate reliability & capacity outage are Digital Method, Partial Binomial Method & Recursive Method, this method is highly recommended, but can be complex during the actual calculation. To justify the need for this method & also to remove the human error factor during quicker & better calculation, the software is made with the help of the python software. The python-based website will be easily accessible to use to any sort of user, choosing python program was a better option as it does not compile but interprets the calculation are in constant runtime with the input of values, this program helps in developing highly complex calculation which is up to many decimal points.
IMPLEMENTATION OF UNSIGNED MULTIPLIER USING MODIFIED CSLAeeiej_journal
Multiplications and additions are most widely and more often used arithmetic computations performed in
all digital signal processing applications. Addition is the basic operation for many digital application. The
aim is to develop area efficient, high speed and low power devices. Accurate operation of a digital system
is mainly influenced by the performance of the adders. Multipliers are also very important component in
digital systems
Welcome to the Digital Signal Processing (DSP) Lab Manual. This manual is designed to be your comprehensive guide throughout your DSP laboratory sessions. Digital Signal Processing is a fundamental field in electrical engineering and computer science that deals with the manipulation of digital signals to achieve various objectives, such as filtering, transformation, and analysis. In this lab, you will have the opportunity to apply theoretical knowledge to practical, hands-on exercises that will deepen your understanding of DSP concepts.
This manual is structured to provide you with step-by-step instructions, explanations, and insights into the experiments you'll be performing. Each experiment is carefully designed to reinforce your understanding of fundamental DSP principles and help you develop the skills necessary for signal processing applications. Whether you are a student or an instructor, this manual is intended to facilitate a productive and enriching DSP lab experience.
Welcome to the Digital Signal Processing (DSP) Lab Manual. This manual is designed to be your comprehensive guide throughout your DSP laboratory sessions. Digital Signal Processing is a fundamental field in electrical engineering and computer science that deals with the manipulation of digital signals to achieve various objectives, such as filtering, transformation, and analysis. In this lab, you will have the opportunity to apply theoretical knowledge to practical, hands-on exercises that will deepen your understanding of DSP concepts.
This manual is structured to provide you with step-by-step instructions, explanations, and insights into the experiments you'll be performing. Each experiment is carefully designed to reinforce your understanding of fundamental DSP principles and help you develop the skills necessary for signal processing applications. Whether you are a student or an instructor, this manual is intended to facilitate a productive and enriching DSP lab experience.
ICIAM 2019: A New Algorithm Model for Massive-Scale Streaming Graph AnalysisJason Riedy
Applications in many areas analyze an ever-changing environment. On billion vertices graphs, providing snapshots imposes a large performance cost. We propose the first formal model for graph analysis running concurrently with streaming data updates. We consider an algorithm valid if its output is correct for the initial graph plus some implicit subset of concurrent changes. We show theoretical properties of the model, demonstrate the model on various algorithms, and extend it to updating results incrementally.
EFFICIENT IMPLEMENTATION OF 16-BIT MULTIPLIER-ACCUMULATOR USING RADIX-2 MODIF...VLSICS Design
In this paper, we propose a new multiplier-and-accumulator (MAC) architecture for low power and high speed arithmetic. High speed and low power MAC units are required for applications of digital signal processing like Fast Fourier Transform, Finite Impulse Response filters, convolution etc. For improving the speed and reducing the dynamic power, there is a need to reduce the glitches (1 to 0 transition) and spikes (0 to 1 transition). Adder designed using spurious power suppression technique (SPST) avoids the unwanted glitches and spikes, thus minimizing the switching power dissipation and hence the dynamic power. Radix -2 modified booth algorithm reduces the number of partial products to half by grouping of bits from the multiplier term, which improves the speed. The proposed radix-2 modified Booth algorithm
MAC with SPST gives a factor of 5 less delay and 7% less power consumption as compared to array MAC
A prototype based on SCADA system was developed as a result of the final project of the discipline entitled Applied Microcontrollers to Control and Automation Engineering. This course has project based learning (PBL) methodology. he prototype has a drive unit and a computer program. This evice was developed using a PIC18F4550 microcontroller and various electronic components: resistors, capacitors, LEDs, among others. The computer program was developed using programming language C Sharp (C #) in Visual Studio development environment. The interface between the program and the device is performed via USB communication. This prototype is now used in the discipline mentioned in order to teach practical lessons about embedded systems projects, USB communication, data acquisition and supervisory systems. As all stages of the project were presented to the students in a very detailed way and its development was performed on a real application, the students showed a lot of interest about this tool during the last school year.
Braun’s Multiplier Implementation using FPGA with Bypassing Techniques.VLSICS Design
The developing an Application Specific Integrated Circuits (ASICs) will cost very high, the circuits should be proved and then it would be optimized before implementation. Multiplication which is the basic building block for several DSP processors, Image processing and many other. The Braun multipliers can easily be implemented using Field Programmable Gate Array (FPGA) devices. This research presented the comparative study of Spartan-3E, Virtex-4, Virtex-5 and Virtex-6 Low Power FPGA devices. The implementation of Braun multipliers and its bypassing techniques is done using Verilog HDL. We are proposing that adder block which we implemented our design (fast addition) and we compared the results of that so that our proposed method is effective when compare to the conventional design. There is the reduction in the resources like delay LUTs, number of slices used. Results are showed and it is verified using the Spartan-3E, Virtex-4 and Virtex-5 devices. The Virtex-5 FPGA has shown the good performance as compared to Spartan-3E and Virtex-4 FPGA devices.
SOFTWARE BASED CALCULATION OF CAPACITY OUTAGE OF GENERATING UNITSvivatechijri
The main theme of the project is to develop software for calculating the reliability & capacity outage table for generation purposes. The method for the calculation is quite lengthy, complex & a high possibility to get a human error during the calculation. The methods used to calculate reliability & capacity outage are Digital Method, Partial Binomial Method & Recursive Method, this method is highly recommended, but can be complex during the actual calculation. To justify the need for this method & also to remove the human error factor during quicker & better calculation, the software is made with the help of the python software. The python-based website will be easily accessible to use to any sort of user, choosing python program was a better option as it does not compile but interprets the calculation are in constant runtime with the input of values, this program helps in developing highly complex calculation which is up to many decimal points.
IMPLEMENTATION OF UNSIGNED MULTIPLIER USING MODIFIED CSLAeeiej_journal
Multiplications and additions are most widely and more often used arithmetic computations performed in
all digital signal processing applications. Addition is the basic operation for many digital application. The
aim is to develop area efficient, high speed and low power devices. Accurate operation of a digital system
is mainly influenced by the performance of the adders. Multipliers are also very important component in
digital systems
Welcome to the Digital Signal Processing (DSP) Lab Manual. This manual is designed to be your comprehensive guide throughout your DSP laboratory sessions. Digital Signal Processing is a fundamental field in electrical engineering and computer science that deals with the manipulation of digital signals to achieve various objectives, such as filtering, transformation, and analysis. In this lab, you will have the opportunity to apply theoretical knowledge to practical, hands-on exercises that will deepen your understanding of DSP concepts.
This manual is structured to provide you with step-by-step instructions, explanations, and insights into the experiments you'll be performing. Each experiment is carefully designed to reinforce your understanding of fundamental DSP principles and help you develop the skills necessary for signal processing applications. Whether you are a student or an instructor, this manual is intended to facilitate a productive and enriching DSP lab experience.
Welcome to the Digital Signal Processing (DSP) Lab Manual. This manual is designed to be your comprehensive guide throughout your DSP laboratory sessions. Digital Signal Processing is a fundamental field in electrical engineering and computer science that deals with the manipulation of digital signals to achieve various objectives, such as filtering, transformation, and analysis. In this lab, you will have the opportunity to apply theoretical knowledge to practical, hands-on exercises that will deepen your understanding of DSP concepts.
This manual is structured to provide you with step-by-step instructions, explanations, and insights into the experiments you'll be performing. Each experiment is carefully designed to reinforce your understanding of fundamental DSP principles and help you develop the skills necessary for signal processing applications. Whether you are a student or an instructor, this manual is intended to facilitate a productive and enriching DSP lab experience.
ICIAM 2019: A New Algorithm Model for Massive-Scale Streaming Graph AnalysisJason Riedy
Applications in many areas analyze an ever-changing environment. On billion vertices graphs, providing snapshots imposes a large performance cost. We propose the first formal model for graph analysis running concurrently with streaming data updates. We consider an algorithm valid if its output is correct for the initial graph plus some implicit subset of concurrent changes. We show theoretical properties of the model, demonstrate the model on various algorithms, and extend it to updating results incrementally.
EFFICIENT IMPLEMENTATION OF 16-BIT MULTIPLIER-ACCUMULATOR USING RADIX-2 MODIF...VLSICS Design
In this paper, we propose a new multiplier-and-accumulator (MAC) architecture for low power and high speed arithmetic. High speed and low power MAC units are required for applications of digital signal processing like Fast Fourier Transform, Finite Impulse Response filters, convolution etc. For improving the speed and reducing the dynamic power, there is a need to reduce the glitches (1 to 0 transition) and spikes (0 to 1 transition). Adder designed using spurious power suppression technique (SPST) avoids the unwanted glitches and spikes, thus minimizing the switching power dissipation and hence the dynamic power. Radix -2 modified booth algorithm reduces the number of partial products to half by grouping of bits from the multiplier term, which improves the speed. The proposed radix-2 modified Booth algorithm
MAC with SPST gives a factor of 5 less delay and 7% less power consumption as compared to array MAC
A prototype based on SCADA system was developed as a result of the final project of the discipline entitled Applied Microcontrollers to Control and Automation Engineering. This course has project based learning (PBL) methodology. he prototype has a drive unit and a computer program. This evice was developed using a PIC18F4550 microcontroller and various electronic components: resistors, capacitors, LEDs, among others. The computer program was developed using programming language C Sharp (C #) in Visual Studio development environment. The interface between the program and the device is performed via USB communication. This prototype is now used in the discipline mentioned in order to teach practical lessons about embedded systems projects, USB communication, data acquisition and supervisory systems. As all stages of the project were presented to the students in a very detailed way and its development was performed on a real application, the students showed a lot of interest about this tool during the last school year.
Braun’s Multiplier Implementation using FPGA with Bypassing Techniques.VLSICS Design
The developing an Application Specific Integrated Circuits (ASICs) will cost very high, the circuits should be proved and then it would be optimized before implementation. Multiplication which is the basic building block for several DSP processors, Image processing and many other. The Braun multipliers can easily be implemented using Field Programmable Gate Array (FPGA) devices. This research presented the comparative study of Spartan-3E, Virtex-4, Virtex-5 and Virtex-6 Low Power FPGA devices. The implementation of Braun multipliers and its bypassing techniques is done using Verilog HDL. We are proposing that adder block which we implemented our design (fast addition) and we compared the results of that so that our proposed method is effective when compare to the conventional design. There is the reduction in the resources like delay LUTs, number of slices used. Results are showed and it is verified using the Spartan-3E, Virtex-4 and Virtex-5 devices. The Virtex-5 FPGA has shown the good performance as compared to Spartan-3E and Virtex-4 FPGA devices.
Hardware Acceleration of Computional Fluid Dynamics SImulations in an Oxygena...HAMSproject
Introduction and State of the Art of our project's application in the biomedical field: simulations of an oxygenator for Extra-Corporeal Circulation (ECC)
An explanation of the rationale behind the use of an FPGA-based system for our solution's implementation. A comparison is made between FPGAs, GPUs and ASICs.
Here you are an introduction to Hardware Acceleration of Matlab Simulations (aka HAMS). We explain the context of the problem and our idea concerning the solution!
1. Politecnico di Milano
Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB)
HAMSproject
Chiara Gatti
chiara1.gatti@mail.polimi.it
Guido Lanfranchi
guido2.lanfranchi@mail.polimi.it
6. IMPLEMENTATION
WEEKLY UPDATE
May 27th, 2016
NECST Lab, Politecnico di Milano
2. 2
Gantt Chart
WPs and tasks vs time
Context definition
Implementation
Validation
Dissemination
Legend:
4. 4
Implementation
Jacobi method: accuracy and parallelism
for (n_times)
split matrix into columns
compute c,s for each couple
update columns
end
// until convergence
// multiply&accumulate
// streaming computation
Ãi Ãj
Coefficient
computation
Column
update
Ai Aj
c,s
5. 5
Coefficient
computation
multiplyx x x x x x x x
+ + + +
+ +
+
Ai
Aj
set_directive_dataflow coefficientComputation
set_directive_pipeline coefficientComputation
set_directive_pipeline outerLoops
set_directive_unroll innerLoops
set_directive_interface –mode axis
accumulate
c,s
6. 6
Coefficient
computation
multiplyx x x x x x x x
+ + + +
+ +
+
Ai
Aj
set_directive_dataflow coefficientComputation
set_directive_pipeline coefficientComputation
set_directive_pipeline outerLoops
set_directive_unroll innerLoops
set_directive_interface –mode axis
accumulate
performances
vs area
c,s
7. 7
set_directive_dataflow columnUpdate
set_directive_dataflow outerLoop
set_directive_pipeline innerLoop
set_directive_interface -mode axis
Column
update
Ai
Aj
Ãi
Ãj
- - t e m p - -
x x x x x x x x
c,s
8. 8
Next week
Integration of the two IP cores
through Vivado
- Microblaze processor on V7
- Data transfer through DMAs