High Speed High Fidelity Infrared Scene Simulation Using Reconfigurable Computing

2006 ◽  
Author(s):  
Vinay Sriram ◽  
David Kearney
Keyword(s):  
Reconfigurable Computing ◽  
High Speed ◽  
High Fidelity ◽  
Scene Simulation

Towards A Multi-FPGA Infrared Simulator

2007 ◽  
Vol 4 (4) ◽  
pp. 343-355 ◽  
Author(s):  
Vinay Sriram ◽  
David Kearney
Keyword(s):  
Homeland Security ◽  
Reconfigurable Computing ◽  
High Speed ◽  
High Performance ◽  
Large Scale ◽  
Computation Time ◽  
Ccd Camera ◽  
Hardware Acceleration ◽  
Limiting Factor ◽  
Scene Simulation

High speed infrared (IR) scene simulation is used extensively in defense and homeland security to test sensitivity of IR cameras and accuracy of IR threat detection and tracking algorithms used commonly in IR missile approach warning systems (MAWS). A typical MAWS requires an input scene rate of over 100 scenes/second. Infrared scene simulations typically take 32 minutes to simulate a single IR scene that accounts for effects of atmospheric turbulence, refraction, optical blurring and charge-coupled device (CCD) camera electronic noise on a Pentium 4 (2.8GHz) dual core processor [7]. Thus, in IR scene simulation, the processing power of modern computers is a limiting factor. In this paper we report our research to accelerate IR scene simulation using high performance reconfigurable computing. We constructed a multi Field Programmable Gate Array (FPGA) hardware acceleration platform and accelerated a key computationally intensive IR algorithm over the hardware acceleration platform. We were successful in reducing the computation time of IR scene simulation by over 36%. This research acts as a unique case study for accelerating large scale defense simulations using a high performance multi-FPGA reconfigurable computer.

scholarly journals Getting High: High Fidelity Simulation of High Granularity Calorimeters with High Speed

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Erik Buhmann ◽  
Sascha Diefenbacher ◽  
Engin Eren ◽  
Frank Gaede ◽  
Gregor Kasieczka ◽  
...  
Keyword(s):  
Particle Physics ◽  
High Speed ◽  
Deep Neural Networks ◽  
High Fidelity ◽  
High Fidelity Simulation ◽  
Physical Processes ◽  
Electromagnetic Showers ◽  
Information Bottleneck ◽  
First Time ◽  
Processing Network

AbstractAccurate simulation of physical processes is crucial for the success of modern particle physics. However, simulating the development and interaction of particle showers with calorimeter detectors is a time consuming process and drives the computing needs of large experiments at the LHC and future colliders. Recently, generative machine learning models based on deep neural networks have shown promise in speeding up this task by several orders of magnitude. We investigate the use of a new architecture—the Bounded Information Bottleneck Autoencoder—for modelling electromagnetic showers in the central region of the Silicon-Tungsten calorimeter of the proposed International Large Detector. Combined with a novel second post-processing network, this approach achieves an accurate simulation of differential distributions including for the first time the shape of the minimum-ionizing-particle peak compared to a full Geant4 simulation for a high-granularity calorimeter with 27k simulated channels. The results are validated by comparing to established architectures. Our results further strengthen the case of using generative networks for fast simulation and demonstrate that physically relevant differential distributions can be described with high accuracy.

A High Fidelity Roll Dependent Aerodynamic Model for a Long Range, High Speed Missile

2022 ◽  
Author(s):  
Bradley T. Burchett ◽  
Justin L. Paul ◽  
Joseph D. Vasile ◽  
Joshua Bryson
Keyword(s):  
Long Range ◽  
High Speed ◽  
High Fidelity ◽  
Aerodynamic Model

Extended Time Machine Design using Reconfigurable Computing for Efficient Recording and Retrieval of Gigabit Network Traffic

2012 ◽  
pp. 699-709
Author(s):  
S. Sajan Kumar ◽  
M. Hari Krishna Prasad ◽  
Suresh Raju Pilli
Keyword(s):  
Network Traffic ◽  
Reconfigurable Computing ◽  
High Speed ◽  
Application Programming Interface ◽  
High Volume ◽  
Machine Design ◽  
Input Output ◽  
Time Machine ◽  
Application Programming ◽  
Programming Interface

Till date there are no systems which promise to efficiently store and retrieve high volume network traffic. Like Time Machine, this efficiently records and retrieves high volume network traffic. The bottleneck of such systems has been to capture packets at such a high speed without dropping and to write a large amount of data to a disk quicklt and sufficiently, without impact on the integrity of the captured data (Ref. Cooke.E., Myrick.A., Rusek.D., & Jahanian.F(2006)). Certain hardware and software parts of the operating system (like drivers, input/output interfaces) cannot cope with such a high volume of data from a network, which may cause loss of data. Based on such experiences the authors have come up with a redesigned implementation of the system which have specialized capture hardware with its own Application Programming Interface for overcoming loss of data and improving efficiency in recording mechanisms.

Partially-Averaged Navier–Stokes Simulations of High-Speed Mixing Environment

2014 ◽  
Vol 136 (6) ◽  
Author(s):  
Ravichandra Srinivasan ◽  
Sharath S. Girimaji
Keyword(s):  
High Speed ◽  
Cavity Flow ◽  
Velocity Fields ◽  
Navier Stokes ◽  
High Fidelity ◽  
Variable Resolution ◽  
Air Mixing

Accurate simulation of the fuel-air mixing environment is crucial for high-fidelity scramjet calculations. We compute the velocity fields of jet into supersonic freestream flow and cavity flow typical of scramjet flame-holding applications at different scale resolutions using the partially-averaged Navier–Stokes (PANS) method. We present a sequence of variable resolution computations to demonstrate the potential of PANS method for high-speed mixing environment calculations.

scholarly journals Assessment of current rotor design comparison practices based on high-fidelity CFD methods

2020 ◽  
Vol 124 (1275) ◽  
pp. 731-766
Author(s):  
T. Fitzgibbon ◽  
M. Woodgate ◽  
G. Barakos
Keyword(s):  
High Speed ◽  
Performance Metrics ◽  
Rotor Blades ◽  
High Fidelity ◽  
Rotor Design ◽  
Performance Predictions ◽  
Accurate Performance ◽  
Cfd Method ◽  
Drag Ratio ◽  
Design Comparison

ABSTRACTThis paper provides an assessment of current rotor design comparison practices. First, the employed CFD method is validated for a number of rotor designs and is shown to achieve accurate performance predictions in hover and high-speed forward flight. Based on CFD results, a detailed investigation is performed in terms of comparing different rotor designs. The CFD analysis highlighted the need of high fidelity methods due to the subtle aerodynamics involved in advanced planforms. Nevertheless, the paper suggests that the correct basis for comparison in terms of performance metrics must be used to inform decisions about the suitability of the rotor blades designs for specific applications. In particular, when comparing blades of advanced planforms, direct torque and thrust comparisons are better than the commonly used lift to drag ratio and figure of merit.

Jumping behaviour for a wheeled quadruped robot: simulation and experiments

2013 ◽  
Vol 01 (01) ◽  
pp. 41-60 ◽  
Author(s):  
Adam Harmat ◽  
Michael Trentini ◽  
Inna Sharf
Keyword(s):  
Genetic Algorithm ◽  
High Speed ◽  
Degrees Of Freedom ◽  
Parameter Tuning ◽  
Quadruped Robot ◽  
Knee Joints ◽  
High Fidelity ◽  
Quadratic Response Surface ◽  
Quadratic Response ◽  
Hybrid Locomotion

In this paper, we describe a new jumping behaviour developed for the quadruped robot, PAW (Platform for Ambulating Wheels). The robot has very few degrees of freedom and no knee joints. It employs springy legs and wheels at the distal ends of the legs to achieve various modes of legged, wheeled, and hybrid locomotion, such as high-speed breaking, bounding, and presently jumping. The jumping maneuver developed in this manuscript is designed specifically to take advantage of the wheels on the robot and compliance in its legs and it involves the following principal stages: acceleration to jumping speed, body positioning via front hip thrusting, rear leg compression and thrusting, and flight. A high-fidelity MSC.ADAMS/Simulink co-simulation was developed and used to test and optimize the jumping process. Because of the strong coupling between the parameters defining the jump maneuver, manual parameter tuning is difficult and thus a genetic algorithm is employed for the optimization process. The data generated by the genetic algorithm is further used for the fitting of a quadratic response surface, which allows identifying those parameters that contribute most to a successful jump. Finally, the jumping maneuver is implemented on the physical PAW to demonstrate its feasibility on a hybrid quadruped, and to provide insights into the robot response during this highly dynamic maneuver.

Sign in / Sign up

Export Citation Format

Share Document