Accelerating Rotorcraft Brownout Simulation and CAD Algorithms

Agenda:

General Discussion:

6:15-7:00pm: What’s new and first-time attendee intros

Main Program:

7:00-7:45pm: GPU-Accelerated Rotorcraft Brownout Simulations (Monica Syal, Advanced Rotorcraft Technology, Inc.)

7:55-8:30 pm: Using GPUs to Accelerate CAD Algorithms

(Kanupriya Gulati, Intel)

GPU-Accelerated Rotorcraft Brownout Simulations

Brownout involves the formation of an intense and blinding dust cloud around a rotorcraft while it lands or takes-off in desert-like environments. The dense dust cloud can obstruct pilot’s visibility of the landing zone, and can pose serious concerns for the safety of flight. The onset of brownout conditions has led to many accidents with military helicopters when they are operating in desert environments.

The focus of this work is to develop a comprehensive methodology to help explore ways to mitigate brownout. In this talk, I will discuss how the recent advancements in scientific computing have helped to achieve about two orders of magnitude speedups in conducting brownout dust cloud simulations comprising millions of particles.

About the Speaker:

Monica Syal is an Aerospace Engineer at Advanced Rotorcraft Technology (ART), and is working on the development of a real-time rotorcraft brownout simulation facility for flight simulator applications. Her work on “GPU-Accelerated brownout simulations” was featured in “CUDA in Action” Spotlight in Feb. 2013. Monica completed her M.S. and Ph.D. from the University of Maryland College Park in 2008 and 2012, respectively. Her research interests include helicopter aerodynamics, computational fluid dynamics, optimization techniques, and high performance parallel computing using MPI and CUDA. Monica is a recipient of the Amelia Earhart Fellowship (2009, 2010), Vertical Flight Foundation Scholarship (2008), and Dr. Kalpana Chawla Award (2004).

Using GPUs to Accelerate CAD Algorithms

Advances in GPU technology have propelled the GPU into arenas far afield from the traditional, isolated role it has previously played. With hundreds of processing units in a single GPU, substantial speedups can be achieved by harnessing their power to augment the performance of the traditional single-or multi-core CPU, on certain compute-intensive applications. This talk will present examples of specific CAD algorithms from testing and logic domains, that can benefit from GPU acceleration.

About the Speaker:

Kanu Gulati is a Research Scientist at Intel Corporation, where she focuses on improving chip design efficiency. She has more than 5 years of work experience in EDA/Semi-conductor industry and has co-authored 3 books, 1 book chapter and 35+ papers on VLSI design. She was a recipient of the NVIDIA fellowship for her research on accelerating EDA algorithms using graphics processors. She completed her Masters and Ph.D. in Electrical and Computer Engineering from Texas A&M University, and has interned with Cadence Research Labs, Mentor Graphics and Atrenta, Inc.

Location:

Open Space;
Carnegie Mellon Silicon Valley;
NASA Research Park Bldg 23;
Mountain View, CA 94043;

Directions (http://www.cmu.edu/silicon-valley/about-us/directions.html) to Carnegie Mellon Silicon Valley;

Google Map (http://maps.google.com/maps/ms?gl=us&hl=en&ie=UTF8&msa=0&ll=37.410941,-122.063169&spn=0.019191,0.048923&t=h&z=15&msid=215438781255871976989.00049cacf6f0e5596e5cc) showing parking, check point, and building entrance;

NOTE: You will need a government issued ID (e.g. Driver's License) to enter NASA Research Park

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