Computational Sciences Intern

US-DC
1 week ago
Requisition ID
2017-39063
# of Openings
1
Category
Engineering
Minimum Clearance
None

About Engility

Engility delivers innovative solutions to critical challenges facing the nation and the world. As a premier provider of integrated services for the U.S. government, we support the Department of Defense, intelligence community, space communities, federal civilian agencies and international customers. Engility is dedicated to making lives better, safer and more secure.

Description

  • The intern will examine and evaluate the use of TensorFlow in the design of physics-based simulations. The project will start with a basic physics simulation implementation of the heat equation and extend to a more complicated simulation as time allows.
  • The intern will write a final report, create a technical poster, and give a presentation on their findings on a quantitative performance comparison between a "traditional" implementation with CPU/GPUs using CUDA/OpenACC and a Tensorflow implementation using CPU/GPUs as well as a qualitative comparison on the ease of implementation using Tensorflow.

Required Qualifications

  • Students majoring in Computer Science, Computer Engineering, Mathematics or Engineering. 
  • Experience with programming.
  • Must have completed 2 years of college in relative studies.
  • Parallel Programming Experience with MPI and OpenMP.
  • C, C++, or Fortran programming experience.

Desired Qualifications

  • Students with a BS in Computer Science, Computer Engineering, Mathematics or Engineering who are working toward an MS degree. 
  • Programming Experience with GPGPUs (CUDA, OpenACC, OpenCL)
  • Experience with TensorFlow

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