Research Associate in Computer Science

Indiana University

United States

 

Position Summary

Perform research on topics related to automated empirical tuning, and particularly in iterative compilation with the iterative Floating Point Kernel Optimizer (iFKO) compiler framework, and parallel and high performance tuning for linear algebra using Automatically Tuned Linear Algebra Software (ATLAS) autotuning framework. Write papers and grants, iFKO and ATLAS development, machine preparation, and assisting with student direction.

 

Basic Qualifications

PhD in Computer Science or related field.

Three (3) years of experience in ATLAS (Automatically Tuned Linear Algebra Software) and high performance compiler optimization.

 

Department Contact for Questions

Benita Brown @ benitab@indiana.edu

 

Applicant Documents

Required Documents

  1. Curriculum Vitae
  2. Letter of Application


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