My group is seeking a post-master’s or postdoctoral researcher for an NSF-funded project focused on analyzing and modeling nondeterminism in large-scale applications. This project aims to address the challenges of nondeterminism in High-Performance Computing (HPC) by modeling nondeterministic executions and evaluating their impact on debugging and reproducibility.
The ideal candidate should possess the following skills:
– Expertise in High Performance Computing (HPC): Knowledge of HPC applications, concurrency, and issues from asynchronous executions.
– MPI Programming and Software Development: Proficiency in MPI programming, suitable for HPC environments and developing tools or libraries.
– Graph Theory and Algorithms: Skills in applying graph theory to model nondeterministic executions and identify patterns in complex data structures.
– Performance Analysis: Ability to analyze and optimize HPC application performance, including understanding performance and power analysis layers.
– Mathematical and Statistical Modeling: Capability to model the relationship between application nondeterminism and tool overhead, developing metrics for execution evaluation and comparison.
– Collaboration and Communication: Strong skills in collaboration within multidisciplinary teams and effective communication for documenting and presenting research findings.
Salary ranges from $65K to $90K, depending on previous experience and skills.
Michela Taufer
Dongarra Professor in High Performance Computing
Global Computing Laboratory (GCLab)
The University of Tennessee
Electrical Engineering and Computer Science Dept.
401 Min H. Kao Bldg
1520 Middle Drive
Knoxville, TN 37996-2250
Phone: (302) 690 7845
E-Mail: taufer@acm.org
URL: https://globalcomputing.group/
Follow me on Twitter at: https://twitter.com/MichelaTaufer
Follow my Group on Twitter at: https://twitter.com/TauferLab