Mert Hidayetoğlu

Gates 472, 353 Serra Mall, Stanford, CA, 94305
merth at stanford dot edu

I am a postoctoral scholar with Alex Aiken's group at Stanford University.

My research interests are parallel computing, fast algorithms, inverse problems, and programming models.

[Extended CV] [LinkedIn] [Google Scholar] [GitHub]

Short Bio

Mert Hidayetoglu is a postdoctoral scholar with Alex Aiken’s group at Stanford University. Mert obtained his PhD at University of Illinois under supervision of Wen-mei Hwu in 2022. His dissertation is on optimizations of sparse data movement on GPU systems. Mert's motivating applications are large-scale inverse problems in computational imaging. He was a Givens Fellow at Argonne National Laboratory in 2018, the leading author of SC20 best paper, and recipient of ACM/IEEE-CS George Michael Memorial HPC Fellowship in 2021.

See my doctoral page and past events here.

Academic

I am on academic job market and have applied to a handful of institutions. Please find my most recent application package below.

My application package for post-doctoral positions (November 2021):

Cover letter for postdoctoral fellowship application.
Research statement on tackling sparse communications on exascale systems.

Research Samples

Generalized hierarchical communications: Slides (2023).
Portable micro-benchmarking on exascale systems: Code (2023).
High-performance spare matrix multiplication on GPUs Slides (2022).
Large scale sparse DNN inference Paper (Graph Challenge Champion, 2020).
Petascale X-ray image reconstruction: Paper (SC20 best paper), Video presentation (2020).
Inverse multiple-scattering imaging: Slides (2018).

Check out my Master's work on solving integral equations with billions of unknowns (it was a world record in 2014) here.

In his free time, Mert likes to ride bike and spend time with his family.

[Extended CV] [LinkedIn] [Google Scholar] [GitHub]

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