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Mert Hidayetoğlu

Coordinated Science Laboratory, 1308 W Main St, Urbana, IL 61801
hidayet2 at illinois dot edu

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

I became a postoctoral scholar with Alex Aiken's group at Stanford University. You can skim my profile

Short Bio

Mert is a senior PhD candidate with research at the intersection of large-scale applications, high-performance computing, and software systems.

His work is on software tools for optimization of sparse/unstructured data accesses and communications on hierarchical interconnect architectures.

The main motivation of Mert is providing necessary functions and primitives to enable large-scale applications on the upcoming exascale computers-Frontier, Aurora, El Capitan-involving multi-GPU nodes.

In his free time, Mert likes to ride bike.

Other than that, Mert works at The Impact Research Group directed by Wen-mei Hwu. Mert is also a member at IBM-Illinois Center for Cognitive Computing Research (C3SR) and Semiconductor Research Corporation (SRC) center for Application Driven Architecture (ADA).

Mert's work won the best paper award at SC20, named the graph challenge champion at HPEC20, and awarded with the 2021 ACM/IEEE-CS George Michael Memorial HPC Fellowship.

Recent News

Mar 2022: Our work from VLDB now officially available on AWS Deep Graph Library (DGL)! DGL v0.8 release note: Here.
Jan 2022: Our proposal on Sparsity in ML has been accepted for inclusion to MLSys 2022 tutorials. Thank you Jinjun and Sitao for helping!
Nov 2021: My research statement for Luis W. Alvarez and Admiral Grace M. Hopper Fellowships in Computing Sciences.
Nov 2021: Our paper on graph neural network training with data tiering is on Arxiv!
Oct 2021: My proposed research plan for Margaret Butler Fellowship in Computational Science.
Oct 2021: Recognized with ACM-IEEE CS George Michael Memorial HPC Fellowship. News release Here.
Aug 2021: Our paper Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture has been published at VLDB 2021!
Mar 2021: Received Yi-Min Wang and Pi-Yu Chung Endowed Research Award.
Feb 2021: I have passed my prelim exam. Find the slides and report (marked-up by Andreas Kloeckner).
Nov 2020: Won the 1st place at SC20 stage of ACM Student Research Competition!
Nov 2020: Petascale XCT won the best paper award at SC20! Video presentation Here.
Sep 2020: Petascale XCT work is named the best paper and best student paper finalist at SC20.
Aug 2020: HPEC Paper won MIT/Amazon/IEEE Graph Challenge on sparse deep neural network inference.
Apr 2020: MemXCT work is chosen as the SC20 reproducibility challenge benchmark. See blog here.
Apr 2020: Presented recent research at alma seminar.
Aug 2019: Our work on efficient GPU algorithm on higher-order stencil work won the best paper award at HPCC.
June 2019: Teaching at PUMPS for Barcelona Supercomputing Center.
May 2019: Internship at IBM Research Cambridge, MA starts. See my internship report with conclusions.
Mar 2019: Received Paul D. Coleman Outstanding Research Award.
May 2018: Starting at Argonne National Laboratory as Givens Associate.
May 2018: IPDPS PhD forum poster won the outstanding poster presentation award.
Mar 2018: Recieved Dan Vivoli Endowed Fellowship.
Dec 2017: Presented inverse multiple-scattering imaging at Argonne Seminar.
June 2017: Teaching at PUMPS for Barcelona Supercomputing Center.
May 2017: Named Computational Science and Engineering Fellow: CSE Fellowsip.
May 2017: Received the last Professor Kung Chie Yeh Endowed Fellowship.

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