I am Ph.D. student in Computational Science and Engineering at the Georgia Tech's College of Computing. My research interests are in highperformance computing, machine learning, and their interaction.
Marat Dukhan, Richard Vuduc, Jason Riedy "Wanted: FloatingPoint Add Roundoff Error instruction"
Slides Preprint on ArXiv Source code on GitHub Discussion on GitXiv
Edmond Chow, Xing Liu, Sanchit Misra, Marat Dukhan, Mikhail Smelyanskiy, Jeff R. Hammond, Yunfei Du, XiangKe Liao, Pradeep Dubey "Scaling up Hartreeâ€“Fock calculations on Tianhe2"
Marat Dukhan, Robert Guthrie, Robertson Taylor, Richard Vuduc "Furious.js: a Model for Offloading ComputeIntensive JavaScript Applications"
Jee Choi, Marat Dukhan, Xing Liu, Richard Vuduc "Algorithmic time, energy, and power on candidate HPC compute building blocks"
Marat Dukhan, Anirudh Gubba, Richard Vuduc "Crowdsourcing Code Tuning with PeachPy.io"
Marat Dukhan "BLAS for Deep Learning"
Marat Dukhan "PeachPy.io: a platform for crowdsourcing performance tuning"
Marat Dukhan, Nicolas Vasilache, Soumith Chintala, Richard Vuduc "FFTbased convolutional neural networks for wideSIMD multicore CPUs"
Marat Dukhan "Porting BLIS microkernels to PeachPy"
Marat Dukhan "Accelerating Data Processing in Go with SIMD Instructions"
Marat Dukhan "BLIS for the Web"
Marat Dukhan "Developing lowlevel assembly kernels with PeachPy"
Prepared two live demos for Robert van de Geijn's and Maggie Myers' Linear Algebra — Foundations to Frontiers MOOC course
Assisted Prof. Richard Vuduc and fully covered three weeks of the class
Assisted Prof. Richard Vuduc and fully covered four weeks of the class
Assisted Prof. Alberto Apostolico and presented one lecture each week
2011 – now  Georgia Institute of Technology, College of Computing 
Candidate for Ph.D. in Computational Science and Engineering  


2009 – 2011  New Economic School in Moscow 
M.A. in Economics  


2005 – 2009  Moscow Institute of Physics and Technology 
B.Sc. in Applied Mathematics and Physics  

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