I am a PhD candidate at ParaMathics lab, at the department of computer science, university of Toronto, and advised by Prof. Maryam Mehri Dehnavi. My research area includes sparse computations, high-performance computing, compiler optimization, and parallel programming.
I am in the job market.
- Ph.D., Computer Scince - University of Toronto
- M.A.Sc., Computer Engineering - University of Tehran
- B.Eng., Computer Engineering - Ferdowsi University of Mashhad
- First place in ACM student research competition grand finals across all ACM conferences. (2017, Worldwide)
- Recipient of Adobe fellowship. (2018, Worldwide)
- Second place in scientific publications of universities, Iran. (2007, nationwide)
- First place in ACM CGO student research competition. (2017, conference)
- Best poster paper award in HPCS conference. (2018, conference)
- Distinguished student, Ferdowsi University. (2007, university-wide)
- Recipient of Wolfond fellowship, computer science, university of Toronto. (2018, school-wide)
- Platform computing graduate fellowship, computer science, university of Toronto. (2019, school-wide)
- International tuition remission, Concordia university, Canada. (2013, school-wide)
- German Academic Exchange Service (DAAD) to attend the university of Rostock, Germany. (2011, school-wide)
- Kazem Cheshmi, S. Kamil, M. M. Strout, and M. M. Dehnavi. "Sympiler: Transforming Sparse Matrix Codes by Decoupling Symbolic Analysis." SC'17 .
- Kazem Cheshmi, Danny M. Kaufman, Shoaib Kamil, and Maryam Mehri Dehnavi. NASOQ: Numerically Accurate Sparsity-Oriented QP Solver. ACM Transactions on Graphics , SIGGRAPH'20 .
- Bangtian Liu*, Kazem Cheshmi*, Saeed Soori, Michelle Mills Strout, Maryam Mehri Dehnavi. "MatRox: Modular approach for improving data locality in Hierarchical (Mat) rix App (Rox) imation". PPoPP'20. (*Equal contributions)
- Kazem Cheshmi, S. Kamil, M. M. Strout, and M. M. Dehnavi. "ParSy: inspection and transformation of sparse matrix computations for parallelism." SC'18.
- Kazem Cheshmi and Maryam Mehri Dehnavi. Decoupling symbolic from numeric in sparse matrix computations." CGO'17 SRC Track, Grand Final winner of SRC'17, (Acceptance rate: 0.3%, 1 out of 330 from all submissions from 27 ACM conferences).
- Mahdi Soltan Mohammadi, Tomofumi Yuki, Kazem Cheshmi, Eddie C Davis, Mary Hall, Maryam Mehri Dehnavi, Payal Nandy, Catherine Olschanowsky, Anand Venkat, Michelle Mills Strout. "Sparse computation data dependence simplification for efficient compiler-generated inspectors." PLDI'19.
- Mahdi Soltan Mohammadi, Kazem Cheshmi, Maryam Mehri Dehnavi, Anand Venkat, TomofumiYuki, and Michelle M. Strout. "Extending index-array properties for data dependence analysis." LCPC'18.
- Kazem Cheshmi, Leila Cheshmi, and Maryam Mehri Dehnavi. "Sparsity-aware storage format selection." High Performance Computing and Simulation, HPCS'18 (Best paper poster award).
- Kazem Cheshmi, Guanzheng Xu, Saman A Zonouz, and Maryam Mehri Dehnavi. "Axb: A compiler for sparse direct solvers." Electromagnetic Field Computation, CEFC'16.
- Kazem Cheshmi, Siamak Mohammadi, Daniel Versick, Djamshid Tavangarian, and Jelena Trajkovic. "A clustered GALS Network-on-Chip architecture with communication-aware mapping." Parallel, Distributed and Network-Based Processing, PDP'15.
- Sebastien Le Beux, Hui Li, Ian O’Connor, Kazem Cheshmi, Xuchen Liu, Jelena Trajkovic, and Gabriela Nicolescu. "Chameleon: Channel efficient optical network-on-chip." DATE'14.
- Kazem Cheshmi, Jelena Trajkovic, Mohammadreza Soltaniyeh, and Siamak Mohammadi, "Quota setting router architecture for quality of service in GALS network-on-chip." Rapid System Prototyping, RSP'13.
- Research Intern at Microsoft Research and AI, Redmond, USA. (Jun - Sep 2019)
- Research Assistant and Visiting Researcher at Rutgers University, Piscataway, USA. (Mar 2016 - Sep 2018)
- Creative Intelligence Lab Intern at Adobe Research, New York, USA. (Jun - Sep 2018)
- Creative Technologies Lab Intern at Adobe Research, Cambridge, USA. (Jun - Sep 2017)
- Research and Teaching Assistant at Concordia University, Montreal, Canada. (Jan 2013 - Sep 2016)
- Visiting Researcher at University of Rostock, Rostock, Germany. (May - Dec 2011)
- MITACS-Accelerate for A Framework for Scheduling and Mapping of Image Signal Processing Pipeline on Heterogeneous Architectures Applied to Video Enhancement Algorithms , Canada, 2015.
- MITACS-Accelerate for An efficient implementation of a computational camera for smartphones , Canada, 2014.
: Google Scholar
: Kazem Cheshmi, Department of Computer Science, University of Toronto, Pratt 265C, 6 King's College Rd, Toronto, ON M5S 3G4, Canada
“Capable is he who is wise - Happiness from wisdom will arise.” - Ferdowsi