In ParaMathics, we develop novel systems, compilers, and mathematical methods that significantly improve the performance of large-scale and big data applications on parallel and cloud platforms. We leverage information from the domain and the problem structure to invent frameworks that transform the space of optimization that compilers and systems can explore. Our frameworks are designed to optimize a large class of algorithms and numerical kernels and thus support simulations of numerous applications such as in computer graphics, physics, vision, and machine learning.  Learn more

Speed!

Contact: Department of Computer Science, University of Toronto, Pratt 398A, 6 King’s College Rd, Toronto, ON M5S 3G4, Canada

LAB NEWS

Kazem receives honourable mention for the 2022 SIGHPC Dissertation Award!
Vectorizing Sparse Matrix Computations with Partially-Strided Codelets is accepted at SC22.
HyLo is accepted at SC22.
VecRC is accepted at PACT22.
Kazem joins McMaster University as an Assistant Professor from July 2022!
Maryam Dehnavi receives the Ontario Early Researcher Award 2021.
HDAGG accepted at IPDPS22.
MSc, PhD, and Postdoctoral positions available.
Kazem receives the 2020 ACM-IEEE CS George Michael Memorial HPC Fellowship.
Maryam Dehnavi is appointed as the Canada Research Chair in Parallel and Distributed Computing.
Read about our work at UofT News.
More news!