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

Maryam Dehnavi receives the Ontario Early Researcher Award 2021.
HDAGG accepted at IPDPS22.
Our work on Randomized Gossiping is accepted at IEEE Transactions on Control of Network Systems.
Sparse Fusion to appear at PPoPP22.
TENGraD and VecTa are now online!
Kazem Cheshmi will join NJIT as an Assistant Professor from Jan 2022!
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!