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Faculty of Science School of Computational Science and Engineering
Faculty of Science

School of Computational Science and Engineering

Linear Algebra on GPU

This seminar will provide an overview of how one can efficiently solve linear algebra problems using GPGPU (General Purpose Graphics Processing Unit) hardware and the associated CUDA software framework. The basic issues involved in developing efficient code for this type of computation will be discussed, followed by a demonstration of how to use three popular libraries relevant to the problem: cuBLAS, cuSolver and MAGMA.
McMaster University - Faculty of Science

Mailing Address

Department of Mathematics & Statistics
School of Computational Science and Engineering

Hamilton Hall, Room 218
1280 Main Street West
Hamilton, Ontario, Canada
L8S 4K1

Contact Information

Office Hours:
8:30 a.m. - 12:00 p.m.
1:00 p.m. - 4:30 p.m.
Telephone Inquiries:
+1 (905) 525-9140 ext.24116
Graduate Email Inquiries:
graduate@math.mcmaster.ca

McMaster University - Faculty of Science

Mailing Address

Department of Mathematics & Statistics
School of Computational Science and Engineering

Hamilton Hall, Room 218
1280 Main Street West
Hamilton, Ontario, Canada
L8S 4K1

Contact Information

Office Hours:
8:30 a.m. - 12:00 p.m.
1:00 p.m. - 4:30 p.m.
Telephone Inquiries:
+1 (905) 525-9140 ext.24116
Graduate Email Inquiries:
graduate@math.mcmaster.ca

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