Application composition and communication optimization in iterative solvers using FPGAs
We consider the problem of minimizing communication with off-chip memory and composition of multiple linear algebra kernels in iterative solvers for solving large-scale eigenvalue problems and linear systems of equations. While GPUs may offer higher throughput for individual kernels, overall applica...
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Main Authors: | , , |
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Other Authors: | |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2013
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/98626 http://hdl.handle.net/10220/17397 |
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Institution: | Nanyang Technological University |
Language: | English |
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