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Overview of QUIC-SVD - UMass Graphics Lab - University of ...

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Parallelize Gram Schmidt Orthogonalization<br />

• Classical Gram Schmidt:<br />

Assume v1 , v2, v3... vn<br />

are in the current basis set (i.e. they<br />

are orthonormal vectors), to add a new vector :<br />

v<br />

( , ) ( , ) ... ( , )<br />

r<br />

1<br />

<br />

r where proj( r, v) ( r v)<br />

v<br />

r r proj r v1 proj r v2<br />

proj r v n<br />

n<br />

• This is easy to parallelize (as each projection is independently<br />

calculated), but it has poor numerical stability.<br />

r<br />

21

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