|Author||McKellar, A. C. ♦ Coffman, E. G.|
|Source||ACM Digital Library|
|Publisher||Association for Computing Machinery (ACM)|
|Subject Keyword||Array storage allocation ♦ Paged memory systems ♦ Paging algorithms ♦ Array processing ♦ Virtual memory systems ♦ Storage allocation ♦ Matrix algorithms|
|Abstract||Matrix representations and operations are examined for the purpose of minimizing the page faulting occurring in a paged memory system. It is shown that carefully designed matrix algorithms can lead to enormous savings in the number of page faults occurring when only a small part of the total matrix can be in main memory at one time. Examination of addition, multiplication, and inversion algorithms shows that a partitioned matrix representation (i.e. one submatrix or partition per page) in most cases induced fewer page faults than a row-by-row representation. The number of page-pulls required by these matrix manipulation algorithms is also studied as a function of the number of pages of main memory available to the algorithm.|
|Description||Affiliation: Princeton Univ., Princeton, NJ (McKellar, A. C.) || Princeton Univ., NJ (Coffman, E. G.)|
|Age Range||18 to 22 years ♦ above 22 year|
|Education Level||UG and PG|
|Learning Resource Type||Article|
|Publisher Place||New York|
|Journal||Communications of the ACM (CACM)|
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