Title :
Matrix Inversion on a PIM (Processor-in-Memory)
Author :
Cha, Jae Chul ; Gupta, Sandeep K.
Author_Institution :
Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA
Abstract :
Many computational applications in science and engineering involve solving matrix inversions with large data sets. To reduce the computation time, parallel architectures are used with appropriate data partitioning and placement schemes. In this paper, matrices are inverted on a PIM (processor-in-memory) architecture by applying a blockwise analytical matrix inversion scheme in a recursive manner, and whose performance is evaluated and analyzed.
Keywords :
mathematics computing; matrix inversion; parallel architectures; blockwise analytical matrix inversion scheme; data partitioning; data placement schemes; data sets; matrix inversion; parallel architectures; processor-in-memory; Application software; Communication system control; Computer applications; Computer architecture; Computer science; Decoding; Multicore processing; Parallel architectures; Performance analysis; Software engineering; Matrix inverse; PIM;
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
DOI :
10.1109/CSSE.2008.1416
