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Multiskewing-A Novel Technique for Optimal Parallel Memory Access
June 1996 (vol. 7 no. 6)
pp. 595-604
ASCII Text
x 
 
Ashoke Deb, "Multiskewing-A Novel Technique for Optimal Parallel Memory Access," IEEE Transactions on Parallel and Distributed Systems, vol. 7, no. 6, pp. 595-604, June, 1996.
 
 
BibTex
x
 
@article{ 10.1109/71.506698,
author = {Ashoke Deb},
title = {Multiskewing-A Novel Technique for Optimal Parallel Memory Access},
journal ={IEEE Transactions on Parallel and Distributed Systems},
volume = {7},
number = {6},
issn = {1045-9219},
year = {1996},
pages = {595-604},
doi = {http://doi.ieeecomputersociety.org/10.1109/71.506698},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Parallel and Distributed Systems
TI - Multiskewing-A Novel Technique for Optimal Parallel Memory Access
IS - 6
SN - 1045-9219
SP595
EP604
EPD - 595-604
A1 - Ashoke Deb,
PY - 1996
KW - Interleaved memory
KW - pipelined/vector processors
KW - matrix computation
KW - skewing schemes
KW - periodic
KW - linear schemes
KW - memory bandwidth
KW - memory bank conflict
KW - conflict-free access.
VL - 7
JA - IEEE Transactions on Parallel and Distributed Systems
ER -
 

Abstract—The disparity between the processing speed and the data access rates presents a serious bottleneck in pipelined/vector processors. The memory bank conflict in interleaved system can be alleviated by skewing, for scientific computations performing functions on varieties of submatrices. So far uniskewing involving periodic and linear functions have been studied. Several difficulties encountered in such schemes are that they require a prime number of memory modules, may create wasted memory space, or addressing functions and the alignment network become complex. We present a new technique, termed multiskewing, which applies multiple functions on different sections of the array. Each of these functions may be as simple as a linear shift. We show that some of the advantages are that it does not require a prime number of memory, memory utilization factor is 100%, maintains the logical structure of the array, and allows optimal memory access of a large class of submatrices.

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Index Terms:
Interleaved memory, pipelined/vector processors, matrix computation, skewing schemes, periodic, linear schemes, memory bandwidth, memory bank conflict, conflict-free access.
Citation:
Ashoke Deb, "Multiskewing-A Novel Technique for Optimal Parallel Memory Access," IEEE Transactions on Parallel and Distributed Systems, vol. 7, no. 6, pp. 595-604, June 1996, doi:10.1109/71.506698
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