Computation of Storage Requirements for Multi-Dimensional Signal Processing Applications

@article{citeulike:1273111, abstract = {<para> Many integrated circuit systems, particularly in the multimedia and telecom domains, are inherently data dominant. For this class of systems, a large part of the power consumption is due to the data storage and data transfer. Moreover, a significant part of the chip area is occupied by memory. The computation of the memory size is an important step in the system-level exploration, in the early stage of designing an optimized (for area and/or power) memory architecture for this class of systems. This paper presents a novel nonscalar approach for computing <emphasis emphasistype="boldital">exactly</emphasis> the minimum size of the data memory for high-level procedural specifications of multidimensional signal processing applications. In contrast with all the previous works which are <emphasis emphasistype="boldital">estimation</emphasis> methods, this approach can perform <emphasis emphasistype="boldital">exact</emphasis> memory computations even for applications with numerous and complex array references, and also with large numbers of scalars. </para>}, author = {Balasa, Florin and Zhu, Hongwei and Luican, Ilie I. }, citeulike-article-id = {1273111}, journal = {Very Large Scale Integration (VLSI) Systems, IEEE Transactions on}, number = {4}, pages = {447--460}, posted-at = {2007-05-03 04:55:22}, priority = {2}, title = {Computation of Storage Requirements for Multi-Dimensional Signal Processing Applications}, url = {http://ieeexplore.ieee.org/xpls/abs\_all.jsp?arnumber=4162501}, volume = {15}, year = {2007} }

TY - JOUR ID - citeulike:1273111 L3 - citeulike-article-id:1273111 TI - Computation of Storage Requirements for Multi-Dimensional Signal Processing Applications JF - Very Large Scale Integration (VLSI) Systems, IEEE Transactions on VL - 15 IS - 4 SP - 447 EP - 460 N2 - <para> Many integrated circuit systems, particularly in the multimedia and telecom domains, are inherently data dominant. For this class of systems, a large part of the power consumption is due to the data storage and data transfer. Moreover, a significant part of the chip area is occupied by memory. The computation of the memory size is an important step in the system-level exploration, in the early stage of designing an optimized (for area and/or power) memory architecture for this class of systems. This paper presents a novel nonscalar approach for computing <emphasis emphasistype="boldital">exactly</emphasis> the minimum size of the data memory for high-level procedural specifications of multidimensional signal processing applications. In contrast with all the previous works which are <emphasis emphasistype="boldital">estimation</emphasis> methods, this approach can perform <emphasis emphasistype="boldital">exact</emphasis> memory computations even for applications with numerous and complex array references, and also with large numbers of scalars. </para> AU - Balasa, Florin AU - Zhu, Hongwei AU - Luican, Ilie PY - 2007/// UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4162501 ER -