TY - GEN
T1 - SSDM
T2 - 50th Annual Design Automation Conference, DAC 2013
AU - Lu, Jing
AU - Bai, Ke
AU - Shrivastava, Aviral
PY - 2013
Y1 - 2013
N2 - Software Managed Multicore (SMM) architectures have been proposed as a solution for scaling the memory architecture. In an SMM architecture, there are no caches, and each core has only a local scratchpad memory. If all the code and data of the task to be executed on an SMM core cannot fit on the local memory, then data must be managed explicitly in the program through DMA instructions. While all code and data need to be managed, an efficient technique to manage stack data is of utmost importance since an average of 64% of all accesses may be to stack variables [16]. In this paper, we formulate the problem of stack data management optimization on an SMM core. We then develop both an ILP and a heuristic - SSDM (Smart Stack Data Management) to find out where to insert stack data management calls in the program. Experimental results demonstrate SSDM can reduce the overhead by 13X over the state-of-the-art stack data management technique [10]. Categories and Subject Descriptors D.3.4 [Software]: Processors-Code generation, Compilers, Optimization General Terms Algorithm, Design, Experimentation, Performance.
AB - Software Managed Multicore (SMM) architectures have been proposed as a solution for scaling the memory architecture. In an SMM architecture, there are no caches, and each core has only a local scratchpad memory. If all the code and data of the task to be executed on an SMM core cannot fit on the local memory, then data must be managed explicitly in the program through DMA instructions. While all code and data need to be managed, an efficient technique to manage stack data is of utmost importance since an average of 64% of all accesses may be to stack variables [16]. In this paper, we formulate the problem of stack data management optimization on an SMM core. We then develop both an ILP and a heuristic - SSDM (Smart Stack Data Management) to find out where to insert stack data management calls in the program. Experimental results demonstrate SSDM can reduce the overhead by 13X over the state-of-the-art stack data management technique [10]. Categories and Subject Descriptors D.3.4 [Software]: Processors-Code generation, Compilers, Optimization General Terms Algorithm, Design, Experimentation, Performance.
KW - Embedded systems
KW - Local memory
KW - Multi-core processor
KW - SPM
KW - Scratchpad memory
KW - Stack data
UR - http://www.scopus.com/inward/record.url?scp=84879852650&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84879852650&partnerID=8YFLogxK
U2 - 10.1145/2463209.2488918
DO - 10.1145/2463209.2488918
M3 - Conference contribution
AN - SCOPUS:84879852650
SN - 9781450320719
T3 - Proceedings - Design Automation Conference
BT - Proceedings of the 50th Annual Design Automation Conference, DAC 2013
Y2 - 29 May 2013 through 7 June 2013
ER -