TY - GEN
T1 - Memory Access Pattern Profiling for Streaming Applications Based on MATLAB Models
AU - Goldbrunner, Thomas
AU - Wild, Thomas
AU - Herkersdorf, Andreas
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/9/12
Y1 - 2018/9/12
N2 - In order to cope with the problems caused by the Data Deluge, for application-specific architectures it is important to design the system in such a way that the processing and memory subsystems are geared to each other. Especially for systems that need to fulfill high data throughput demands, there is a high risk, that otherwise there will be high degradation of the overall system performance caused by memory accesses. However especially for application-specific designs, it is possible to create a tailored memory subsystem by profiling the applications memory access patterns beforehand and then incorporating the information during the system design. For this purpose we present a data access pattern profiling framework, which can provide detailed information about an applications memory access patterns based on a MATLAB model of the application.
AB - In order to cope with the problems caused by the Data Deluge, for application-specific architectures it is important to design the system in such a way that the processing and memory subsystems are geared to each other. Especially for systems that need to fulfill high data throughput demands, there is a high risk, that otherwise there will be high degradation of the overall system performance caused by memory accesses. However especially for application-specific designs, it is possible to create a tailored memory subsystem by profiling the applications memory access patterns beforehand and then incorporating the information during the system design. For this purpose we present a data access pattern profiling framework, which can provide detailed information about an applications memory access patterns based on a MATLAB model of the application.
UR - http://www.scopus.com/inward/record.url?scp=85054507174&partnerID=8YFLogxK
U2 - 10.1109/PATMOS.2018.8464151
DO - 10.1109/PATMOS.2018.8464151
M3 - Conference contribution
AN - SCOPUS:85054507174
SN - 9781538663653
T3 - 2018 IEEE 28th International Symposium on Power and Timing Modeling, Optimization and Simulation, PATMOS 2018
SP - 32
EP - 38
BT - 2018 IEEE 28th International Symposium on Power and Timing Modeling, Optimization and Simulation, PATMOS 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 28th IEEE International Symposium on Power and Timing Modeling, Optimization and Simulation, PATMOS 2018
Y2 - 2 July 2018 through 4 July 2018
ER -