Event Detail
Session: 40:Parameter Tuning in System Architecture Exploration
Type: Regular Session
Track: System Level and Embedded
Day:
Thursday
Time: 9:00 AM - 11:00 AM
Room: 6F
Chair: Erwin de Kock - NXP Semiconductors
40.1 Shared Resource Access Attributes for High-Level Contention Models, A. Bobrek - CMU,
J. Paul - Virginia Tech., D. Thomas - CMU
40.2 A Probabilistic Approach to Model Resource Contention for Performance Estimation of Multi-featured Media Devices, A. Kumar, B. Mesman, H. Corporaal, B. Theelen - Eindhoven Univ. of Tech., Y. Ha - Nat'l U. of Singapore
40.3 Automatic Cache Tuning for Energy-Efficiency using Local Regression Modeling, P. Hallschmid, R. Saleh
40.4 Reducing Data-Memory Footprint of Multimedia Applications by Delay Redistribution, B. Raman, S. Chakraborty, W. Tsang Ooi - Nat'l U. of Singapore,
S. Dutta - NVIDIA Corp.
Abstract: This session presents modeling techniques for estimation and optimization of system architecture. The first three papers employ statistical techniques for speeding up cycle simulation, estimating system performance, and tuning caches for low power. The fourth paper optimizes memory size for multi-media applications.
