SimFlex: Statistical Sampling of Computer System Simulation

By Thomas F. Wenisch, Roland E. Wunderlich, Michael Ferdman, A. Ailamaki, Babak Falsafi, J. Hoe. IEEE Micro, 2006

380 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Hardware and Architecture

View Paper: https://www.semanticscholar.org/paper/7efc6ffde9b4275dbc8cdeb50fa53b4a9099c53f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Christos Kozyrakis
2. Daniel Sánchez
3. Chrysostomos Nicopoulos
4. George Kurian
5. Anant Agarwal
6. Boris Grot
7. Jason E. Miller
8. Christina Delimitrou

In Hardware and Architecture

1. Christos Kozyrakis
2. Daniel Sánchez
3. Chrysostomos Nicopoulos

Citations in the corpus

• ZSim: fast and accurate microarchitectural simulation of thousand-core systems (2013, methodology): “Sampling: Robust statistical sampling [51, 53] and automated techniques to simulate a small, representative portion of execution [44] are also widely used to reduce simulation time of long-running workloads.”
• Graphite: A distributed parallel simulator for multicores (2010, methodology): “SimFlex avoids this problem by using statistical sampling of the application but therefore does not observe its entire behavior.”
• Optimizing Data-Center TCO with Scale-Out Processors (2012, methodology): “UIPC is a more accurate performance metric in full-system evaluation than total IPC due to the contribution of I/O and spin locks in the operating system to the execution time.(14) Because of space constraints, we only present aggregate results across all workloads.”