Sniper: Exploring the level of abstraction for scalable and accurate parallel multi-core simulation
By Trevor E. Carlson, Wim Heirman, Lieven Eeckhout. 2011 International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2011
968 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/52811f39eae88cac914a92a49636a7a92d3d438b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Shaizeen Aga
- Daniel Sánchez
- Trevor E. Carlson
- Christos Kozyrakis
- Wim Heirman
- Mahmoud Khairy
- Arun K. Subramaniyan
- Stijn Eyerman
Citations in the corpus
- Compute Caches (2017, methodology): “We model a multi-core processor using SniperSim [21], a Pin-based simulator per Table IV.”
- ZSim: fast and accurate microarchitectural simulation of thousand-core systems (2013, methodology): “Other parallel simulators [8, 27] relax synchronization requirements to achieve scalability.”
- An Evaluation of High-Level Mechanistic Core Models (2014, methodology): “Interval simulation has been shown to be both a fast and accurate way to simulate the effects of microarchitectural changes on performance [Genbrugge et al. 2010; Carlson et al. 2011].”
- Accel-Sim: An Extensible Simulation Framework for Validated GPU Modeling (2018, background): “Sniper [7] is a multithreaded CPU simulator that can execute in trace-or execution-driven mode using PIN-based callbacks to simulate instructions without emulation.”