MARSS: A full system simulator for multicore x86 CPUs
By Avadh Patel, F. Afram, Shunfei Chen, K. Ghose. Design Automation Conference, 2011
413 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Hardware and Architecture
View Paper: https://www.semanticscholar.org/paper/a74fcb3aed8af34808863746fec04c4b5213e601
How researchers see this paper
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In Computer Networks and Communications
- Christos Kozyrakis
- Daniel Sánchez
- Michael Schwarz
- Lieven Eeckhout
- Frank Piessens
- Daniel Gruss
- Stijn Eyerman
- Onur Mutlu
In Hardware and Architecture
- Lieven Eeckhout
- Wim Heirman
- Trevor E. Carlson
- Christos Kozyrakis
- Daniel Sánchez
- Frank Piessens
- Daniel Gruss
- Stijn Eyerman
Citations in the corpus
- A Systematic Evaluation of Transient Execution Attacks and Defenses (2018, background): “InvisiSpec [94] 22% [94] SPEC SafeSpec [47] 3% (improvement) [47] SPEC2017 on MARSSx86 [72] DAWG [49] 2–12%, 1–15% [49] PARSEC [12], GAPBS [11] RSB Stuffing [42] no reports Retpoline [88] 5–10% [15] real-world workload servers Site Isolation [86] only memory overhead [86] SLH [16, 22] 36.”
- ZSim: fast and accurate microarchitectural simulation of thousand-core systems (2013, methodology): “MARSS, a PTLSim-based simulator with a cycle-accurate OOO x86 model, has performance differences that range from -59% to +50% on SPEC CPU2006, with only 5 benchmarks being within 10% [30, Slide 32].”
- An Evaluation of High-Level Mechanistic Core Models (2014, methodology): “Although traditional cycle-level simulation techniques [Emer et al. 2002; Hardavellas et al. 2004; Loh et al. 2009; Binkert et al. 2011; Patel et al. 2011] provide sufficient detail, they can be very slow and result in a large simulation bottleneck where accurate microarchitectural evaluation of a…”