The DOI matches its Crossref record.
Complete computer system simulation: the SimOS approach
Abstract
SimOS is a simulation environment capable of modeling complete computer systems, including a full operating system and all application programs that run on top of it. Two features help make this possible. First, SimOS provides an extremely fast simulation of system hardware, and the second feature that enables SimOS to model the full operating system is its ability to control the level of simulation detail. Designed for efficient and accurate study of both uniprocessor and multiprocessor systems, SimOS simulates computer hardware in enough detail to run an entire operating system and provides substantial flexibility in the tradeoff between simulation speed and detail.>
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Graphite: A distributed parallel simulator for multicores
Miller, J. E., Kasture, H., Kurian, G., Gruenwald, C., Beckmann, N., Celio, C., Eastep, J., & Agarwal, A. (2010) · HPCA - 16 2010 The Sixteenth International Symposium on High-Performance Computer Architecture · doi:10.1109/hpca.2010.5416635 · Cited by 478
RAMP: Research Accelerator for Multiple Processors
Wawrzynek, J., Patterson, D., Oskin, M., Lu, S.-L., Kozyrakis, C., Hoe, J. C., Chiou, D., & Asanovic, K. (2007) · IEEE Micro · doi:10.1109/mm.2007.39 · Cited by 168
An evaluation of speculative instruction execution on simultaneous multithreaded processors
Swanson, S., McDowell, L. K., Swift, M. M., Eggers, S. J., & Levy, H. M. (2003) · ACM Transactions on Computer Systems · doi:10.1145/859716.859720 · Cited by 17
Metadata
- Authors
- Rosenblum, M., Herrod, S. A., Witchel, E., & Gupta, A.
- Venue
- IEEE Parallel & Distributed Technology: Systems & Applications
- Published
- 1995
- Volume
- 3
- Issue
- 4
- Pages
- 34-43
- ISSN
- 1063-6552 (ISSN-L)
- OpenAlex
- W2141342364
- Cited by
- 498
- References
- 0
- FWCI
- 51.47
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Complete computer system simulation: the SimOS approach. https://app.cochat.ai/papers/10.1109/88.473612
- The paper
- Rosenblum, M., Herrod, S. A., Witchel, E., & Gupta, A. (1995). Complete computer system simulation: the SimOS approach. IEEE Parallel & Distributed Technology: Systems & Applications. https://doi.org/10.1109/88.473612
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
