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Publikováno v:
2022 IEEE International Symposium on Secure and Private Execution Environment Design (SEED).
KnightSim: A Fast Discrete Event-Driven Simulation Methodology for Computer Architectural Simulation
Publikováno v:
IEEE Transactions on Computers. 69:65-71
In this paper we introduce a fast discrete event-driven simulation methodology, called KnightSim, that is intended for use in the development of future computer architectural simulations. KnightSim extends an older event-driven simulation library by
Publikováno v:
Proceedings of the Wisconsin Space Conference. 1
Active galactic nuclei in galaxy clusters can produce tightly collimated jets that inject energy into the surrounding intracluster medium (ICM). This feedback process can offset cooling losses from X-ray radiation that otherwise would result in cooli
Autor:
Mark Heinrich, Peter K. LeHardy
Publikováno v:
OCEANS 2021: San Diego – Porto.
Autor:
Mark Heinrich
Publikováno v:
Planning for Computing in Higher Education ISBN: 9780429301728
Planning for Computing in Higher Education
Planning for Computing in Higher Education
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a47bcd6394af22243975c22ede5248e
https://doi.org/10.4324/9780429301728-23
https://doi.org/10.4324/9780429301728-23
Publikováno v:
HPCC/SmartCity/DSS
In this paper we introduce a fast discrete event driven simulation methodology, called KnightSim, that is intended for use in the development of future computer architectural simulations. KnightSim extends an older event driven simulation library by
Publikováno v:
HPCC/SmartCity/DSS
The trend of storing (and retaining) everything continues as the rate of data generation grows dramatically. For the organizations that store and retain this data indefinitely, the cost grows proportionally with the increase in data generation. Furth
Autor:
Peter Graff ; Mark Heinrich
Publikováno v:
Daily Mail. 5/4/2023, p4. 2p.
Autor:
Christopher Giles, Mark Heinrich
Publikováno v:
ICCD
We introduce M2S-CGM a detailed architectural simulator that models the interactions between CPUs and GPUs operating in coherent heterogeneous compute environments. M2S-CGM extends an existing and established x86 CPU model and Southern Islands GPU mo