Simulation Environment Sample Clauses

Simulation Environment. Our simulation framework is a combination of tools chosen to simulate a CMP system as closely as possible. In Figure 2, we present an overview of the simulation environment. Multi2sim [15] is a simulation framework for heterogeneous computing, including models for superscalar, multi- threaded, multicore, and graphics processors. It allows one or more applications to run on top of it without booting a guest operating system, and implements emulation of system calls and x86 instructions. Multi2sim implements contexts which define how an application behaves. It is able to model a complete memory hierarchy system integrated into the CMP and its connection to the respective processor cores. Although Multi2sim allows for defining basic interconnection networks (bus and basic point-to-point), we opted to combine Multi2sim with an in-house cycle-accurate flit-level network-on-chip simulator called gNoCsim (developed by Universidad Polit´ecnica de Va- lencia, and being used in the NaNoC project [11] by different partners). gNoCsim is able to simulate the communication and more complex topologies for all the resources in the chip; caches, memory controllers, and processor cores. With this simulator, different configurations of routing strategies, arbitration control, and packet switching policies can be defined, as well as other switch properties like buffering strategies et cetera.

Simulation Environment. The Simulation Environment (as described in Section 5.1 of Schedule 10.2 to the Agreement) will be operated unattended on all trading days of the CBOT Electronic Market for the following hours of operation: --------------------------------------------------------------- Operation Time --------------------------------------------------------------- Online operation (batch runs are, 9:00 a.m. to 3:00 a.m. therefore, only possible outside on the next trading day this time) for each trading day --------------------------------------------------------------- The Simulation Environment is available for approximately [**] per year due to release introductions. Usually [**] per week with three batches are supported. The simulation Schedules to the New Systems Operations Agreement Final Schedule 11 to the New Systems Operations Agreement will only be closed for batch runs. As the Simulation Environment is operated by unattended operations, any issues will only be fixed during the next trading day.

Simulation Environment. In order to simulate B-GKAP, we have used a machine with IntelⓍR CoreTM i7-4870HQ (2.2GHz ⇥ 4), L2 Cache 256KB, L3 Cache 6MB, 16GB RAM and 256GB HDD space. The operating system of the machine is macOS Mojave (version 10.14.16). Since Hyper- ledger Fabric network components runs on docker containers, we have used Docker Engine (version 18.06.1-ce-mac73 (26764) stable) [62], and to orchestrate the containers we have utilized Docker Compose (version 1.22.0) [63]. We have used Hyperledger Fabric version

Simulation Environment. ‌ One widely used network simulator is NS-2, provided by the University of Berkeley. NS-2 is a discrete event simulator targeted at networking research. It provides substantial support for simulation of TCP, routing, and DiffServ over wired and wireless (local and satellite) networks. The code (open source) is written in C++ and network topologies and simulations are driven by a TCL interface. Various contributors to NS include Nortel, Bell Labs, various universities and individuals. We will first start by describing the newly developed DiffServ NS-2 module that allows switching between the various SLA models, then we will talk about the setup of the Gold, Silver and Bronze traffic classes and finally we will display some general information concerning the simulation results.

Simulation Environment. All test benches/simulation suites used to stimulate the GECKO design in either behavioral or gate level verification. These test benches consist of Verilog or C-Model or other modules used for stimulation or verification of the design. These files can be found on pages 1-11 in the attached "LIST OF FILES."

Simulation Environment. The GES simulation environment is a unique open architecture software package developed over twenty years by TNO at the bequest of the Royal Netherlands Navy to facilitate the study the energy flow on-board marine vessels. GES provides a simulation tool allowing analysis of energy flow of complex processes and systems, modelling at a component or sub-system level. GES is a flexible tool that uses simple connectable building blocks to create component models to create whole ship or process systems can be used to explore and compare different configurations and energy strategies at an operational level (Van Hugt, 2000). Due to the open architecture of GES, many other aspects of the system and components can be included into the model. Aspects such as weight, size, failure rates (MTBF), maintenance times (MTTR), costs, efficiency and fuel consumption can all be included as separate parameters into the simulation. In addition, GES can use an excel file import and export real-time operation data for easy analysis and comparison of different system configurations or designs. Some of the typical applications of the GES program are;  Analysis of installed integrated and interdependent propulsion and power generation systems  Determining and comparing the effects of the application of new technology systems or operational strategies on the whole system or individual components  Enabling rapid system design and analyses  Optimising operational performance of installed systems  Determining the residual capacity of system in case component malfunction  Cost and environmental impact analyses of entire systems or at a component level GES is based on the bond graph method for energy flow analysis. The bond graph method is a domain-independent graphical notation of physical parameter modelling system, which is the basis of the object-orientation simulation in GES. Figure 3 shows the basic building blocks consist of a number of inputs and outputs know as gates defined by two factors, effort and flow. The relationship between the input and output gates defined by some function of the effort and flow parameters. Figure 3: Structure of the basic building block concept in the GES environment For example, in the block shown in Figure 4, the input power (Pin) is defined as by a function of the effort, Toque (τ), and the flow, angular velocity (ω). This can be further translated to give the electric output power (Pout) in terms of the effort, voltage (U) and the flow, curre...