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alirezamon |
= SynFull Models
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Several models are provided for you that have been generated based on ideal network traces as described in the paper.
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These models are for a variety of PARSEC and SPLASH-2 benchmarks.
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The model files themselves are in text format, so you can see the actual raw values that were modelled.
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The code takes these values and converts them into probability distributions (with the exception of the Markov probability matrices).
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== Manually Changing Model Data
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You can potentially change the values found in the model files to create your own custom model, however I have not experimented with this.
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You should also be careful, as the traffic generator expects certain values for certain parts of the model.
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I would be weary of changing the Markov probabilities, for example, but changing the volume distributions (e.g. WRITE_INJECTION) is probably harmless.
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== Model Description
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The model files are divided into several sections with different headers.
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Simple headers act as name-value pairs, while complex headers have a BEGIN and END and usually identify some probability distribution.
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A description for each of these headers can be found below.
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=== Simple Headers
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HIER_CLASSES:: The number of macro phases in the model file.
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TIME_SPAN:: The number of cycles long each macro phase is.
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MEMORY:: The memory the Markov chain supports (currently, only 1 is supported).
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NUM_NODES:: The number of nodes in the simulation (i.e. sources and destinations).
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NUM_CLASSES:: The number of micro phases for a given macro phase.
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RESOLUTION:: The number of cycles long each micro phase is.
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=== Complex Headers
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HIER_BEGIN_ID:: The micro model for the given macro phase begins after this line.
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HIER_MARKOV:: The transition probability matrix for macro phases (Markov Chain).
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HIER_MARKOV_STEADY:: The Markov chain's steady state for macro phases.
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MARKOV:: The transition probability matrix for micro phases (Markov Chain).
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MARKOV_STEADY:: The Markov chain's steady state for micro phases (not used).
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*_SPATIAL:: The spatial injection distribution (i.e. who injects) per message type.
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*_FLOWS:: The flow injection distribution (i.e. destinations) per message type.
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*_INJECTION:: The volume distributions per message type. Starts at zero.
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FORWARD_PROB:: The probability a directory forwards a request.
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FORWARD_FLOWS:: The flow injection distribution for forwarded requests.
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INVALIDATE_PROB:: The volume distribution for invalidates at each message type.
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INVALIDATE_FLOWS:: The flow injection distribution for invalidates at each directory.
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