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authorAndreas Hansson <andreas.hansson@arm.com>2012-09-21 11:48:08 -0400
committerAndreas Hansson <andreas.hansson@arm.com>2012-09-21 11:48:08 -0400
commitd75b1b5a7366c162ffca69b29901f4cb5e05895d (patch)
treefae9c10ca5b245930bfc91098c7edd0cfc386417 /src/cpu/testers/traffic_gen/TrafficGen.py
parent4aee3aa073f9a20fff88daf0dd224e5c11d84b4e (diff)
downloadgem5-d75b1b5a7366c162ffca69b29901f4cb5e05895d.tar.xz
TrafficGen: Add a basic traffic generator
This patch adds a traffic generator to the code base. The generator is aimed to be used as a black box model to create appropriate use-cases and benchmarks for the memory system, and in particular the interconnect and the memory controller. The traffic generator is a master module, where the actual behaviour is captured in a state-transition graph where each state generates some sort of traffic. By constructing a graph it is possible to create very elaborate scenarios from basic generators. Currencly the set of generators include idling, linear address sweeps, random address sequences and playback of traces (recording will be done by the Communication Monitor in a follow-up patch). At the moment the graph and the states are described in an ad-hoc line-based format, and in the future this should be aligned with our used of e.g. the Google protobufs. Similarly for the traces, the format is currently a simplistic ad-hoc line-based format that merely serves as a starting point. In addition to being used as a black-box model for system components, the traffic generator is also useful for creating test cases and regressions for the interconnect and memory system. In future patches we will use the traffic generator to create DRAM test cases for the controller model. The patch following this one adds a basic regressions which also contains an example configuration script and trace file for playback.
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+# Copyright (c) 2012 ARM Limited
+# All rights reserved.
+#
+# The license below extends only to copyright in the software and shall
+# not be construed as granting a license to any other intellectual
+# property including but not limited to intellectual property relating
+# to a hardware implementation of the functionality of the software
+# licensed hereunder. You may use the software subject to the license
+# terms below provided that you ensure that this notice is replicated
+# unmodified and in its entirety in all distributions of the software,
+# modified or unmodified, in source code or in binary form.
+#
+# Redistribution and use in source and binary forms, with or without
+# modification, are permitted provided that the following conditions are
+# met: redistributions of source code must retain the above copyright
+# notice, this list of conditions and the following disclaimer;
+# redistributions in binary form must reproduce the above copyright
+# notice, this list of conditions and the following disclaimer in the
+# documentation and/or other materials provided with the distribution;
+# neither the name of the copyright holders nor the names of its
+# contributors may be used to endorse or promote products derived from
+# this software without specific prior written permission.
+#
+# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+# A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
+# OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
+# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
+# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
+# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
+# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+#
+# Authors: Thomas Grass
+# Andreas Hansson
+# Sascha Bischoff
+
+from m5.params import *
+from m5.proxy import *
+from MemObject import MemObject
+
+# The traffic generator is a master module that generates stimuli for
+# the memory system, based on a collection of simple behaviours that
+# are either probabilistic or based on traces. It can be used stand
+# alone for creating test cases for interconnect and memory
+# controllers, or function as a black-box replacement for system
+# components that are not yet modelled in detail, e.g. a video engine
+# or baseband subsystem in an SoC.
+#
+# The traffic generator has a single master port that is used to send
+# requests, independent of the specific behaviour. The behaviour of
+# the traffic generator is specified in a configuration file, and this
+# file describes a state transition graph where each state is a
+# specific generator behaviour. Examples include idling, generating
+# linear address sequences, random sequences and replay of captured
+# traces. By describing these behaviours as states, it is straight
+# forward to create very complex behaviours, simply by arranging them
+# in graphs. The graph transitions can also be annotated with
+# probabilities, effectively making it a Markov Chain.
+class TrafficGen(MemObject):
+ type = 'TrafficGen'
+
+ # Port used for sending requests and receiving responses
+ port = MasterPort("Master port")
+
+ # Config file to parse for the state descriptions
+ config_file = Param.String("Configuration file describing the behaviour")
+
+ # System used to determine the mode of the memory system
+ system = Param.System(Parent.any, "System this generator is part of")