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2016-10-04gpu-compute: Added method to compute the actual workgroup sizeAlexandru Dutu
This patch adds a method to the Wavefront class to compute the actual workgroup size. This can be different from the maximum workgroup size specified when launching the kernel through the NDRange object. Current solution is still not optimal, as we are computing these for each wavefront and the dispatcher also needs to have this information and can't actually call Wavefront::computeActuallWgSz before the wavefronts are being created. A long term solution would be to have a Workgroup class that deals with all these details.
2016-09-16gpu-compute: fix typo in GPUDispatcherTony Gutierrez
2016-09-16gpu-compute: Adding context serialization methods to WavefrontAlexandru Dutu
This patch adds methods to serialize the context of a particular wavefront to the simulated system memory. Context serialization is used when a wavefront is preempeted (i.e. context switch).
2016-09-16gpu-compute: Refactoring Wavefront::dynWaveIdAlexandru Dutu
2016-09-16gpu-compute: Adding vector register file debug messagesAlexandru Dutu
This patch introduces DPRINTFs for reading and writing to and from the vector register file.
2016-09-16gpu-compute: Changing reconvergenceStack typeAlexandru Dutu
std::stack has no iterators, therefore the reconvergence stack can't be iterated without poping elements off. We will be using std::list instead to be able to iterate for saving and restoring purposes.
2016-09-16gpu-compute: Adding ioctl for HW context sizeAlexandru Dutu
Adding runtime support for determining the memory required by a SIMD engine when executing a particular wavefront.
2016-09-16gpu-compute: Wavefront refactoringAlexandru Dutu
Renaming members of the Wavefront class in accordance with the style guide.
2016-09-16gpu-compute: Remove WFContextAlexandru Dutu
WFContext struct is currently unused and it has been rendered not useful in saving and restoring the context of a Wavefront. Wavefront class should be sufficient for that purpose and the runtime can figure out the memory size it will need to allocate for a Wavefront through an IOCTL.
2016-09-13gpu-compute: Fix bug with return in cfgMichael LeBeane
Connecting basic blocks would stop too early in kernels where ret was not the last instruction. This patch allows basic blocks after the ret instruction to be properly connected.
2016-06-09gpu-compute: parametrize Wavefront sizejkalamat
Eliminate the VSZ constant that defined the Wavefront size (in numbers of work items); replaced it with a parameter in the GPU.py configuration script. Changed all data structures dependent on the Wavefront size to be dynamically sized. Legal values of Wavefront size are 16, 32, 64 for now and checked at initialization time.
2016-06-06stats: Fixing regStats function for some SimObjectsDavid Guillen Fandos
Fixing an issue with regStats not calling the parent class method for most SimObjects in Gem5. This causes issues if one adds new stats in the base class (since they are never initialized properly!). Change-Id: Iebc5aa66f58816ef4295dc8e48a357558d76a77c Reviewed-by: Andreas Sandberg <andreas.sandberg@arm.com>
2016-06-03gpu-compute: Fixed a bug in global memory pipelineTuan Ta
Added a condition when inflightStores is incremented to prevent a deadlock caused by many memory fence requests generated by a CU
2016-05-16gpu-compute: fix bug in GPUDynInst::isScalarRegister()Tony Gutierrez
2016-05-06gpu-compute: fix spacing in GPUDynInst ctorTony Gutierrez
2016-05-06gpu-compute: fix uninitialized member bug in GPUDynInstTony Gutierrez
the n_reg field in the GPUDynInst is not currently set in the constructor. if it is not set externally, there are assertion failures that may occur if the random value it gets is just right. here we set it to 0 by default.
2016-04-07mem: Remove threadId from memory request classMitch Hayenga
In general, the ThreadID parameter is unnecessary in the memory system as the ContextID is what is used for the purposes of locks/wakeups. Since we allocate sequential ContextIDs for each thread on MT-enabled CPUs, ThreadID is unnecessary as the CPUs can identify the requesting thread through sideband info (SenderState / LSQ entries) or ContextID offset from the base ContextID for a cpu. This is a re-spin of 20264eb after the revert (bd1c6789) and includes some fixes of that commit.
2016-03-21gpu-compute: remove unused variable from scoreboard check stagejkalamat
appease clang by removing the unused private member variable, 'numGlbMemPipes', from the scoreboard check stage
2016-03-17syscall_emul: move mmapGrowsDown() to LiveProcessSteve Reinhardt
The mmapGrowsDown() method was a static method on the OperatingSystem class (and derived classes), which worked OK for the templated syscall emulation methods, but made it hard to access elsewhere. This patch moves the method to be a virtual function on the LiveProcess method, where it can be overridden for specific platforms (for now, Alpha). This patch also changes the value of mmapGrowsDown() from being false by default and true only on X86Linux32 to being true by default and false only on Alpha, which seems closer to reality (though in reality most people use ASLR and this doesn't really matter anymore). In the process, also got rid of the unused mmap_start field on LiveProcess and OperatingSystem mmapGrowsUp variable.
2016-03-04base: Fix gpu-compute output stream creationAndreas Hansson
Match changes in output stream.
2016-02-18gpu: fix bugs with MemFence, Flat Instrs and Resource utilizationJohn Kalamatianos
Both Memory Fence is now flagged as Global Memory only to avoid resource oversubscribing. Flat instructions now check for Shared Memory resource busy to avoid oversubscribing resources. All WaitClass resources now use cycles (not ticks) to register the number of pipe stages between Scoreboard and Execute to be consistent with instruction scheduling logic which always used clock cycles.
2016-02-17gpu-compute: remove brig_object.hh from hsa_object.ccTony Gutierrez
brig_object.hh is specific to the HSAIL ISA, and hence should not be included in ISA-agnostic code.
2016-01-19gpu-compute: AMD's baseline GPU modelTony Gutierrez