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2018-05-16style: fix amd license and style issuesTony Gutierrez
Change-Id: I26136fb49f743c4a597f8021cfd27f78897267b5 Reviewed-on: https://gem5-review.googlesource.com/10463 Reviewed-by: Jason Lowe-Power <jason@lowepower.com> Maintainer: Anthony Gutierrez <anthony.gutierrez@amd.com>
2017-02-27gpu-compute: remove unnecessary member from classTony Gutierrez
The clang compiler complains that the wavefront member in the GpuISA class is unused. This changeset removes the member, because it does not appear serve a purpose.
2016-10-26gpu-compute: add gpu_isa.hh to switch hdrs, add GPUISA to WFTony Gutierrez
the GPUISA class is meant to encapsulate any ISA-specific behavior - special register accesses, isa-specific WF/kernel state, etc. - in a generic enough way so that it may be used in ISA-agnostic code. gpu-compute: use the GPUISA object to advance the PC the GPU model treats the PC as a pointer to individual instruction objects - which are store in a contiguous array - and not a byte address to be fetched from the real memory system. this is ok for HSAIL because all instructions are considered by the model to be the same size. in machine ISA, however, instructions may be 32b or 64b, and branches are calculated by advancing the PC by the number of words (4 byte chunks) it needs to advance in the real instruction stream. because of this there is a mismatch between the PC we use to index into the instruction array, and the actual byte address PC the ISA expects. here we move the PC advance calculation to the ISA so that differences in the instrucion sizes may be accounted for in generic way.
2016-10-26gpu-compute: add instruction mix stats for the gpuTony Gutierrez
2016-10-26gpu-compute, hsail: call discardFetch() from the WFTony Gutierrez
because every taken branch causes fetch to be discarded, we move the call to the WF to avoid to have to call it from each and every branch instruction type.
2016-10-26gpu-compute: remove inst enums and use bit flag for attributesTony Gutierrez
this patch removes the GPUStaticInst enums that were defined in GPU.py. instead, a simple set of attribute flags that can be set in the base instruction class are used. this will help unify the attributes of HSAIL and machine ISA instructions within the model itself. because the static instrution now carries the attributes, a GPUDynInst must carry a pointer to a valid GPUStaticInst so a new static kernel launch instruction is added, which carries the attributes needed to perform a the kernel launch.
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: 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: 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.
2016-06-09gpu-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>
2016-02-18gpu: 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.
2016-01-19gpu-compute: AMD's baseline GPU modelTony Gutierrez