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path: root/src/gpu-compute/GPU.py
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2019-04-28mem: Minimize the use of MemObject.Gabe Black
MemObject doesn't provide anything beyond its base ClockedObject any more, so this change removes it from most inheritance hierarchies. Occasionally MemObject is replaced with SimObject when I was fairly confident that the extra functionality of ClockedObject wasn't needed. Change-Id: Ic014ab61e56402e62548e8c831eb16e26523fdce Reviewed-on: https://gem5-review.googlesource.com/c/public/gem5/+/18289 Tested-by: kokoro <noreply+kokoro@google.com> Reviewed-by: Anthony Gutierrez <anthony.gutierrez@amd.com> Maintainer: Gabe Black <gabeblack@google.com>
2019-02-12python: Don't assume SimObjects live in the global namespaceAndreas Sandberg
The importer in Python 3 doesn't like the way we import SimObjects from the global namespace. Convert the existing SimObject declarations to import from m5.objects. As a side-effect, this makes these files consistent with configuration files. Change-Id: I11153502b430822130722839e1fa767b82a027aa Signed-off-by: Andreas Sandberg <andreas.sandberg@arm.com> Reviewed-on: https://gem5-review.googlesource.com/c/15981 Reviewed-by: Jason Lowe-Power <jason@lowepower.com> Reviewed-by: Giacomo Travaglini <giacomo.travaglini@arm.com>
2016-10-26gpu-compute: support in-order data delivery in GM pipeTony Gutierrez
this patch adds an ordered response buffer to the GM pipeline to ensure in-order data delivery. the buffer is implemented as a stl ordered map, which sorts the request in program order by using their sequence ID. when requests return to the GM pipeline they are marked as done. only the oldest request may be serviced from the ordered buffer, and only if is marked as done. the FIFO response buffers are kept and used in OoO delivery mode
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.
2016-06-09gpu-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.
2016-01-19gpu-compute: AMD's baseline GPU modelTony Gutierrez