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path: root/src/gpu-compute/gpu_static_inst.hh
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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: mark functions with override if replacing virtualBrandon Potter
The clang compiler is more stringent than the recent versions of GCC when dealing with overrides. This changeset adds the specifier to the methods which need it to silence the compiler.
2016-10-26hsail,gpu-compute: fixes to appease clang++Tony Gutierrez
fixes to appease clang++. tested on: Ubuntu clang version 3.5.0-4ubuntu2~trusty2 (tags/RELEASE_350/final) (based on LLVM 3.5.0) Ubuntu clang version 3.6.0-2ubuntu1~trusty1 (tags/RELEASE_360/final) (based on LLVM 3.6.0) the fixes address the following five issues: 1) the exec continuations in gpu_static_inst.hh were marked as protected when they should be public. here we mark them as public 2) the Abs instruction uses std::abs() in its execute method. because Abs is templated, it can also operate on U32 and U64, types, which cause Abs::execute() to pass uint32_t and uint64_t types to std::abs() respectively. this triggers a warning because std::abs() has no effect in this case. to rememdy this we add template specialization for the execute() method of Abs when its template paramter is U32 or U64. 3) Some potocols that utilize the code in cprintf.hh were missing includes to BoolVec.hh, which defines operator<< for the BoolVec type. This would cause issues when the generated code would try to pass a BoolVec type to a method in cprintf.hh that used operator<< on an instance of a BoolVec. 4) Surprise, clang doesn't like it when you clobber all the bits in a newly allocated object. I.e., this code: tlb = new GpuTlbEntry\[size\]; std::memset(tlb, 0, sizeof(GpuTlbEntry) \* size); Let's use std::vector to track the TLB entries in the GpuTlb now... 5) There were a few variables used only in DPRINTFs, so we mark them with M5_VAR_USED.
2016-10-26gpu-compute, hsail: pass GPUDynInstPtr to getRegisterIndex()Tony Gutierrez
for HSAIL an operand's indices into the register files may be calculated trivially, because the operands are always read from a register file, or are an immediate. for machine ISA, however, an op selector may specify special registers, or may specify special SGPRs with an alias op selector value. the location of some of the special registers values are dependent on the size of the RF in some cases. here we add a way for the underlying getRegisterIndex() method to know about the size of the RFs, so that it may find the relative positions of the special register values.
2016-10-26gpu-compute, hsail: make the PC a byte address, not an instruction indexTony Gutierrez
currently the PC is incremented on an instruction granularity, and not as an instruction's byte address. machine ISA instructions assume the PC is a byte address, and is incremented accordingly. here we make the GPU model, and the HSAIL instructions treat the PC as a byte address as well.
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.
2016-10-26gpu-compute: move disassemle() implementation to GPUStaticInstTony Gutierrez
2016-10-26gpu-compute, arch: add some methods to the base inst classes for ISA supportTony Gutierrez
2016-01-19gpu-compute: AMD's baseline GPU modelTony Gutierrez