src/gpu-compute/gpu_command_processor.cc - public/gem5 - Git at Google

 /*
  * Copyright (c) 2018 Advanced Micro Devices, Inc.
  * All rights reserved.
  *
  * For use for simulation and test purposes only
  *
  * Redistribution and use in source and binary forms, with or without
  * modification, are permitted provided that the following conditions are met:
  *
  * 1. Redistributions of source code must retain the above copyright notice,
  * this list of conditions and the following disclaimer.
  *
  * 2. 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.
  *
  * 3. Neither the name of the copyright holder 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 HOLDER 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: Anthony Gutierrez
  */

 #include "gpu-compute/gpu_command_processor.hh"

 #include "debug/GPUCommandProc.hh"
 #include "debug/GPUKernelInfo.hh"
 #include "gpu-compute/dispatcher.hh"
 #include "params/GPUCommandProcessor.hh"

 GPUCommandProcessor::GPUCommandProcessor(const Params *p)
     : HSADevice(p), dispatcher(*p->dispatcher)
 {
     dispatcher.setCommandProcessor(this);
 }

 /**
  * submitDispatchPkt() is the entry point into the CP from the HSAPP
  * and is only meant to be used with AQL kernel dispatch packets.
  * After the HSAPP receives and extracts an AQL packet, it sends
  * it to the CP, which is responsible for gathering all relevant
  * information about a task, initializing CU state, and sending
  * it to the dispatcher for WG creation and dispatch.
  *
  * First we need capture all information from the the AQL pkt and
  * the code object, then store it in an HSAQueueEntry. Once the
  * packet and code are extracted, we extract information from the
  * queue descriptor that the CP needs to perform state initialization
  * on the CU. Finally we call dispatch() to send the task to the
  * dispatcher. When the task completely finishes, we call finishPkt()
  * on the HSA packet processor in order to remove the packet from the
  * queue, and notify the runtime that the task has completed.
  */
 void
 GPUCommandProcessor::submitDispatchPkt(void *raw_pkt, uint32_t queue_id,
                                        Addr host_pkt_addr)
 {
     static int dynamic_task_id = 0;
     _hsa_dispatch_packet_t *disp_pkt = (_hsa_dispatch_packet_t*)raw_pkt;

     /**
      * we need to read a pointer in the application's address
      * space to pull out the kernel code descriptor.
      */
     auto *tc = sys->threads[0];
     auto &virt_proxy = tc->getVirtProxy();

     /**
      * The kernel_object is a pointer to the machine code, whose entry
      * point is an 'amd_kernel_code_t' type, which is included in the
      * kernel binary, and describes various aspects of the kernel. The
      * desired entry is the 'kernel_code_entry_byte_offset' field,
      * which provides the byte offset (positive or negative) from the
      * address of the amd_kernel_code_t to the start of the machine
      * instructions.
      */
     AMDKernelCode akc;
     virt_proxy.readBlob(disp_pkt->kernel_object, (uint8_t*)&akc,
         sizeof(AMDKernelCode));

     DPRINTF(GPUCommandProc, "GPU machine code is %lli bytes from start of the "
         "kernel object\n", akc.kernel_code_entry_byte_offset);

     Addr machine_code_addr = (Addr)disp_pkt->kernel_object
         + akc.kernel_code_entry_byte_offset;

     DPRINTF(GPUCommandProc, "Machine code starts at addr: %#x\n",
         machine_code_addr);

     Addr kern_name_addr(0);
     std::string kernel_name;

     /**
      * BLIT kernels don't have symbol names.  BLIT kernels are built-in compute
      * kernels issued by ROCm to handle DMAs for dGPUs when the SDMA
      * hardware engines are unavailable or explicitly disabled.  They can also
      * be used to do copies that ROCm things would be better performed
      * by the shader than the SDMA engines.  They are also sometimes used on
      * APUs to implement asynchronous memcopy operations from 2 pointers in
      * host memory.  I have no idea what BLIT stands for.
      * */
     if (akc.runtime_loader_kernel_symbol) {
         virt_proxy.readBlob(akc.runtime_loader_kernel_symbol + 0x10,
             (uint8_t*)&kern_name_addr, 0x8);

         virt_proxy.readString(kernel_name, kern_name_addr);
     } else {
         kernel_name = "Blit kernel";
     }

     DPRINTF(GPUKernelInfo, "Kernel name: %s\n", kernel_name.c_str());

     HSAQueueEntry *task = new HSAQueueEntry(kernel_name, queue_id,
         dynamic_task_id, raw_pkt, &akc, host_pkt_addr, machine_code_addr);

     DPRINTF(GPUCommandProc, "Task ID: %i Got AQL: wg size (%dx%dx%d), "
         "grid size (%dx%dx%d) kernarg addr: %#x, completion "
         "signal addr:%#x\n", dynamic_task_id, disp_pkt->workgroup_size_x,
         disp_pkt->workgroup_size_y, disp_pkt->workgroup_size_z,
         disp_pkt->grid_size_x, disp_pkt->grid_size_y,
         disp_pkt->grid_size_z, disp_pkt->kernarg_address,
         disp_pkt->completion_signal);

     DPRINTF(GPUCommandProc, "Extracted code object: %s (num vector regs: %d, "
         "num scalar regs: %d, code addr: %#x, kernarg size: %d, "
         "LDS size: %d)\n", kernel_name, task->numVectorRegs(),
         task->numScalarRegs(), task->codeAddr(), 0, 0);

     initABI(task);
     ++dynamic_task_id;
 }

 /**
  * submitVendorPkt() is for accepting vendor-specific packets from
  * the HSAPP. Vendor-specific packets may be used by the runtime to
  * send commands to the HSA device that are specific to a particular
  * vendor. The vendor-specific packets should be defined by the vendor
  * in the runtime.
  */

 /**
  * TODO: For now we simply tell the HSAPP to finish the packet,
  *       however a future patch will update this method to provide
  *       the proper handling of any required vendor-specific packets.
  *       In the version of ROCm that is currently supported (1.6)
  *       the runtime will send packets that direct the CP to
  *       invalidate the GPUs caches. We do this automatically on
  *       each kernel launch in the CU, so this is safe for now.
  */
 void
 GPUCommandProcessor::submitVendorPkt(void *raw_pkt, uint32_t queue_id,
     Addr host_pkt_addr)
 {
     hsaPP->finishPkt(raw_pkt, queue_id);
 }

 /**
  * Once the CP has finished extracting all relevant information about
  * a task and has initialized the ABI state, we send a description of
  * the task to the dispatcher. The dispatcher will create and dispatch
  * WGs to the CUs.
  */
 void
 GPUCommandProcessor::dispatchPkt(HSAQueueEntry *task)
 {
     dispatcher.dispatch(task);
 }

 /**
  * The CP is responsible for traversing all HSA-ABI-related data
  * structures from memory and initializing the ABI state.
  * Information provided by the MQD, AQL packet, and code object
  * metadata will be used to initialze register file state.
  */
 void
 GPUCommandProcessor::initABI(HSAQueueEntry *task)
 {
     auto *readDispIdOffEvent = new ReadDispIdOffsetDmaEvent(*this, task);

     Addr hostReadIdxPtr
         = hsaPP->getQueueDesc(task->queueId())->hostReadIndexPtr;

     dmaReadVirt(hostReadIdxPtr + sizeof(hostReadIdxPtr),
         sizeof(readDispIdOffEvent->readDispIdOffset), readDispIdOffEvent,
             &readDispIdOffEvent->readDispIdOffset);
 }

 System*
 GPUCommandProcessor::system()
 {
     return sys;
 }

 AddrRangeList
 GPUCommandProcessor::getAddrRanges() const
 {
     AddrRangeList ranges;
     return ranges;
 }

 void
 GPUCommandProcessor::setShader(Shader *shader)
 {
     _shader = shader;
 }

 Shader*
 GPUCommandProcessor::shader()
 {
     return _shader;
 }

 GPUCommandProcessor*
 GPUCommandProcessorParams::create()
 {
     return new GPUCommandProcessor(this);
 }
	/*
	* Copyright (c) 2018 Advanced Micro Devices, Inc.
	* All rights reserved.
	*
	* For use for simulation and test purposes only
	*
	* Redistribution and use in source and binary forms, with or without
	* modification, are permitted provided that the following conditions are met:
	*
	* 1. Redistributions of source code must retain the above copyright notice,
	* this list of conditions and the following disclaimer.
	*
	* 2. 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.
	*
	* 3. Neither the name of the copyright holder 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 HOLDER 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: Anthony Gutierrez
	*/

	#include "gpu-compute/gpu_command_processor.hh"

	#include "debug/GPUCommandProc.hh"
	#include "debug/GPUKernelInfo.hh"
	#include "gpu-compute/dispatcher.hh"
	#include "params/GPUCommandProcessor.hh"

	GPUCommandProcessor::GPUCommandProcessor(const Params *p)
	: HSADevice(p), dispatcher(*p->dispatcher)
	{
	dispatcher.setCommandProcessor(this);
	}

	/**
	* submitDispatchPkt() is the entry point into the CP from the HSAPP
	* and is only meant to be used with AQL kernel dispatch packets.
	* After the HSAPP receives and extracts an AQL packet, it sends
	* it to the CP, which is responsible for gathering all relevant
	* information about a task, initializing CU state, and sending
	* it to the dispatcher for WG creation and dispatch.
	*
	* First we need capture all information from the the AQL pkt and
	* the code object, then store it in an HSAQueueEntry. Once the
	* packet and code are extracted, we extract information from the
	* queue descriptor that the CP needs to perform state initialization
	* on the CU. Finally we call dispatch() to send the task to the
	* dispatcher. When the task completely finishes, we call finishPkt()
	* on the HSA packet processor in order to remove the packet from the
	* queue, and notify the runtime that the task has completed.
	*/
	void
	GPUCommandProcessor::submitDispatchPkt(void *raw_pkt, uint32_t queue_id,
	Addr host_pkt_addr)
	{
	static int dynamic_task_id = 0;
	_hsa_dispatch_packet_t disp_pkt = (_hsa_dispatch_packet_t)raw_pkt;

	/**
	* we need to read a pointer in the application's address
	* space to pull out the kernel code descriptor.
	*/
	auto *tc = sys->threads[0];
	auto &virt_proxy = tc->getVirtProxy();

	/**
	* The kernel_object is a pointer to the machine code, whose entry
	* point is an 'amd_kernel_code_t' type, which is included in the
	* kernel binary, and describes various aspects of the kernel. The
	* desired entry is the 'kernel_code_entry_byte_offset' field,
	* which provides the byte offset (positive or negative) from the
	* address of the amd_kernel_code_t to the start of the machine
	* instructions.
	*/
	AMDKernelCode akc;
	virt_proxy.readBlob(disp_pkt->kernel_object, (uint8_t*)&akc,
	sizeof(AMDKernelCode));

	DPRINTF(GPUCommandProc, "GPU machine code is %lli bytes from start of the "
	"kernel object\n", akc.kernel_code_entry_byte_offset);

	Addr machine_code_addr = (Addr)disp_pkt->kernel_object
	+ akc.kernel_code_entry_byte_offset;

	DPRINTF(GPUCommandProc, "Machine code starts at addr: %#x\n",
	machine_code_addr);

	Addr kern_name_addr(0);
	std::string kernel_name;

	/**
	* BLIT kernels don't have symbol names. BLIT kernels are built-in compute
	* kernels issued by ROCm to handle DMAs for dGPUs when the SDMA
	* hardware engines are unavailable or explicitly disabled. They can also
	* be used to do copies that ROCm things would be better performed
	* by the shader than the SDMA engines. They are also sometimes used on
	* APUs to implement asynchronous memcopy operations from 2 pointers in
	* host memory. I have no idea what BLIT stands for.
	* */
	if (akc.runtime_loader_kernel_symbol) {
	virt_proxy.readBlob(akc.runtime_loader_kernel_symbol + 0x10,
	(uint8_t*)&kern_name_addr, 0x8);

	virt_proxy.readString(kernel_name, kern_name_addr);
	} else {
	kernel_name = "Blit kernel";
	}

	DPRINTF(GPUKernelInfo, "Kernel name: %s\n", kernel_name.c_str());

	HSAQueueEntry *task = new HSAQueueEntry(kernel_name, queue_id,
	dynamic_task_id, raw_pkt, &akc, host_pkt_addr, machine_code_addr);

	DPRINTF(GPUCommandProc, "Task ID: %i Got AQL: wg size (%dx%dx%d), "
	"grid size (%dx%dx%d) kernarg addr: %#x, completion "
	"signal addr:%#x\n", dynamic_task_id, disp_pkt->workgroup_size_x,
	disp_pkt->workgroup_size_y, disp_pkt->workgroup_size_z,
	disp_pkt->grid_size_x, disp_pkt->grid_size_y,
	disp_pkt->grid_size_z, disp_pkt->kernarg_address,
	disp_pkt->completion_signal);

	DPRINTF(GPUCommandProc, "Extracted code object: %s (num vector regs: %d, "
	"num scalar regs: %d, code addr: %#x, kernarg size: %d, "
	"LDS size: %d)\n", kernel_name, task->numVectorRegs(),
	task->numScalarRegs(), task->codeAddr(), 0, 0);

	initABI(task);
	++dynamic_task_id;
	}

	/**
	* submitVendorPkt() is for accepting vendor-specific packets from
	* the HSAPP. Vendor-specific packets may be used by the runtime to
	* send commands to the HSA device that are specific to a particular
	* vendor. The vendor-specific packets should be defined by the vendor
	* in the runtime.
	*/

	/**
	* TODO: For now we simply tell the HSAPP to finish the packet,
	* however a future patch will update this method to provide
	* the proper handling of any required vendor-specific packets.
	* In the version of ROCm that is currently supported (1.6)
	* the runtime will send packets that direct the CP to
	* invalidate the GPUs caches. We do this automatically on
	* each kernel launch in the CU, so this is safe for now.
	*/
	void
	GPUCommandProcessor::submitVendorPkt(void *raw_pkt, uint32_t queue_id,
	Addr host_pkt_addr)
	{
	hsaPP->finishPkt(raw_pkt, queue_id);
	}

	/**
	* Once the CP has finished extracting all relevant information about
	* a task and has initialized the ABI state, we send a description of
	* the task to the dispatcher. The dispatcher will create and dispatch
	* WGs to the CUs.
	*/
	void
	GPUCommandProcessor::dispatchPkt(HSAQueueEntry *task)
	{
	dispatcher.dispatch(task);
	}

	/**
	* The CP is responsible for traversing all HSA-ABI-related data
	* structures from memory and initializing the ABI state.
	* Information provided by the MQD, AQL packet, and code object
	* metadata will be used to initialze register file state.
	*/
	void
	GPUCommandProcessor::initABI(HSAQueueEntry *task)
	{
	auto readDispIdOffEvent = new ReadDispIdOffsetDmaEvent(this, task);

	Addr hostReadIdxPtr
	= hsaPP->getQueueDesc(task->queueId())->hostReadIndexPtr;

	dmaReadVirt(hostReadIdxPtr + sizeof(hostReadIdxPtr),
	sizeof(readDispIdOffEvent->readDispIdOffset), readDispIdOffEvent,
	&readDispIdOffEvent->readDispIdOffset);
	}

	System*
	GPUCommandProcessor::system()
	{
	return sys;
	}

	AddrRangeList
	GPUCommandProcessor::getAddrRanges() const
	{
	AddrRangeList ranges;
	return ranges;
	}

	void
	GPUCommandProcessor::setShader(Shader *shader)
	{
	_shader = shader;
	}

	Shader*
	GPUCommandProcessor::shader()
	{
	return _shader;
	}

	GPUCommandProcessor*
	GPUCommandProcessorParams::create()
	{
	return new GPUCommandProcessor(this);
	}