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authorGhjuvan Lacambre <lacambre@adacore.com>2020-01-30 11:47:00 +0100
committerPierre-Marie de Rodat <derodat@adacore.com>2020-10-19 05:53:39 -0400
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[Ada] Implement initialization of CUDA runtime
gcc/ada/ * debug.adb: Document -gnatd_c flag as being used for CUDA. * gnat_cuda.ads: New file. * gnat_cuda.adb: New file. * rtsfind.ads: Add Interfaces_C_Strings package and RE_Fatbin_Wrapper, RE_Register_Fat_Binary, RE_Register_Fat_Binary_End, RE_Register_Function, RE_Chars_Ptr, RE_New_Char_Array entities. * rtsfind.adb: Create new Interfaces_C_Descendant subtype, handle it. * sem_ch7.adb (Analyze_Package_Body_Helper): Call CUDA init procedure. * sem_prag.adb (Analyze_Pragma): Call Add_Cuda_Kernel procedure. * gcc-interface/Make-lang.in (GNAT_ADA_OBJS): Add gnat_cuda.o.
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+------------------------------------------------------------------------------
+-- --
+-- GNAT COMPILER COMPONENTS --
+-- --
+-- C U D A --
+-- --
+-- S p e c --
+-- --
+-- Copyright (C) 2010-2020, Free Software Foundation, Inc. --
+-- --
+-- GNAT is free software; you can redistribute it and/or modify it under --
+-- terms of the GNU General Public License as published by the Free Soft- --
+-- ware Foundation; either version 3, or (at your option) any later ver- --
+-- sion. GNAT is distributed in the hope that it will be useful, but WITH- --
+-- OUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY --
+-- or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License --
+-- for more details. You should have received a copy of the GNU General --
+-- Public License distributed with GNAT; see file COPYING3. If not, go to --
+-- http://www.gnu.org/licenses for a complete copy of the license. --
+-- --
+-- GNAT was originally developed by the GNAT team at New York University. --
+-- Extensive contributions were provided by Ada Core Technologies Inc. --
+-- --
+------------------------------------------------------------------------------
+
+-- This package defines CUDA-specific datastructures and subprograms.
+--
+-- Compiling for CUDA requires compiling for two targets. One is the CPU (more
+-- frequently named "host"), the other is the GPU (the "device"). Compiling
+-- for the host requires compiling the whole program. Compiling for the device
+-- only requires compiling packages that contain CUDA kernels.
+--
+-- When compiling for the device, GNAT-LLVM is used. It produces assembly
+-- tailored to Nvidia's GPU (NVPTX). This NVPTX code is then assembled into
+-- an object file by ptxas, an assembler provided by Nvidia. This object file
+-- is then combined with its source code into a fat binary by a tool named
+-- `fatbin`, also provided by Nvidia. The resulting fat binary is turned into
+-- a regular object file by the host's linker and linked with the program that
+-- executes on the host.
+--
+-- A CUDA kernel is a procedure marked with the CUDA_Global pragma or aspect.
+-- CUDA_Global does not have any effect when compiling for the device. When
+-- compiling for the host, the frontend stores procedures marked with
+-- CUDA_Global in a hash table the key of which is the Node_Id of the package
+-- body that contains the CUDA_Global procedure. This is done in sem_prag.adb.
+-- Once the declarations of a package body have been analyzed, variable, type
+-- and procedure declarations necessary for the initialization of the CUDA
+-- runtime are appended to the package that contains the CUDA_Global
+-- procedure.
+--
+-- These declarations are used to register the CUDA kernel with the CUDA
+-- runtime when the program is launched. Registering a CUDA kernel with the
+-- CUDA runtime requires multiple function calls:
+-- - The first one registers the fat binary which corresponds to the package
+-- with the CUDA runtime.
+-- - Then, as many function calls as there are kernels in order to bind them
+-- with the fat binary.
+-- fat binary.
+-- - The last call lets the CUDA runtime know that we are done initializing
+-- CUDA.
+-- Expansion of the CUDA_Global aspect is triggered in sem_ch7.adb, during
+-- analysis of the package. All of this expansion is performed in the
+-- Insert_CUDA_Initialization procedure defined in GNAT_CUDA.
+--
+-- Once a CUDA package is initialized, its kernels are ready to be used.
+-- Launching CUDA kernels is done by using the CUDA_Execute pragma. When
+-- compiling for the host, the CUDA_Execute pragma is expanded into a declare
+-- block which performs calls to the CUDA runtime functions.
+-- - The first one pushes a "launch configuration" on the "configuration
+-- stack" of the CUDA runtime.
+-- - The second call pops this call configuration, making it effective.
+-- - The third call actually launches the kernel.
+-- Light validation of the CUDA_Execute pragma is performed in sem_prag.adb
+-- and expansion is performed in exp_prag.adb.
+
+with Types; use Types;
+
+package GNAT_CUDA is
+
+ procedure Add_CUDA_Kernel (Pack_Id : Entity_Id; Kernel : Entity_Id);
+ -- Add Kernel to the list of CUDA_Global nodes that belong to Pack_Id.
+ -- Kernel is a procedure entity marked with CUDA_Global, Pack_Id is the
+ -- entity of its parent package body.
+
+ procedure Build_And_Insert_CUDA_Initialization (N : Node_Id);
+ -- Builds declarations necessary for CUDA initialization and inserts them
+ -- in N, the package body that contains CUDA_Global nodes. These
+ -- declarations are:
+ --
+ -- * A symbol to hold the pointer to the CUDA fat binary
+ --
+ -- * A type definition for a wrapper that contains the pointer to the
+ -- CUDA fat binary
+ --
+ -- * An object of the aforementioned type to hold the aforementioned
+ -- pointer.
+ --
+ -- * For each CUDA_Global procedure in the package, a declaration of a C
+ -- string containing the function's name.
+ --
+ -- * A function that takes care of calling CUDA functions that register
+ -- CUDA_Global procedures with the runtime.
+ --
+ -- * A boolean that holds the result of the call to the aforementioned
+ -- function.
+
+end GNAT_CUDA;