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      3     <title>Dalvik Porting Guide</title>
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      6 <body>
      7 <h1>Dalvik Porting Guide</h1>
      8 
      9 <p>
     10 The Dalvik virtual machine is intended to run on a variety of platforms.
     11 The baseline system is expected to be a variant of UNIX (Linux, BSD, Mac
     12 OS X) running the GNU C compiler.  Little-endian CPUs have been exercised
     13 the most heavily, but big-endian systems are explicitly supported.
     14 </p><p>
     15 There are two general categories of work: porting to a Linux system
     16 with a previously unseen CPU architecture, and porting to a different
     17 operating system.  This document covers the former.
     18 </p><p>
     19 Basic familiarity with the Android platform, source code structure, and
     20 build system is assumed.
     21 </p>
     22 
     23 
     24 <h2>Core Libraries</h2>
     25 
     26 <p>
     27 The native code in the core libraries (chiefly <code>libcore</code>,
     28 but also <code>dalvik/vm/native</code>) is written in C/C++ and is expected
     29 to work without modification in a Linux environment.
     30 </p><p>
     31 The core libraries pull in code from many other projects, including
     32 OpenSSL, zlib, and ICU.  These will also need to be ported before the VM
     33 can be used.
     34 </p>
     35 
     36 
     37 <h2>JNI Call Bridge</h2>
     38 
     39 <p>
     40 Most of the Dalvik VM runtime is written in portable C.  The one
     41 non-portable component of the runtime is the JNI call bridge.  Simply put,
     42 this converts an array of integers into function arguments of various
     43 types, and calls a function.  This must be done according to the C calling
     44 conventions for the platform.  The task could be as simple as pushing all
     45 of the arguments onto the stack, or involve complex rules for register
     46 assignment and stack alignment.
     47 </p><p>
     48 To ease porting to new platforms, the <a href="http://sourceware.org/libffi/">
     49 open-source FFI library</a> (Foreign Function Interface) is used when a
     50 custom bridge is unavailable.  FFI is not as fast as a native implementation,
     51 and the optional performance improvements it does offer are not used, so
     52 writing a replacement is a good first step.
     53 </p><p>
     54 The code lives in <code>dalvik/vm/arch/*</code>, with the FFI-based version
     55 in the "generic" directory.  There are two source files for each architecture.
     56 One defines the call bridge itself:
     57 </p><p><blockquote>
     58 <code>void dvmPlatformInvoke(void* pEnv, ClassObject* clazz, int argInfo,
     59 int argc, const u4* argv, const char* signature, void* func,
     60 JValue* pReturn)</code>
     61 </blockquote></p><p>
     62 This will invoke a C/C++ function declared:
     63 </p><p><blockquote>
     64     <code>return_type func(JNIEnv* pEnv, Object* this [, <i>args</i>])<br></code>
     65 </blockquote>or (for a "static" method):<blockquote>
     66     <code>return_type func(JNIEnv* pEnv, ClassObject* clazz [, <i>args</i>])</code>
     67 </blockquote></p><p>
     68 The role of <code>dvmPlatformInvoke</code> is to convert the values in
     69 <code>argv</code> into C-style calling conventions, call the method, and
     70 then place the return type into <code>pReturn</code> (a union that holds
     71 all of the basic JNI types).  The code may use the method signature
     72 (a DEX "shorty" signature, with one character for the return type and one
     73 per argument) to determine how to handle the values.
     74 </p><p>
     75 The other source file involved here defines a 32-bit "hint".  The hint
     76 is computed when the method's class is loaded, and passed in as the
     77 "argInfo" argument.  The hint can be used to avoid scanning the ASCII
     78 method signature for things like the return value, total argument size,
     79 or inter-argument 64-bit alignment restrictions.
     80 
     81 
     82 <h2>Interpreter</h2>
     83 
     84 <p>
     85 The Dalvik runtime includes two interpreters, labeled "portable" and "fast".
     86 The portable interpreter is largely contained within a single C function,
     87 and should compile on any system that supports gcc.  (If you don't have gcc,
     88 you may need to disable the "threaded" execution model, which relies on
     89 gcc's "goto table" implementation; look for the THREADED_INTERP define.)
     90 </p><p>
     91 The fast interpreter uses hand-coded assembly fragments.  If none are
     92 available for the current architecture, the build system will create an
     93 interpreter out of C "stubs".  The resulting "all stubs" interpreter is
     94 quite a bit slower than the portable interpreter, making "fast" something
     95 of a misnomer.
     96 </p><p>
     97 The fast interpreter is enabled by default.  On platforms without native
     98 support, you may want to switch to the portable interpreter.  This can
     99 be controlled with the <code>dalvik.vm.execution-mode</code> system
    100 property.  For example, if you:
    101 </p><p><blockquote>
    102 <code>adb shell "echo dalvik.vm.execution-mode = int:portable >> /data/local.prop"</code>
    103 </blockquote></p><p>
    104 and reboot, the Android app framework will start the VM with the portable
    105 interpreter enabled.
    106 </p>
    107 
    108 
    109 <h3>Mterp Interpreter Structure</h3>
    110 
    111 <p>
    112 There may be significant performance advantages to rewriting the
    113 interpreter core in assembly language, using architecture-specific
    114 optimizations.  In Dalvik this can be done one instruction at a time.
    115 </p><p>
    116 The simplest way to implement an interpreter is to have a large "switch"
    117 statement.  After each instruction is handled, the interpreter returns to
    118 the top of the loop, fetches the next instruction, and jumps to the
    119 appropriate label.
    120 </p><p>
    121 An improvement on this is called "threaded" execution.  The instruction
    122 fetch and dispatch are included at the end of every instruction handler.
    123 This makes the interpreter a little larger overall, but you get to avoid
    124 the (potentially expensive) branch back to the top of the switch statement.
    125 </p><p>
    126 Dalvik mterp goes one step further, using a computed goto instead of a goto
    127 table.  Instead of looking up the address in a table, which requires an
    128 extra memory fetch on every instruction, mterp multiplies the opcode number
    129 by a fixed value.  By default, each handler is allowed 64 bytes of space.
    130 </p><p>
    131 Not all handlers fit in 64 bytes.  Those that don't can have subroutines
    132 or simply continue on to additional code outside the basic space.  Some of
    133 this is handled automatically by Dalvik, but there's no portable way to detect
    134 overflow of a 64-byte handler until the VM starts executing.
    135 </p><p>
    136 The choice of 64 bytes is somewhat arbitrary, but has worked out well for
    137 ARM and x86.
    138 </p><p>
    139 In the course of development it's useful to have C and assembly
    140 implementations of each handler, and be able to flip back and forth
    141 between them when hunting problems down.  In mterp this is relatively
    142 straightforward.  You can always see the files being fed to the compiler
    143 and assembler for your platform by looking in the
    144 <code>dalvik/vm/mterp/out</code> directory.
    145 </p><p>
    146 The interpreter sources live in <code>dalvik/vm/mterp</code>.  If you
    147 haven't yet, you should read <code>dalvik/vm/mterp/README.txt</code> now.
    148 </p>
    149 
    150 
    151 <h3>Getting Started With Mterp</h3>
    152 
    153 </p><p>
    154 Getting started:
    155 <ol>
    156 <li>Decide on the name of your architecture.  For the sake of discussion,
    157 let's call it <code>myarch</code>.
    158 <li>Make a copy of <code>dalvik/vm/mterp/config-allstubs</code> to
    159 <code>dalvik/vm/mterp/config-myarch</code>.
    160 <li>Create a <code>dalvik/vm/mterp/myarch</code> directory to hold your
    161 source files.
    162 <li>Add <code>myarch</code> to the list in
    163 <code>dalvik/vm/mterp/rebuild.sh</code>.
    164 <li>Make sure <code>dalvik/vm/Android.mk</code> will find the files for
    165 your architecture.  If <code>$(TARGET_ARCH)</code> is configured this
    166 will happen automatically.
    167 <li>Disable the Dalvik JIT.  You can do this in the general device
    168 configuration, or by editing the initialization of WITH_JIT in
    169 <code>dalvik/vm/Dvm.mk</code> to always be <code>false</code>.
    170 </ol>
    171 </p><p>
    172 You now have the basic framework in place.  Whenever you make a change, you
    173 need to perform two steps: regenerate the mterp output, and build the
    174 core VM library.  (It's two steps because we didn't want the build system
    175 to require Python 2.5.  Which, incidentally, you need to have.)
    176 <ol>
    177 <li>In the <code>dalvik/vm/mterp</code> directory, regenerate the contents
    178 of the files in <code>dalvik/vm/mterp/out</code> by executing
    179 <code>./rebuild.sh</code>.  Note there are two files, one in C and one
    180 in assembly.
    181 <li>In the <code>dalvik</code> directory, regenerate the
    182 <code>libdvm.so</code> library with <code>mm</code>.  You can also use
    183 <code>mmm dalvik/vm</code> from the top of the tree.
    184 </ol>
    185 </p><p>
    186 This will leave you with an updated libdvm.so, which can be pushed out to
    187 a device with <code>adb sync</code> or <code>adb push</code>.  If you're
    188 using the emulator, you need to add <code>make snod</code> (System image,
    189 NO Dependency check) to rebuild the system image file.  You should not
    190 need to do a top-level "make" and rebuild the dependent binaries.
    191 </p><p>
    192 At this point you have an "all stubs" interpreter.  You can see how it
    193 works by examining <code>dalvik/vm/mterp/cstubs/entry.c</code>.  The
    194 code runs in a loop, pulling out the next opcode, and invoking the
    195 handler through a function pointer.  Each handler takes a "glue" argument
    196 that contains all of the useful state.
    197 </p><p>
    198 Your goal is to replace the entry method, exit method, and each individual
    199 instruction with custom implementations.  The first thing you need to do
    200 is create an entry function that calls the handler for the first instruction.
    201 After that, the instructions chain together, so you don't need a loop.
    202 (Look at the ARM or x86 implementation to see how they work.)
    203 </p><p>
    204 Once you have that, you need something to jump to.  You can't branch
    205 directly to the C stub because it's expecting to be called with a "glue"
    206 argument and then return.  We need a C stub "wrapper" that does the
    207 setup and jumps directly to the next handler.  We write this in assembly
    208 and then add it to the config file definition.
    209 </p><p>
    210 To see how this works, create a file called
    211 <code>dalvik/vm/mterp/myarch/stub.S</code> that contains one line:
    212 <pre>
    213 /* stub for ${opcode} */
    214 </pre>
    215 Then, in <code>dalvik/vm/mterp/config-myarch</code>, add this below the
    216 <code>handler-size</code> directive:
    217 <pre>
    218 # source for the instruction table stub
    219 asm-stub myarch/stub.S
    220 </pre>
    221 </p><p>
    222 Regenerate the sources with <code>./rebuild.sh</code>, and take a look
    223 inside <code>dalvik/vm/mterp/out/InterpAsm-myarch.S</code>.  You should
    224 see 256 copies of the stub function in a single large block after the
    225 <code>dvmAsmInstructionStart</code> label.  The <code>stub.S</code>
    226 code will be used anywhere you don't provide an assembly implementation.
    227 </p><p>
    228 Note that each block begins with a <code>.balign 64</code> directive.
    229 This is what pads each handler out to 64 bytes.  Note also that the
    230 <code>${opcode}</code> text changed into an opcode name, which should
    231 be used to call the C implementation (<code>dvmMterp_${opcode}</code>).
    232 </p><p>
    233 The actual contents of <code>stub.S</code> are up to you to define.
    234 See <code>entry.S</code> and <code>stub.S</code> in the <code>armv5te</code>
    235 or <code>x86</code> directories for working examples.
    236 </p><p>
    237 If you're working on a variation of an existing architecture, you may be
    238 able to use most of the existing code and just provide replacements for
    239 a few instructions.  Look at the <code>vm/mterp/config-*</code> files
    240 for examples.
    241 </p>
    242 
    243 
    244 <h3>Replacing Stubs</h3>
    245 
    246 <p>
    247 There are roughly 250 Dalvik opcodes, including some that are inserted by
    248 <a href="dexopt.html">dexopt</a> and aren't described in the
    249 <a href="dalvik-bytecode.html">Dalvik bytecode</a> documentation.  Each
    250 one must perform the appropriate actions, fetch the next opcode, and
    251 branch to the next handler.  The actions performed by the assembly version
    252 must exactly match those performed by the C version (in
    253 <code>dalvik/vm/mterp/c/OP_*</code>).
    254 </p><p>
    255 It is possible to customize the set of "optimized" instructions for your
    256 platform.  This is possible because optimized DEX files are not expected
    257 to work on multiple devices.  Adding, removing, or redefining instructions
    258 is beyond the scope of this document, and for simplicity it's best to stick
    259 with the basic set defined by the portable interpreter.
    260 </p><p>
    261 Once you have written a handler that looks like it should work, add
    262 it to the config file.  For example, suppose we have a working version
    263 of <code>OP_NOP</code>.  For demonstration purposes, fake it for now by
    264 putting this into <code>dalvik/vm/mterp/myarch/OP_NOP.S</code>:
    265 <pre>
    266 /* This is my NOP handler */
    267 </pre>
    268 </p><p>
    269 Then, in the <code>op-start</code> section of <code>config-myarch</code>, add:
    270 <pre>
    271     op OP_NOP myarch
    272 </pre>
    273 </p><p>
    274 This tells the generation script to use the assembly version from the
    275 <code>myarch</code> directory instead of the C version from the <code>c</code>
    276 directory.
    277 </p><p>
    278 Execute <code>./rebuild.sh</code>.  Look at <code>InterpAsm-myarch.S</code>
    279 and <code>InterpC-myarch.c</code> in the <code>out</code> directory.  You
    280 will see that the <code>OP_NOP</code> stub wrapper has been replaced with our
    281 new code in the assembly file, and the C stub implementation is no longer
    282 included.
    283 </p><p>
    284 As you implement instructions, the C version and corresponding stub wrapper
    285 will disappear from the output files.  Eventually you will have a 100%
    286 assembly interpreter.  You may find it saves a little time to examine
    287 the output of your compiler for some of the operations.  The
    288 <a href="porting-proto.c.txt">porting-proto.c</a> sample code can be
    289 helpful here.
    290 </p>
    291 
    292 
    293 <h3>Interpreter Switching</h3>
    294 
    295 <p>
    296 The Dalvik VM actually includes a third interpreter implementation: the debug
    297 interpreter.  This is a variation of the portable interpreter that includes
    298 support for debugging and profiling.
    299 </p><p>
    300 When a debugger attaches, or a profiling feature is enabled, the VM
    301 will switch interpreters at a convenient point.  This is done at the
    302 same time as the GC safe point check: on a backward branch, a method
    303 return, or an exception throw.  Similarly, when the debugger detaches
    304 or profiling is discontinued, execution transfers back to the "fast" or
    305 "portable" interpreter.
    306 </p><p>
    307 Your entry function needs to test the "entryPoint" value in the "glue"
    308 pointer to determine where execution should begin.  Your exit function
    309 will need to return a boolean that indicates whether the interpreter is
    310 exiting (because we reached the "bottom" of a thread stack) or wants to
    311 switch to the other implementation.
    312 </p><p>
    313 See the <code>entry.S</code> file in <code>x86</code> or <code>armv5te</code>
    314 for examples.
    315 </p>
    316 
    317 
    318 <h3>Testing</h3>
    319 
    320 <p>
    321 A number of VM tests can be found in <code>dalvik/tests</code>.  The most
    322 useful during interpreter development is <code>003-omnibus-opcodes</code>,
    323 which tests many different instructions.
    324 </p><p>
    325 The basic invocation is:
    326 <pre>
    327 $ cd dalvik/tests
    328 $ ./run-test 003
    329 </pre>
    330 </p><p>
    331 This will run test 003 on an attached device or emulator.  You can run
    332 the test against your desktop VM by specifying <code>--reference</code>
    333 if you suspect the test may be faulty.  You can also use
    334 <code>--portable</code> and <code>--fast</code> to explictly specify
    335 one Dalvik interpreter or the other.
    336 </p><p>
    337 Some instructions are replaced by <code>dexopt</code>, notably when
    338 "quickening" field accesses and method invocations.  To ensure
    339 that you are testing the basic form of the instruction, add the
    340 <code>--no-optimize</code> option.
    341 </p><p>
    342 There is no in-built instruction tracing mechanism.  If you want
    343 to know for sure that your implementation of an opcode handler
    344 is being used, the easiest approach is to insert a "printf"
    345 call.  For an example, look at <code>common_squeak</code> in
    346 <code>dalvik/vm/mterp/armv5te/footer.S</code>.
    347 </p><p>
    348 At some point you need to ensure that debuggers and profiling work with
    349 your interpreter.  The easiest way to do this is to simply connect a
    350 debugger or toggle profiling.  (A future test suite may include some
    351 tests for this.)
    352 </p>
    353 
    354 
    355 <h2>Other Performance Issues</h2>
    356 
    357 <p>
    358 The <code>System.arraycopy()</code> function is heavily used.  The
    359 implementation relies on the bionic C library to provide a fast,
    360 platform-optimized data copy function for arrays with elements wider
    361 than one byte.  If you're not using bionic, or your platform does not
    362 have an implementation of this method, Dalvik will use correct but
    363 sub-optimal algorithms instead.  For best performance you will want
    364 to provide your own version.
    365 </p><p>
    366 See the comments in <code>dalvik/vm/native/java_lang_System.c</code>
    367 for details.
    368 </p>
    369 
    370 <p>
    371 <address>Copyright &copy; 2009 The Android Open Source Project</address>
    372 
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