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首页优化Python解释器性能:从Falcon到高效执行
"《如何提升解释型Python的执行速度:NYU研究(2013)》是一篇发表在arXiv上的计算机科学论文,作者是Russell Power和Alex Rubinsteyn,他们代表纽约大学。论文标题直指问题核心:Python作为一种流行的动态语言,其强大之处在于丰富的库和扩展模块,如Django用于Web开发,NumPy支持数值分析,这些使得Python成为众多任务的高效工作环境。然而,相比于现代的诸如Lua和JavaScript这类语言,Python的性能却相对较低。 该研究旨在探究Python性能落后的根源,指出正是那些使其功能强大的标准API和扩展库,同时也成为了效率提升的挑战。作者们质疑,为了保留对现有Python库的广泛使用,如何能在保持兼容性的同时提升其执行速度。为了解决这个问题,他们设计并实现了一个名为Falcon的高性能字节码解释器,它完全兼容标准的CPython解释器。 Falcon采用了多种已知优化技术,并引入了新的方法来提升Python的执行效率。这些技术可能包括但不限于编译优化、运行时代码优化、内存管理优化以及针对特定任务定制的算法改进。通过Falcon,作者们试图探索在保持Python语言特性的同时,如何实现性能上的飞跃,这对于理解动态语言的性能瓶颈以及如何在设计优化策略上具有重要意义。 该论文不仅关注理论分析,还提供了实际的工程实践,为Python社区提供了关于如何在不牺牲功能性的情况下提高性能的启示。对于那些关心Python性能优化的开发者和研究人员来说,这篇论文是一个有价值的参考,因为它探讨了语言设计与性能之间微妙的平衡,以及如何在这个平衡中寻求突破。"
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LO A D_G LOB A L ( su m )
BU I LD_ LIS T
LO A D_F AST (x )
GET_ITER
10: FOR_ITER ( to 3 1 )
ST O RE_ FAS T ( xi )
LO A D_F AST ( xi )
LO A D_F AST (t )
CO M PAR E_O P ( <)
LI S T_A PPE N D
JU M P_A BSO L UTE 10
31: C A LL_ FUN C TIO N
RE T URN _VA L UE
Figure 4. Python stack machine bytecode
Handling control flow
For straight-line code this process is fairly easy; most Python
instructions have a fairly straightforward effect on the stack.
But what happens when we encounter a branch? We need
to properly simulate both execution paths. To handle this
situation, we must make a copy of our virtual stack, and
evaluate both sides of the branch.
With branches come merge points; places where two or
more branches of execution come together. Each thread of
control flow might have assigned different register names to
each stack position. To handle this situation Falcon inserts
rename instructions before merge points, ensuring that all
incoming register stacks are compatible with each other.
(This is the same mechanism employed by compilers which
use static single assignment form (SSA)[11] to resolve φ-
nodes.)
Example conversion
Let’s walk through how this works for the example stack
code above (figure 4).
First we find the value of the function “sum” using the
LOAD_GLOBAL instruction. In the CPython interpreter, LOAD_GLOBAL
looks up a particular name in the dictionary of global values
and pushes that value onto the stack. Since the set of literal
names used in a function is known at compile time, the in-
struction can simply reference the index of the string “sum”
in a table of constant names. The equivalent register machine
instruction assigns the global value to a fresh register (in this
case r4). For brevity, the “stack” column in the listings below
will show just the register number for each instruction.
Python Falcon Stack
LOAD_GLOBAL 0 r4 = LOAD_GLOBAL 0 hi → h4i
The effect of this operation on the virtual stack is to
push the register r4 on top. When a later operation consumes
inputs off the stack, it will be correctly wired to use r4 as an
argument.
BUILD_LIST constructs an empty list to contain the results.
We create a new register r5 and push it onto the stack.
Python has special operations to load and store local
variables and to load constants. Rather then implement these
Python Falcon Stack
BUILD_LIST 0 r5 = BUILD_LIST 0 h4i → h5, 4i
instructions directly, we can alias these variables to specially
designated register names, which simplifies our code and
reduces the number of instructions needed.
Python Falcon Stack
LOAD_FAST 0 (x) h5, 4i → h1, 5, 4i
Register r1 is aliased to the local variable x. Therefore
for the LOAD_FAST operation here, we don’t need to generate a
Falcon instruction, and can instead simply push r1 onto our
virtual stack.
GET_ITER pops a sequence off of the stack and pushes back
an iterator for the sequence.
Python Falcon Stack
GET_ITER r6 = GET_ITER(r1) h1, 5, 4i → h6, 5, 4i
FOR_ITER is a branch instruction. It either pushes the next
element in the iterator onto the stack and falls-through to the
next instruction, or pops the iterator off the stack and jumps
to the other side of the loop.
Python Falcon Stack
FOR_ITER r7 = FOR_ITER(r6) h6, 5, 4i → h7, 6, 5, 4i
or h5, 4i
One branch of the FOR_ITER instruction takes us into inner
loop, which continues until the iterator is exhausted:
Python Falcon Stack
STORE_FAST (xi) r3 = r7 h7, 6, 5, 4i → h6, 5, 4i
LOAD_FAST (xi) h6, 5, 4i → h3, 6, 5, 4i
LOAD_FAST (t) h3, 6, 5, 4i → h2, 3, 6, 5, 4i
COMPARE_OP r8 = r3 > r2 h2, 3, 6, 5, 4i → h8, 6, 5, 4i
LIST_APPEND APPEND(r5, r8) h8, 6, 5, 4i → h6, 5, 4i
JUMP_ABSOLUTE JUMP_ABSOLUTE h6, 5, 4i
The behavior of the LIST_APPEND instruction here might
look somewhat surprising; it appears to “peek into” the stack
to find r5. This special behavior is unique to the LIST_APPEND
instruction, and likely is a result of past performance tuning
in the CPython interpreter (building lists is a very common
operation in Python).
And the other branch takes us to our function’s epilogue:
Python Falcon Stack
CALL_FUNCTION (sum) r9 = sum(r4) h5, 4i → h6i
RETURN_VALUE RETURN_VALUE(r9) h6i → hi
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