While it is in the given example, i.e. for integer addition, to claim that they are equivalent is a bit misleading: builtins.add is less overloaded than +, i.e. builtins.add "foo" "bar" will fail whereas "foo" + "bar" performs string concatenation. Change-Id: Ib52d530d1ab289b367565b286f06a76dd518d4fb Reviewed-on: https://cl.tvl.fyi/c/depot/+/7929 Autosubmit: sterni <sternenseemann@systemli.org> Reviewed-by: flokli <flokli@flokli.de> Tested-by: BuildkiteCI
6 KiB
Known Optimisation Potential
There are several areas of the Tvix evaluator code base where potentially large performance gains can be achieved through optimisations that we are already aware of.
The shape of most optimisations is that of moving more work into the compiler to simplify the runtime execution of Nix code. This leads, in some cases, to drastically higher complexity in both the compiler itself and in invariants that need to be guaranteed between the runtime and the compiler.
For this reason, and because we lack the infrastructure to adequately track their impact (WIP), we have not yet implemented these optimisations, but note the most important ones here.
-
Use "open upvalues" [hard]
Right now, Tvix will immediately close over all upvalues that are created and clone them into the
Closure::upvalues
array.Instead of doing this, we can statically determine most locals that are closed over and escape their scope (similar to how the
compiler::scope::Scope
struct currently tracks whether locals are used at all).If we implement the machinery to track this, we can implement some upvalues at runtime by simply sticking stack indices in the upvalue array and only copy the values where we know that they escape.
-
Avoid
with
value duplication [easy]If a
with
makes use of a local identifier in a scope that can not close before the with (e.g. not acrossLambdaCtx
boundaries), we can avoid the allocation of the phantom value and duplication of theNixAttrs
value on the stack. In this case we simply push the stack index of the known local. -
Multiple attribute selection [medium]
An instruction could be introduced that avoids repeatedly pushing an attribute set to/from the stack if multiple keys are being selected from it. This occurs, for example, when inheriting from an attribute set or when binding function formals.
-
Split closure/function representation [easy]
Functions have fewer fields that need to be populated at runtime and can directly use the
value::function::Lambda
representation where possible. -
Optimise inner builtin access [medium]
When accessing identifiers like
builtins.foo
, the compiler should not go through the trouble of setting up the attribute set on the stack and accessingfoo
from it if it knows that the scope forbuiltins
is unshadowed. The same optimisation can also be done for the other set operations likebuiltins ? foo
andbuiltins.foo or alternative-implementation
.The same thing goes for resolving
with builtins;
, which should definitely resolve statically. -
Inline fully applied builtins with equivalent operators [medium]
Some
builtins
have equivalent operators, e.g.builtins.sub
corresponds to the-
operator,builtins.hasAttr
to the?
operator etc. These operators additionally compile to a primitive VM opcode, so they should be just as cheap (if not cheaper) as a builtin application.In case the compiler encounters a fully applied builtin (i.e. no currying is occurring) and the
builtins
global is unshadowed, it could compile the equivalent operator bytecode instead: For example,builtins.sub 20 22
would be compiled as20 - 22
. This would ensure that equivalentbuiltins
can also benefit from special optimisations we may implement for certain operators (in the absence of currying). E.g. we could optimise access to thebuiltins
attribute set which a call tobuiltins.getAttr "foo" builtins
should also profit from. -
Avoid nested
VM::run
calls [hard]Currently when encountering Nix-native callables (thunks, closures) the VM's run loop will nest and return the value of the nested call frame one level up. This makes the Rust call stack almost mirror the Nix call stack, which is usually undesirable.
It is possible to detect situations where this is avoidable and instead set up the VM in such a way that it continues and produces the desired result in the same run loop, but this is kind of tricky to get right - especially while other parts are still in flux.
For details consult the commit with Gerrit change ID
I96828ab6a628136e0bac1bf03555faa4e6b74ece
, in which the initial attempt at doing this was reverted. -
Avoid thunks if only identifier closing is required [medium]
Some constructs, like
with
, mostly do not change runtime behaviour if thunked. However, they are wrapped in thunks to ensure that deferred identifiers are resolved correctly.This can be avoided, as we statically analyse the scope and should be able to tell whether any such logic was required.
-
Intern literals [easy]
Currently, the compiler emits a separate entry in the constant table for each literal. So the program
1 + 1 + 1
will have three entries in itsChunk::constants
instead of only one. -
Do some list and attribute set operations in place [hard]
Algorithms that can not do a lot of work inside
builtins
likemap
,filter
orfoldl'
usually perform terribly if they use data structures like lists and attribute sets.builtins
can do work in place on a copy of aValue
, but naïvely expressed recursive algorithms will usually use//
and++
to do a single change to aValue
at a time, requiring a full copy of the data structure each time. It would be a big improvement if we could do some of these operations in place without requiring a new copy.There are probably two approaches: We could determine statically if a value is reachable from elsewhere and emit a special in place instruction if not. An easier alternative is probably to rely on reference counting at runtime: If no other reference to a value exists, we can extend the list or update the attribute set in place.
An alternative to this is using persistent data structures or at the very least immutable data structures that can be copied more efficiently than the stock structures we are using at the moment.