Back to Home11/18/2025, 7:27:18 AM

Template Interpreters

1 points
1 comments

Mood

thoughtful

Sentiment

neutral

Category

tech

Key topics

interpreter design

bytecode execution

compiler optimization

Debate intensity20/100

The post discusses template interpreters used in V8 and HotSpot, which generate machine code from bytecode op handlers, sparking a discussion on its comparison to other techniques with lower engineering costs.

Snapshot generated from the HN discussion

Discussion Activity

Light discussion

First comment

N/A

Peak period

1

Hour 1

Avg / period

1

Comment distribution1 data points

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Key moments

  1. 01Story posted

    11/18/2025, 7:27:18 AM

    14h ago

    Step 01
  2. 02First comment

    11/18/2025, 7:27:18 AM

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    Step 02
  3. 03Peak activity

    1 comments in Hour 1

    Hottest window of the conversation

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  4. 04Latest activity

    11/18/2025, 7:27:18 AM

    14h ago

    Step 04

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Discussion (1 comments)
Showing 1 comments
zackoverflow
14h ago
I recently came across this style of interpreter which V8 and HotSpot use. It works by actually writing the bytecode op handlers in assembly (or some other low-level language) and generating them to machine code, and having a dispatch table mapping bytecode_opcode -> machine code to execute it

I was pretty intrigued. How does it compare to techniques which require way less engineering cost like switch+loop, direct-threaded, and only using tail-calls (https://blog.reverberate.org/2021/04/21/musttail-efficient-i...)?

The main reason seemed to be that both V8 and HotSpot have an optimizing JIT compiler, and having low-level control over the machine code of the interpreter means it can be designed to efficiently hop in and out of JIT'ed code (aka on-stack replacement). For example, V8's template interpreter intentionally shares the same ABI as it's JIT'ed code, meaning hopping into JIT'ed code is a single jmp instruction.

Anyway, I go into more implementation details and I also built a template interpreter based on HotSpot's design and benchmarked it against other techniques.

ID: 45962335Type: storyLast synced: 11/18/2025, 7:29:40 AM

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