frontpage.
newsnewestaskshowjobs

Open Source @Github

fp.

Open in hackernews

Show HN: Brainfuck to RISC-V JIT compiler written in Zig

https://github.com/evelance/brainiac
5•0x000xca0xfe•1y ago
Hi everybody,

this was my project to learn Zig and RISC-V+x86_64 assembly.

Not sure if anybody is actually interested in yet another Brainfuck compiler, so I'll just write up some random things I learned while building it!

- A primitive assembly stitching compiler is 10x faster than the interpreter. Did not expect that.

- The generated x86 code is really bad (e.g. it always uses 6 or 7 byte sized instructions with 32-bit immediates when there are much smaller ones) but it doesn't really matter. Good code generated by GCC and clang for transpiled Brainfuck->C is not much faster as it's bottlenecked by memory accesses anyways.

- Zig is pretty far along actually. You can make serious projects with it!

- But the community seems to like self-punishment. Unused parameters and variables are hard errors and there is no way to disable that even for debug builds. Makes quickly commenting out part of the code a real PITA.

- I've had a miscompilation due to std.mem.span being broken and two source code breaks going from Zig 0.13 to 0.15 (std.mem.page_size got removed and ArrayList.popOrNull as well).

- But arbitrary size integers are fantastic! And well-defined two's complement behaviour!

Here is for example the code that encodes the c.beqz instruction:

  /// Branch if Equal to Zero (compressed): c.beqz rs1', offset -> beq rs1, x0, offset
  pub fn c_beqz(text: *std.ArrayList(u8), rs1: RV_X, offset: i9) !void {
      std.debug.assert(is3BitReg(rs1));
      std.debug.assert(@mod(offset, 2) == 0);
      const imm: u9 = @bitCast(offset);
      const RV_CB = packed struct(u16) {
          op: u2,
          offset5: u1,
          offset1_2: u2,
          offset6_7: u2,
          rsd_rs1_: u3,
          offset3_4: u2,
          offset8: u1,
          funct3: u3,
      };
      const ins = RV_CB {
          .op = 0x1,
          .offset5 = @truncate(imm >> 5),
          .offset1_2 = @truncate(imm >> 1),
          .offset6_7 = @truncate(imm >> 6),
          .rsd_rs1_ = @truncate(@intFromEnum(rs1) - 8),
          .offset3_4 = @truncate(imm >> 3),
          .offset8 = @truncate(imm >> 8),
          .funct3 = 0x6,
      };
      try appendInstruction(text, u16, @bitCast(ins));
  }
This is really nice as all the exotic integer sizes are actually checked, too.

- Zig support for Windows is good. Porting the project to Windows was very easy.

- When the RISC-V registers are carefully chosen, almost all instructions could be compressed in this projects.

- Compressed instructions and good branching code (using the branch instructions directly when the jump range is small enough instead of branching over a larger jump instruction) did not noticeably change performance on real hardware (OrangePi RV2).

- But somehow QEMU got a massive boost from that. Not sure why exactly.

So, that's about it!

I hope at least something was interesting...

Comments

sylware•1y ago
thumbs up for this project (everything RISC-V is usually).

I write rv64 assembly (nearly core only, without memory reservation instructions) and run it on x86_64 with a very small (x86_64 assembly written) interpreter.

And your are right, I have had thoughts about a "RISC-V" x86_64 compiler (but it will probably require some runtime unfortunately).

Hopefully, rv22+ hardware with ultra-performant µ-architecture and with the latest silicon process will happen sooner than we expect. One less PI toxic lock and cleaner, _really standard_ assembly (the end game of much software).

0x000xca0xfe•1y ago
Yeah I can't wait for a performant RISC-V core. Runtime code generation is so easy for RISC-V. I have many ideas or projects where I'd like to use it but it feels kinda pointless when JITed RISC-V machine code on current hardware gets destroyed by any half-decent x86 PC or Mac running naive C code.
sylware•1y ago
Well, here are the tricks: interpreted rv64 assembly will be "slow"... actually "slower" than x86_64 native code... but in many execution contexts, for many pieces of software, here the first trick: the "slow" interpreted rv64 assembly machine code will be... "fast" enough... The 2nd trick: I have control on my rv64 machine interpreter, and I can write native x86_64 acceleration assembly along side of a rv64 reference implementation (I planned to do just that for my CPU renderer in my wayland compositor... actually I have already AVX2 code for some of that, even though the sweet spot is AVX512, but don't have the hardware for this, yet).

And once we have this rv64 shiny hardware, certainly won't be a drop-in, but the distance to code will be minimal.

One important SDK thing: I am careful at using the smallest number of rv64 machine instructions (we tend to forget 'R' in "RISC-V" means 'R'educed...), and I use basic, really basic, C preprocessors instead of the assembler preprocessor in order to decouple the assembly code from a specific assembler preprocessor. I don't even use assembler pseudo-instructions, or ABI register names, neither compressed machine instructions.

On top of that: I don't use ELF, I use a super minimal executable/system interface dynamic shared library format of my own, omega idiotically simple, which I wrap in ELF binaries for transparent support. People have to come to realize, ELF complexity, for a executable/system interface dynamic shared library is utterly and completely obsolete, even a liability once you are looking for binary stability in time (cf games), proven over more than the last decade.

Major Updates to Cloudflare Observability

https://blog.cloudflare.com/one-observability-platform/
1•thatslast•2m ago•0 comments

Latency, energy and memory of π0.5, GR00T, SmolVLA and more on Jetson boards)

https://ixian.zetic.ai/models/compare
2•kimys1324•3m ago•0 comments

Samenland – Plant a Seed. Watch It Grow

https://samenland.app/#
1•doener•5m ago•0 comments

More Math, Less Ego – Erik Demaine [video]

https://www.youtube.com/watch?v=Gdc1yll04qI
2•nill0•5m ago•0 comments

Remembering a Rare Thaw in the Cold War

https://maritime-executive.com/editorials/operation-breakthrough-remembering-a-rare-thaw-in-the-c...
1•gone35•5m ago•0 comments

Ask HN: Nepal Government wants Google Play Merchant access for its Developers

1•njsubedi•6m ago•0 comments

How is life at different levels of GDP per capita?

https://ourworldindata.org/data-insights/how-is-life-at-different-levels-of-gdp-per-capita
1•alphabetatango•9m ago•0 comments

Electronic fibers weave touchscreen into sleeve that survives machine washing

https://www.designboom.com/technology/electronic-fibers-touchscreen-sleeve-machine-washing-nation...
2•thunderbong•11m ago•0 comments

N-gram hinted language modeling: NanoGPT Speedrun in 6.7s

https://brunborg.com/n-gram-hinted-lm
1•simonpure•11m ago•0 comments

Historic records of exports Russian petrolium products including AGIOI FANENDES

https://www.blackseanews.net/en/read/223706
2•paaloeye•11m ago•0 comments

BlueChip

https://www.anduril.com/bluechip
1•bookofjoe•13m ago•1 comments

Natural Emergent Misalignment from Reward Hacking in Production RL [pdf]

https://www-cdn.anthropic.com/daad4360a8bdc707f8b22e3e745796ba27e57fb3.pdf
1•espeed•15m ago•0 comments

Opera adds local AI to its browsers

https://press.opera.com/2026/10/27/opera-doubles-down-on-local-ai-shipping-models-directly-in-its...
1•simonpure•21m ago•1 comments

Princeton to provide ChatGPT accounts for all students, faculty, staff

https://www.dailyprincetonian.com/article/2026/10/princeton-news-breaking-adpol-princeton-to-prov...
1•seam_carver•22m ago•0 comments

World Models explained in 7 mins

https://www.youtube.com/watch?v=d79HOo1fUhc
1•lroe•24m ago•0 comments

Oldest customer complaint in recorded history

https://en.wikipedia.org/wiki/Complaint_tablet_to_Ea-n%C4%81%E1%B9%A3ir
2•jameslk•25m ago•0 comments

Git for All Global Law

https://github.com/lexifina/global-law
1•alansaber•27m ago•1 comments

OpenAMRobot

https://github.com/openAMRobot
1•gmays•30m ago•0 comments

Microsoft Azure revenue surges 48% to $33.2B, beating expectations

https://www.geekwire.com/2026/microsoft-azure-revenue-surges-48-to-33-2b-beating-expectations-as-...
1•RoadieRoller•39m ago•0 comments

GPU or PSU coil whine: a test log and 47 owner reports across 44 models

https://techfuelhq.com/articles/gpu-or-psu-coil-whine/
1•LKWOODIV•43m ago•0 comments

Congo's Ebola outbreak tops 10k cases as authorities race to slow the spread

https://www.nbcnews.com/world/africa/congos-ebola-outbreak-tops-10000-cases-authorities-race-slow...
3•gmays•45m ago•0 comments

I made a web app for navigating the Bible

https://theamazingword.org/
1•_enjoi•45m ago•1 comments

Local Inference with Large Language Models

https://jacquesmattheij.com/local-inference-with-large-language-models/
1•jacquesm•45m ago•1 comments

Show HN: Linesofrelief] – Opinionated contour map in Rose Pine

https://linesofrelief.ink/
1•cjododev•46m ago•0 comments

Apple's New Touchscreen MacBook Pro Costs Up to $14,549

https://www.macrumors.com/2026/10/28/new-macbook-pro-maxed-out-cost/
6•sumnole•47m ago•0 comments

Rian Johnson has released an iOS camera app

https://twitter.com/rianjohnson/status/2115436064458621189
1•brzz•48m ago•1 comments

Caching, Bot Defense and a CDN

https://www.coryd.dev/posts/2026/caching-bot-defense-and-a-cdn
1•cdrnsf•52m ago•0 comments

Testing Silicon Photonics at Scale

https://www.semi.org/en/blogs/testing-silicon-photonics-at-scale
1•gmays•54m ago•0 comments

The Accessible Components Library

https://tetralogical.com/blog/2026/10/14/accessible-components-library/
1•birdculture•55m ago•0 comments

Syl: Compile-Time Dependent Types

https://thenumb.at/Syl-Intro/
1•surprisetalk•1h ago•0 comments