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RISC-V Vector Primer

https://github.com/simplex-micro/riscv-vector-primer/blob/main/index.md
2•oxxoxoxooo•3m ago•0 comments

Show HN: Invoxo – Invoicing with automatic EU VAT for cross-border services

2•InvoxoEU•4m ago•0 comments

A Tale of Two Standards, POSIX and Win32 (2005)

https://www.samba.org/samba/news/articles/low_point/tale_two_stds_os2.html
2•goranmoomin•8m ago•0 comments

Ask HN: Is the Downfall of SaaS Started?

3•throwaw12•9m ago•0 comments

Flirt: The Native Backend

https://blog.buenzli.dev/flirt-native-backend/
2•senekor•10m ago•0 comments

OpenAI's Latest Platform Targets Enterprise Customers

https://aibusiness.com/agentic-ai/openai-s-latest-platform-targets-enterprise-customers
1•myk-e•13m ago•0 comments

Goldman Sachs taps Anthropic's Claude to automate accounting, compliance roles

https://www.cnbc.com/2026/02/06/anthropic-goldman-sachs-ai-model-accounting.html
2•myk-e•16m ago•3 comments

Ai.com bought by Crypto.com founder for $70M in biggest-ever website name deal

https://www.ft.com/content/83488628-8dfd-4060-a7b0-71b1bb012785
1•1vuio0pswjnm7•16m ago•1 comments

Big Tech's AI Push Is Costing More Than the Moon Landing

https://www.wsj.com/tech/ai/ai-spending-tech-companies-compared-02b90046
2•1vuio0pswjnm7•18m ago•0 comments

The AI boom is causing shortages everywhere else

https://www.washingtonpost.com/technology/2026/02/07/ai-spending-economy-shortages/
1•1vuio0pswjnm7•20m ago•0 comments

Suno, AI Music, and the Bad Future [video]

https://www.youtube.com/watch?v=U8dcFhF0Dlk
1•askl•22m ago•1 comments

Ask HN: How are researchers using AlphaFold in 2026?

1•jocho12•25m ago•0 comments

Running the "Reflections on Trusting Trust" Compiler

https://spawn-queue.acm.org/doi/10.1145/3786614
1•devooops•30m ago•0 comments

Watermark API – $0.01/image, 10x cheaper than Cloudinary

https://api-production-caa8.up.railway.app/docs
1•lembergs•32m ago•1 comments

Now send your marketing campaigns directly from ChatGPT

https://www.mail-o-mail.com/
1•avallark•35m ago•1 comments

Queueing Theory v2: DORA metrics, queue-of-queues, chi-alpha-beta-sigma notation

https://github.com/joelparkerhenderson/queueing-theory
1•jph•47m ago•0 comments

Show HN: Hibana – choreography-first protocol safety for Rust

https://hibanaworks.dev/
5•o8vm•49m ago•1 comments

Haniri: A live autonomous world where AI agents survive or collapse

https://www.haniri.com
1•donangrey•49m ago•1 comments

GPT-5.3-Codex System Card [pdf]

https://cdn.openai.com/pdf/23eca107-a9b1-4d2c-b156-7deb4fbc697c/GPT-5-3-Codex-System-Card-02.pdf
1•tosh•1h ago•0 comments

Atlas: Manage your database schema as code

https://github.com/ariga/atlas
1•quectophoton•1h ago•0 comments

Geist Pixel

https://vercel.com/blog/introducing-geist-pixel
2•helloplanets•1h ago•0 comments

Show HN: MCP to get latest dependency package and tool versions

https://github.com/MShekow/package-version-check-mcp
1•mshekow•1h ago•0 comments

The better you get at something, the harder it becomes to do

https://seekingtrust.substack.com/p/improving-at-writing-made-me-almost
2•FinnLobsien•1h ago•0 comments

Show HN: WP Float – Archive WordPress blogs to free static hosting

https://wpfloat.netlify.app/
1•zizoulegrande•1h ago•0 comments

Show HN: I Hacked My Family's Meal Planning with an App

https://mealjar.app
1•melvinzammit•1h ago•0 comments

Sony BMG copy protection rootkit scandal

https://en.wikipedia.org/wiki/Sony_BMG_copy_protection_rootkit_scandal
2•basilikum•1h ago•0 comments

The Future of Systems

https://novlabs.ai/mission/
2•tekbog•1h ago•1 comments

NASA now allowing astronauts to bring their smartphones on space missions

https://twitter.com/NASAAdmin/status/2019259382962307393
2•gbugniot•1h ago•0 comments

Claude Code Is the Inflection Point

https://newsletter.semianalysis.com/p/claude-code-is-the-inflection-point
4•throwaw12•1h ago•3 comments

Show HN: MicroClaw – Agentic AI Assistant for Telegram, Built in Rust

https://github.com/microclaw/microclaw
1•everettjf•1h ago•2 comments
Open in hackernews

An optimizing compiler doesn't help much with long instruction dependencies

https://johnnysswlab.com/an-optimizing-compiler-doesnt-help-much-with-long-instruction-dependencies/
35•ingve•8mo ago

Comments

solarexplorer•8mo ago
This is not a good article and the content doesn't support the claim in the title. It talks about memory latency and how it negatively affects instruction level parallelism, but doesn't offer any solution or advice, except for offering their own (payed) service...
adrian_b•8mo ago
Memory latency only matters in chains of dependent instructions.

Otherwise the performance is limited by the memory transfer throughput, not by the latency of individual memory accesses.

The article demonstrates the difference between these 2 cases, even if its title could have been better.

Because the latency of memory loads is many times greater than the latency of any other kind of CPU instructions, both for loads from the main memory and for loads from the L3 cache memory, this effect is more visible in programs with many memory loads, like the examples from the article, than in programs using other instructions with long latencies.

jjtheblunt•8mo ago
Aren't you overlooking memory latency mattering in mmap (MMU) page miss contexts?
adrian_b•8mo ago
A page miss in the TLB cache memory that happens for a memory load is just a memory load that happens to have a latency many times greater than its normal latency, which is already very big.

The same as for normal memory loads, the effect of a page miss will vary depending on whether the memory load is part of a long dependency chain, so the CPU will not be able to find other instructions to execute concurrently while the dependency chain is stalled by waiting for the load result, or the memory load has only few instructions depending on it, so the CPU will go ahead executing other parts of the program.

Page misses in the TLB do not cause any new behavior, but the very long latencies corresponding to them exacerbate the effects of long dependency chains. With page misses, even a relatively short dependency chain may not allow the CPU to find enough independent instructions to be executed in order to avoid an execution stall.

With certain operating systems that choose to load lazily memory pages from a SSD/HDD or which choose to implement a virtual memory capacity greater than the physical memory capacity, there is a different kind of page miss, a miss from the memory currently mapped as valid by the OS, which results in an exception handled by the operating system, while the executing program is suspended. There are also mostly obsolete CPUs where a TLB page miss causes an exception, instead of being handled by dedicated hardware. In these cases, to which I assume that you refer by mentioning mmap, it does not matter whether the exception-causing instruction was part of a long dependency chain or not, the slowing-down of the program by exception handling is the same.

dahart•8mo ago
Even though the example is contrived, and hopefully not too many people are doing massive reductions using a linked list of random pointers, it would still be nice to offer some suggestion on what alternatives there are. Maybe it’s faster to collect all the pointers into an array and use the first loop? If ‘list’ entries are consecutive in memory, you can ignore the list order and consume them in memory order. Collecting and sorting the pointers might improve the cache hit rates, especially if the values are dense in memory. For anything performance sensitive, avoiding linked lists, especially non-intrusive linked lists, is often a good idea, right?

What’s with the “if (idx == NULLPTR)” block? The loop won’t access an entry outside the list, so this appears to be adding unnecessary instructions and unnecessary divergence. (And maybe even unnecessary dependencies?) Does demonstrating the performance problem depend on having this code in the loop? I hope not, but I’m very curious why it’s there.

A couple of other tiny nits - the first 2 graphs should have a Y axis that starts at zero! That won’t compromise these in any way. There should be a very compelling reason not to show ratios on a graph that start from zero, and these don’t have any such reason. And I’m curious why the X axis is factors of 8 except the last two, which seem strangely arbitrary?

MatthiasWandel•8mo ago
The bottleneck with the pointer table may be the summation. While the fetches of elements can be parallelized, the summation can not, as the addition depends on the result of the previous addition being available.

Some experiments I have done with something that does summation showed a considerable speedup by summing odd and even values into separate bins. Although this applies only to doing something not too closely resembling signal processing algorithms, as the compiler can otherwise optimize out for that.

Part of my video titled "new computers don't speed up old code"