Hacker News with Generative AI: Performance Optimization

PyGraph: Robust Compiler Support for CUDA Graphs in PyTorch (arxiv.org)
CUDA Graphs -- a recent hardware feature introduced for NVIDIA GPUs -- aim to reduce CPU launch overhead by capturing and launching a series of GPU tasks (kernels) as a DAG. However, deploying CUDA Graphs faces several challenges today due to the static structure of a graph. It also incurs performance overhead due to data copy. In fact, we show a counter-intuitive result -- deploying CUDA Graphs hurts performance in many cases.
CUDA, PyTorch, Performance Optimization, GPU Programming, Deep Learning
81 points by mfiguiere 2 days ago | 8 comments
Hyperscaling Have I Been Pwned with Cloudflare Workers and Caching (troyhunt.com)
I've spent more than a decade now writing about how to make Have I Been Pwned (HIBP) fast. Really fast. Fast to the extent that sometimes, it was even too fast:
Security, Performance Optimization, Cloud Computing, Web Development
53 points by todsacerdoti 3 days ago | 66 comments
Building a Fast, SIMD/GPU-Friendly Random Number Generator for Fun and Profit (vectrx.substack.com)
When writing shaders, SIMD code, or GPU kernels, one typically doesn’t need a cryptographically secure random number generator — something fast and statistically decent is often good enough.
Computer Graphics, Performance Optimization
10 points by klaussilveira 4 days ago | 2 comments
Coding Neon Kernels for the Cortex-A53 (destevez.net)
Some weeks ago, I presented at FOSDEM my work-in-progress high performance SDR runtime qsdr. I showed a hand-written NEON assembly implementation of a kernel that computes \(y[n] = ax[n] + b\), which I used as the basic math block for benchmarks on a Kria KV260 board (which has a quad-core ARM Cortex-A53 at 1.33 GHz). In that talk I glossed over the details of how I implemented this NEON kernel.
Software, ARM, Performance Optimization, Signal Processing
23 points by yeko 5 days ago | 10 comments
Achieveing lower latencies with S3 object storage (spiraldb.com)
Over the past 19 years (S3 was launched on March 14th 2006, as the first public AWS service), object storage has become the gold standard for storing large amounts of data in the cloud. It's reliable, reasonably cheap, reasonably fast, and requires no special incantations to deploy. Best of all, it offers a straightforward HTTP-based interface with clear semantics (see NFS horrors).
Cloud Computing, Storage, Performance Optimization
31 points by znpy 7 days ago | 23 comments
Show HN: K(r)ep - A high-performance string search utility (github.com/davidesantangelo)
String Search, Performance Optimization, Open Source, Software
21 points by daviducolo 10 days ago | 14 comments
Raw Loops for Performance? (sandordargo.com)
To my greatest satisfaction, I’ve recently joined a new project. I started to read through the codebase before joining and at that stage, whenever I saw a possibility for a minor improvement, I raised a tiny pull request. One of my pet peeves is rooted in Sean Parent’s 2013 talk at GoingNative, Seasoning C++ where he advocated for no raw loops.
Programming, Performance Optimization, Software Development, C++
26 points by ingve 10 days ago | 18 comments
New Apache Cassandra Release Saves 400% IOPS (simplyblock.io)
On April 10, 2025, the Apache Software Foundation released version 5.0.4 of Apache Cassandra, bringing significant performance optimizations for all users—but especially for those relying on remotely attached storage like Amazon EBS. The standout feature in this release is an overhaul of the compaction algorithm aimed at slashing IOPS usage while increasing overall throughput.
Database, Apache Cassandra, Performance Optimization, Storage
5 points by noctarius 13 days ago | 0 comments
Battle of the Mallocators (blogspot.com)
If you use RocksDB and want to avoid OOM then use jemalloc or tcmalloc and avoid glibc malloc. That was true in 2015 and remains true in 2025 (see here).
Memory Management, Performance Optimization, Software Development, C/C++
27 points by qianli_cs 13 days ago | 11 comments
Vertical Sharding Sucks (pgdog.dev)
Vertical sharding, sometimes called functional sharding, takes tables out of your main database and puts them somewhere else. Most of the time, it’s another Postgres database. This reduces load on the main DB and gives your app some breathing room to grow.
Database Design, Performance Optimization, Scaling, Postgres
20 points by samokhvalov 14 days ago | 13 comments
Container CPU requests and limits explained with GOMAXPROCS tuning (victoriametrics.com)
In this article, we’re going to cover a few things that might’ve puzzled you if you’ve been running your applications, especially Go applications, in Kubernetes:
Containerization, Kubernetes, Go, Performance Optimization, System Administration
5 points by valyala 15 days ago | 1 comments
We Chose Tauri over Electron for Our Performance-Critical Desktop App (gethopp.app)
At Hopp, we're building a cross-platform remote control application designed for a low-latency remote pair programming experience. Providing the best possible user experience is our top priority.
Software Development, Desktop Applications, Remote Control, Performance Optimization
42 points by iparaskev 15 days ago | 22 comments
ClickHouse Denormalization is not the answer to slow JOINs (glassflow.dev)
Reducing query times and optimizing performance are critical goals when working with ClickHouse, a fast, open-source, columnar database.
ClickHouse, Databases, Performance Optimization
18 points by super_ar 17 days ago | 5 comments
EngFlow Makes C++ Builds 21x Faster and Software a Lot Safer (thenewstack.io)
C++, Software Engineering, Performance Optimization, Security
10 points by TheGrizzlyDev 17 days ago | 1 comments
Faster Shuffling in Go with Batching (lemire.me)
Go’s rand.Shuffle is a solid baseline, but batching random integer generation can make it much faster. By generating multiple random numbers from a single 64-bit value, we can boost efficiency—by over 2x in our benchmarks.
Go, Programming, Performance Optimization, Benchmarks
3 points by ingve 19 days ago | 0 comments
Making OCaml Safe for Performance Engineering [video] (youtube.com)
Programming Languages, Performance Optimization, OCaml
13 points by Shoop 21 days ago | 3 comments
Show HN: uWrap.js – A faster and more accurate text wrapping util in < 2KB (github.com/leeoniya)
uWrap exists to efficiently predict varying row heights for list and grid virtualization, a technique for UI performance optimization when rendering large, scrollable datasets.
JavaScript, Performance Optimization, UI, Libraries, Open Source
121 points by leeoniya 22 days ago | 21 comments
Making OCaml Safe for Performance Engineering [video] (youtube.com)
Programming Languages, Performance Optimization, OCaml
10 points by todsacerdoti 22 days ago | 0 comments
Engineering a Trace Details Page That Handles a Million Spans (signoz.io)
Engineering, Monitoring, Performance Optimization, Distributed Systems
10 points by vikrantgupta25 23 days ago | 1 comments
Golang sync.Pool is not a silver bullet (wundergraph.com)
When it comes to performance optimization in Go, sync.Pool often appears as a tempting solution. It promises to reduce memory allocations and garbage collection pressure by reusing objects. But is it always the right choice? Let's dive deep into this fascinating topic.
Go, Performance Optimization, Programming, Memory Management
4 points by jensneuse 24 days ago | 0 comments
Growing Buffers to Avoid Copying Data (johnnysswlab.com)
We at Johnny’s Software Lab LLC are experts in performance. If performance is in any way concern in your software project, feel free to contact us.
Software Development, Performance Optimization, Programming
42 points by ingve 25 days ago | 29 comments
Why Adding a Full Hard Drive Can Make a Computer More Powerful (wired.com)
“Obviously” is a dangerous word, even in scenarios that seem simple. Suppose, for instance, you need to do an important computation. You get to choose between two computers that are almost identical, except that one has an extra hard drive full of precious family photos. It’s natural to assume that the two options are equally good—that an extra drive with no space remaining won’t aid your computation.
Computer Hardware, Performance Optimization, Technology, Storage
5 points by SethMurphy 26 days ago | 2 comments
Ubuntu Provides More Insight into Their Decision Not to "-O3" All Packages (phoronix.com)
Since last year Canonical had been investigating using -O3 compiler optimizations for their Ubuntu package builds in the name of delivering better performance for Ubuntu Linux.
Linux, Ubuntu, Performance Optimization, Software Development
4 points by wrayjustin 28 days ago | 0 comments
Disk I/O bottlenecks in GitHub Actions (depot.dev)
When your CI pipelines are slow, you can only optimize so much. Bottlenecks in CPU, Network, Memory, and Disk I/O can all contribute to slow CI pipelines. Let's take a look at how disk I/O can be a bottleneck in GitHub Actions.
GitHub Actions, CI/CD, Performance Optimization, DevOps, Disk I/O
106 points by jacobwg 29 days ago | 72 comments
Faster interpreters in Go: Catching up with C++ (planetscale.com)
The SQL evaluation engine that ships with Vitess, the open-source database that powers PlanetScale, was originally implemented as an AST evaluator that used to operate directly on the SQL AST generated by our parser. Over this past year, we've gradually replaced it with a Virtual Machine which, despite being written natively in Go, performs similarly to the original C++ evaluation code in MySQL.
Performance Optimization, Databases, Programming Languages, Open Source
16 points by krvajal 31 days ago | 0 comments
The Curious Case of Beam CPU Usage (2019) (stressgrid.com)
While benchmarking Go vs Elixir vs Node, we discovered that Elixir (running on the BEAM virtual machine) had much higher CPU usage than Go, and yet its responsiveness remained excellent. Some of our readers suggested that busy waiting may be responsible for this behavior.
Programming, Performance Optimization, Benchmarking, Virtual Machines
36 points by fzil 31 days ago | 6 comments
Prospero challenge, now with more garbage collection (bernsteinbear.com)
Matt Keeter put up The Prospero Challenge, which is like catnip for me. It’s a well-scoped project: we have a slow program. Make it faster within these constraints. In this post, I will describe two very small changes that can speed up his sample program with minimal effort.
Programming, Performance Optimization, Software Development
14 points by todsacerdoti 32 days ago | 0 comments
Btrfs Adding Fast/Realtime ZSTD Compression and Other Performance Optimizations (phoronix.com)
David Sterba of SUSE sent in all of the Btrfs file-system updates today for the now-open Linux 6.15 kernel merge window.
Linux Kernel, File Systems, Performance Optimization, Btrfs
17 points by todsacerdoti 32 days ago | 2 comments
Fast columnar JSON decoding with arrow-rs (arroyo.dev)
JSON is the most common serialization format used in streaming pipelines, so it pays to be able to deserialize it fast. This post covers in detail how the arrow-json library works to perform very efficient columnar JSON decoding, and the additions we've made for streaming use cases.
JSON, Data Processing, Performance Optimization, Streaming, Libraries
56 points by necubi 34 days ago | 7 comments
Optimizing by 1700x by not being silly (ayende.com)
I care about the performance of RavenDB. Enough that I would go to epic lengths to fix them. Here I use “epic” both in terms of the Agile meaning of multi-month journeys and the actual amount of work required. See my recent posts about RavenDB 7.1 I/O work.
Performance Optimization, Software, RavenDB
9 points by gslin 34 days ago | 1 comments