Alternatives
Products that do what Lockstep – A data-oriented programming language does
https://github.com/seanwevans/lockstep I want to share my work-in-progress systems language with a v0.1.0 release of Lockstep. It is a data-oriented systems programming language designed for high-throughput, deterministic compute pipelines. I built Lockstep to bridge the gap between the productivity of C and the execution efficiency of GPU compute shaders. Instead of traditional control flow, Lockstep enforces straight-line SIMD execution. You will not find any if, for, or while statements inside compute kernels; branching is entirely replaced by hardware-native masking…
- 1UC
2016 · samanbarghi.com
- 2MM
I've been working on implementing the compile-time approach to memory management described in this thesis (https://www.cl.cam.ac.uk/techreports/UCAM-CL-TR-908.pdf) for some time now - some of the performance results look promising! (Although some less so...) I think it would be great to see this taken further and built into a more complete functional language.
2020 · github.com
- 3NC
Hello, Some time ago I did a data logger for fun, just to check if I could beat the performance of an old C++ project of mine (mini-async-log) and to avoid letting my multithreading-C skills rust when on a non-programming gig (using Yocto/OE, very little programming). This project is a BSD licensed, producer-wait-free (when using thread-local storage) generic message logger with high performance, decent test coverage, and type-safe C strings (requires C11 or C++ compiler). It was a shame to let this project to die unknown, as I think that it has potential to be used on some niches as…
2019
- 4BA
2020 · github.com
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- 6SA
Hi HN! Silk is a project I began working on approximately six months ago without any prior experience or knowledge of compiler design, and it's been a frustrating but fun learning experience. It is very much a work in progress, but I would love to hear feedback of any kind!
2020 · ajaymt.github.io
- 7FA
2018 · github.com
- 8SB
2021 · github.com
- 9AL
2016 · github.com
- 10CL
Hey HN, I wrote a compute shader emulator that started as a 50-line script to help me understand reduction shaders. What makes this implementation interesting is its technical approach; I've leveraged Nim's macros and closure iterators to simulate lockstep execution of logical threads. The emulator runs GPU compute shaders on CPU, simulating workgroups and subgroups with proper synchronization. It supports GLSL subgroup operations and provides nice debugging messages. The emulator works with Nim code that follows compute shader patterns I've documented some technical aspects here:…
2025 · github.com
- 11SA
2012 · github.com
- 12LV
2019 · github.com
- 13NA
2019 · github.com
- 14PO
Hello HN! We are developers and security researchers making tools for developers to encrypt data at an application level while maintaining sole control of their keys. We believe that data should always be encrypted unless it is part of an active computation. Encryption is relatively easy, but key management is challenging. There are plenty of encryption tools and SDKs that are out there (Hashicorp Vault, AWS KMS etc.) but we are focusing on ease and speed of implementation, developer experience and self custody of keys. A few months ago, we quit our jobs and started full time on Phase. So…
2023 · github.com
- 15LI
2019 · locklock.io
- 16XL
2016 · github.com
- 17AC
2019 · github.com
- 18LZ
Lilith Zero is a high-performance security runtime designed to mitigate data exfiltration and unauthorized tool invocation in LLM-based agent systems. By interposing at the transport layer, Lilith Zero enforces security invariants through deterministic policy evaluation and strictly framed execution. Lilith Zero is OS, framework, and language agnostic, providing uniform security primitives across diverse implementation environments.
Apr 2026 · github.com
- 19TA
Tandem is a cryptographic engine for executing programs using Secure Multi-Party Computation (MPC), which allows 2 parties to compute a function without revealing their private inputs. The classic example from cryptography is the millionaires' problem, where two millionaires compute who is richer without revealing their wealth to each other. MPC has in the past been mostly confined to academia, but thanks to some recent papers has finally become fast enough for practical applications. Tandem uses Garbled Circuits, encrypted circuits consisting of boolean gates. While there have been other…
2022 · github.com
- 20SS
Hi HN! I've been building a project that handles high-value credentials in-process, and I wanted something more robust than just zeroing memory on drop. A comment on a recent Show HN[0] made me realize that awareness of lower-level memory protection techniques might not be as widespread as I thought. The idea here is to pull out all the tools in one crate, with a relatively simple API. * mlock/VirtualLock to prevent sensitive memory from being swapped (eg the KeePass dump) * Core dump exclusion using MADV_DONTDUMP on Linux & Android * mprotect to minimize exposure over time * Guard…
Mar 2026 · github.com
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Hi everyone, Please checkout compute.cx which is a simple cli interface for using on demand GPUs from RunPod and HotAisle. I created this because I really like the ease of modal.com for severless gpu access, but don’t always want to pay their markup. Compute.cx gives the same DX but on public on-demand GPUs like runpod and hotaisie. Please try it out, and write to me [email protected] for any questions/suggestions, or file a bug report on https://github.com/theoriclabs/docs.compute.cx Thanks! Harsh Gupta https://x.com/hargup13 P.S. BYOK AWS, GCP and…
16d ago · compute.cx
- 22IE
Quick note on how it works and how I've done my batch embedding engine IgniteMS. The whole thing runs as one process using Rust, reading input, tokenizing, packing batches, keeping the queue full. TensorRT handles inference. Python is only as a wrapper. I built it this way because when you use more than couple of GPUs, the GPUs stop being the problem. CPU cannot feed them fast enough. One A100 can go through batches faster than Python can tokenize and feed, so the GPU just sits there idle waiting for work. Most of my time went into optimizing this. At 8 GPUs that was basically the entire…
Jun 2026 · github.com
- 23AC
I built this toolkit with my colleague to dive deep into OS internals and automate the identification of privilege escalation vectors. Written in pure C without external dependencies, it explores everything from Linux capabilities and Docker escapes to Windows token manipulation and service permissions. We believe that the constant struggle between breaking and securing systems is the ultimate driver of software evolution. This tool is our contribution to that cycle, designed for researchers who want to understand how low-level misconfigurations can be discovered and audited across different…
Jan 2026
- 24DC
Hey HN, A few friends and I have spent the past 6 years or so developing a way to write data transformation code in a way that can easily adapt to changes in logic or data elements both upstream and downstream without the need major refactoring, regression testing, or re-orchestration. We decided to open source the project about two months ago and published a CLI tool after we realized how big of a task it was to take on incumbents like stored procedures, dbt, and psyspark. It is early days for our community and we are looking to grow and engage with others to poke holes and contribute…
2024 · github.com
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