JIT Compilation
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Python JIT compiler project under threat after steering council says proper process wasn't followed
The Python steering council has surprised onlookers by asking for the suspension of new development on the JIT (just in time) compiler project from the main branch of the Python code repository, pending creation and acceptance of a new PEP (Python enhancement proposal) for the project. Bug and security fixes for existing JIT code in main will continue to be accepted, but if no PEP is submitted and approved within six months, the JIT code will be removed from main. The announcement is...
Agent JIT Compilation for Latency-Optimizing Web Agent Planning and Scheduling
arXiv:2605.21470v2 Announce Type: replace Abstract: Computer-use agents (CUAs) automate tasks specified with natural language such as "order the cheapest item from Taco Bell" by generating sequences of calls to tools such as click, type, and scroll on a browser. Current implementations follow a sequential fetch-screenshot-execute loop where each iteration requires an LLM call, resulting in high latency and frequent errors from incorrect tool use. We present agent just-in-time (JIT)...
Python JIT project was asked to pause development
We would like to take a moment to talk about the experimental just-in-time compiler in CPython, and the path we think it should take from here. Over the past several years, several core developers and contributors have been building a JIT compiler in the main branch of CPython. We want to begin by thanking them.
Zeroserve: A zero-config web server you can script with eBPF
zeroserve is a small, fast, zero-config HTTPS server. You hand it a tarball of a website and it serves it - over HTTP/2 and TLS 1.3, with hot reload and a tiny resident footprint. The twist is that you can drop eBPF programs into the tarball and they run on every request, in userspace, as sandboxed middleware - rewriting, authenticating, and rate-limiting requests, or reverse-proxying them to a backend when you want it to act as a gateway in front of your app.
Accelerated Fourier SAT (AFSAT): Fully Realising a GPU-based Symmetric Pseudo-Boolean SAT Solver
Announce Type: new Abstract: We present Accelerated Fourier SAT (AFSAT), a GPU-accelerated solver for pseudo-Boolean satisfiability based on continuous local search (CLS). AFSAT realises the proof-of-concept approach, FastFourierSAT, into a fully-engineered solver supporting any heterogeneous mixture of symmetric constraint types and lengths within a single problem instance. Using the JAX compiler, AFSAT leverages pure function composition, automatic vectorisation, automatic differentiation,...
JAX-AMG: A GPU-Accelerated Differentiable Sparse Linear Solver Library for JAX
Announce Type: new Abstract: Sparse linear systems from PDE discretizations are central to scientific computing, yet no existing JAX-ecosystem solver simultaneously provides GPU-accelerated algebraic multigrid (AMG), automatic differentiation (AD), and distributed multi-GPU execution. JAX-AMG fills this gap by wrapping the Nvidia AmgX solver suite as a native JAX primitive, exposing AMG and Krylov methods with configurable preconditioners through a unified interface compatible with JIT...
Cessation of public development of Kefir C compiler
To whom it may concern, Today I announce the cessation of public development of Kefir C compiler and transition the work into private mode for an indefinite period of time. First and foremost, I myself am saddened by this change, however consider it necessary for sustainability of the project. From now on and for an indefinite period of time, no new major developments of the Kefir compiler project will be distributed publicly.
JAX-AMG: A GPU-Accelerated Differentiable Sparse Linear Solver Library for JAX
Announce Type: cross Abstract: Sparse linear systems from PDE discretizations are central to scientific computing, yet no existing JAX-ecosystem solver simultaneously provides GPU-accelerated algebraic multigrid (AMG), automatic differentiation (AD), and distributed multi-GPU execution. JAX-AMG fills this gap by wrapping the Nvidia AmgX solver suite as a native JAX primitive, exposing AMG and Krylov methods with configurable preconditioners through a unified interface compatible with JIT...
KVarN: Native vLLM backend for KV-cache quantization by Huawei
⚡️ Built for agentic and long-context workloads. 💡 KVarN delivers 3-5x more KV-cache capacity and up to ~1.3x the throughput of FP16, so you fit far longer contexts and serve more concurrent requests, with FP16-level accuracy. 🔌 Calibration-free, plug-and-play with vLLM.
amerta: A Python Library for Idealized 1D Saint--Venant Dam-Break Simulation
arXiv:2605.31011v1 Announce Type: new Abstract: The Saint-Venant shallow water equations (SWE) govern depth-integrated free-surface flows arising in dam-break inundation, flood routing, tsunami runup, and estuarine tidal dynamics. Closed-form analytical solutions exist only for highly idealized Riemann configurations, making rigorously verified numerical solvers essential. This work presents amerta, an open-source Python library that solves the one-dimensional frictionless Saint-Venant...