This repository contains solutions to competitive programming problems from multiple platforms, organized by difficulty and topic. It serves as a personal learning journey and reference for ...

Anthropic researcher Nicholas Carlini published a blog post describing how he set 16 instances of the company’s Claude Opus 4.6 AI model loose on a shared codebase with minimal supervision, tasking ...

Rust projects can have notoriously long compile times. One way to speed up compilation is to split a project into multiple crates in a single "workspace", where each crate can be recompiled ...

The Detroit Pistons had the worst record in franchise history at the All-Star break four years ago. And two years ago, their record at the break was even worse. Look at them now. When the NBA starts ...

AI accelerators provide a promising influence for the deployment of deep learning model on edge devices, and an effective compiler can reduce great workload when deploying the models. Multi-level ...

Abstract: Sparsity is becoming arguably the most critical dimension to explore for efficiency and scalability as deep learning models grow significantly larger. Particularly, pruning is a common ...

shecc is built from scratch, targeting both 32-bit Arm and RISC-V architectures, as a self-compiling compiler for a subset of the C language. Despite its simplistic nature, it is capable of performing ...