TornadoVM, an open-source plug-in for OpenJDK and GraalVM that compiles and offloads Java code to accelerators such as GPUs, released version 2.0 last month, adding support for new data types and ...

Advanced Micro Devices is rapidly gaining share in the AI accelerator market, with 2024 data center revenue nearly doubling.

With two cores at 240 MHz and about 8.5 MB of non-banked RAM if you’re using the right ESP32-S3 version, this MCU seems at ...

Google's Android Runtime (ART) team has achieved a 18% reduction in compile times for Android code without compromising code ...

December 31, 2025 • A few years back, many politicians were raising the alarm about the dangers of "CRT" in schools. Today, the new risk to public education is "DEI." What do both of these moments ...

llm.q is an implementation of (quantized) large language model training in CUDA, inspired by llm.c. It is particularly aimed at medium-sized training setups, i.e., a single node with multiple GPUs.

This project demonstrates GPU-based image processing using CUDA. The application processes a large number of images in parallel by applying pixel-wise operations using custom CUDA kernels.