Historically, exploiting high-bandwidth, shared-memory GPUs has not been a priority for high-level programming solutions. JACC.shared covers that gap for the first time, thereby providing a highlevel, ...

In recent years, the demand for efficient and scalable machine learning algorithms has surged. Bagging (Bootstrap Aggregating) stands out as a widely used ensemble technique that combines multiple ...

This tutorial serves as a comprehensive guide for developers and researchers interested in creating an API for the Llama 2 language model, with multiprocessing support using Python.

Peter Lawrey discusses Unsafe in Java 8, Project Panama in Java 17 and Java 19, including pactical uses with code examples, demo using Panama, Event Sourcing using shared memory with Chronicle Queue.

We have developed a simulator based on PyCUDA and mpi4py in Python for solving the Euler equations on Cartesian grids. Our framework utilizes the GPU, and can automatically run on clusters using MPI ...

I've wondered why isn't it easier to have multiple processes be able to have a shared memory space. I've also wondered about how to pass shared memory definitions between processes. Use "fork" ...

🐛 Bug I've encountered a mysterious bug while trying to implement Hogwild with torch.multiprocessing. In particular, one version of the code runs fine, but when I add in a seemingly unrelated bit o ...

Python's "multiprocessing" module feels like threads, but actually launches processes. Many people, when they start to work with Python, are excited to hear that the language supports threading. And, ...