Sparsity-aware deep learning inference runtime for CPUs
-
Updated
Jul 19, 2024 - Python
Sparsity-aware deep learning inference runtime for CPUs
Estimate the number of usable cores to perform data processing in the browser.
Get os.cpus().length to match Linux container CPU quota.
Calculate the number of CPUs available taking into account system constraints
Dynamic schedule management framework for soft-real-time jobs on GPU based architectures
Application to test the functionality of the RDRAND instruction in x86 CPUs
Get the number of CPUs available on the current system.
ClusterOps is an enterprise-grade Python library developed and maintained by the Swarms Team to help you manage and execute agents on specific CPUs and GPUs across clusters. This tool enables advanced CPU and GPU selection, dynamic task allocation, and resource monitoring, making it ideal for high-performance distributed computing environments.
A program for monitoring remote gpus and cpus with a graphical history
Add a description, image, and links to the cpus topic page so that developers can more easily learn about it.
To associate your repository with the cpus topic, visit your repo's landing page and select "manage topics."