| Name | Version | Summary | date |
| pycompss |
3.3.1 |
Python Binding for COMP Superscalar Runtime |
2024-05-21 15:28:53 |
| locusts |
0.0.77 |
Distributes many short tasks on multicore and hpc systems |
2024-02-16 22:45:03 |
| cw2 |
2.5.1 |
A reengineered framework to run experiments on a computing cluster. |
2024-02-16 11:43:43 |
| py-roofline |
0.0.1 |
A Python library for creating rooflines |
2024-02-16 05:18:53 |
| moduler |
0.0.5 |
|
2023-12-14 14:22:26 |
| hivemind |
1.1.9 |
Decentralized deep learning in PyTorch |
2023-07-23 13:24:17 |
| w7x |
0.6.0 |
The w7x package is a simulation framework that defines interfaces for simulation codes with interchangeable backends, computation pipelines in a directed acyclic graph that communicate via a central state. |
2023-07-23 04:22:11 |
| clustering-geodata-cubes |
0.8.0 |
CGC: a Scalable Python Package for Co- and Tri-Clustering of Geodata Cubes |
2023-07-08 21:05:35 |
| discomputify-P-Y-R-O-B-O-T |
1.0.0 |
A LIBRARY FOR DISTRIBUTED COMPUTING IN PYTHON |
2023-06-21 18:34:29 |
| catalyst-pdm |
22.4.1 |
Catalyst fork compatible with PDM |
2023-04-03 21:30:57 |
| distgfs |
1.1.0 |
Distributed global function search via dlib |
2023-02-04 01:55:07 |
| distwq |
1.1.0 |
Distributed queue operations with mpi4py |
2023-02-03 22:32:54 |
| dispy |
4.15.2 |
Distributed and Parallel Computing with/for Python. |
2022-10-06 14:26:46 |
| catalyst |
22.4 |
Catalyst. Accelerated deep learning R&D with PyTorch. |
2022-04-29 04:46:07 |