Bounded-memory serverless distributed N-dimensional array processing
Project description
Cubed
Note: this is a proof-of-concept, and many things are incomplete or don't work.
Bounded-memory serverless distributed N-dimensional array processing
Cubed is a distributed N-dimensional array library implemented in Python using bounded-memory serverless processing and Zarr for storage.
- Implements the Python Array API standard (see coverage status)
- Guaranteed maximum memory usage for standard array functions
- Follows Dask Array's chunked array API (
map_blocks,rechunk,apply_gufunc, etc) - Zarr for persistent and intermediate storage
- Multiple serverless runtimes: Python (in-process), Lithops, Modal, Apache Beam
- Integration with Xarray via cubed-xarray
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
cubed-0.9.0.tar.gz
(99.9 kB
view details)
Built Distribution
cubed-0.9.0-py3-none-any.whl
(127.5 kB
view details)
File details
Details for the file cubed-0.9.0.tar.gz.
File metadata
- Download URL: cubed-0.9.0.tar.gz
- Upload date:
- Size: 99.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.8.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 2ca6b215a96b3d719ae802e3b9ff98e24e42bfab1c5dbce3b2b94825d570faca |
|
| MD5 | fa8b735511dcce99db5c4ff000878545 |
|
| BLAKE2b-256 | dfb7a7b5ccd8c50f461a78dc131c98a62fefe9d8dca1d3a92d3f83959d4899c3 |
File details
Details for the file cubed-0.9.0-py3-none-any.whl.
File metadata
- Download URL: cubed-0.9.0-py3-none-any.whl
- Upload date:
- Size: 127.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.8.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | d6f2290e1b55b3a4f03bcb63a0ef4216392ee01c9ae18dfff50d8ce475456e95 |
|
| MD5 | 2805be188d0066e3d5a235a20c806fd2 |
|
| BLAKE2b-256 | 1aa0f876ccfcf80c2566564338d8fe51ecef11a57b1775b508f430020263aa58 |
