Tinychain

Changelog:
- improved OpenCL support & performance

This release re-introduces a separate binary which supports GPU acceleration via OpenCL.

Changelog:
- improved table table index merge performance
- improved memory performance by minimizing heap allocations

This release includes incremental bug fixes and performance improvements focused on supporting high-traffic applications.

Version 0.13-beta introduces experimental support for multi-GPU hardware acceleration using the [ha-ndarray](https://github.com/haydnv/ha-ndarray) library. If you are using TinyChain, we want to hear from you! Send an email with the word "hello" to [hellotinychain.net](mailto:hellotinychain.net).

Changelog:
* dropped ArrayFire as a dependency
* added experimental support for multi-GPU hardware acceleration (build with the "opencl" feature flag to enable this)
* updated collection types to implement a log-structured merge consistency model, for faster commits
* decoupled transactional locks from filesystem locks
* added support for cell level locking
* added support for multiple axes in tensor reduce operations (including einsum)
* updated crate structure to include the new `chain`, `collection`, `fs`, `scalar`, and `state` sub-crates for faster build times

changelog:
- add support for installing a new `Cluster` at runtime without restarting
- implement basic support for `/class`, `/library`, and `/service` endpoints
- require authorization to install a new `Cluster`
- performance improvements to transactional locking
- replace `App` with `Service` in the Python client
- update linear algebra and ml services and tests to use `Service` with dynamic installation
- refactor `Chain` to support a generic mutable subject
- refactor `tc_transact::File` to support a generic key type
- bugfixes to `Chain` recovery in single-host mode
- security updates to dependency versions

SHA256 checksum: 9cf7d9408f3e10e8d1dbc92f6cd8ccf6bffd24992e82dfbe842b48c23266b87f

This release focuses on host performance.

Changelog:
- chain performance improvements
- transactional filesystem performance improvements
- transaction lock performance improvements
- complex number performance improvements
- gradient support for for `Tensor.max`, `Tensor.min`, `Tensor.product`, `Tensor.sum`

SHA256 checksum: b15b4f7734946ff2c3303b84bc8f0bcdc3a8b213317e731215c6156d4583cc8e