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PyPy3 offers tremendous speedups for IceStorm tools written in Python, including tools used at compile-time to generate the chip databases, and runtime tools distributed to users, such as icebox_vlog. For example, on my ThreadRipper 1950X, build times for IceStorm consistently go from 2m30s -> 1m30s with this change, a 40% improvement, simply due to improvements in raw CPU efficiency. (This is also worsened by the fact the build is currently serial, but that can easily be fixed anyway.) On top of that, tools distributed to users are also now run using PyPy. Utilities such as icebox_vlog are useful for post-bitstream testing, for instance, and also are improved due to improved CPU efficiency as well. For example, when "decompiling" an ICE40 bitstream for HX8K devices, containing a synthesized copy of PicoRV32 (from the NextPNR demos), the runtime of icebox_vlog is cut from 25 seconds to 9 seconds consistently with this change alone. Normally, picking a Python interpreter outright for Python-based code is a "bad idea", but in the case of IceStorm it should be perfectly safe, and an excellent improvement for users. There are a few reasons for this: - IceStorm uses pure Python 3 and nothing else. There are no requirements for any 3rd party packages, which might cause annoying incompatibilities, and PyPy has historically shown very strong core Python compatibility. - IceStorm is NOT a set of Python libraries, it is a set of tools, some of which, coincidentally, are written in Python. It is (normally) bad form to fix libraries to certain interpreters versions if the reason strictly isn't "it doesn't work/isn't compatible". That is not the case here. These tools may later be used by other programs, such as NextPNR, but the Python interpreter is ultimately not that important in quesion for the user. In this sense, there is almost no downside to picking PyPy explicitly if it offers far better performance. (Point 2 is not actually strictly true; there are some distributed .py files that you can import from but they are basically just static classes that are imported by tools like nextpnr; this is expected.) Because of this, users should see very little change except better performance for IceStorm tools on their machines. Note that PyPy is not supported on aarch64 -- this only applies to x86_64 machines. Signed-off-by: Austin Seipp <aseipp@pobox.com> |
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| lib | ||
| maintainers | ||
| nixos | ||
| pkgs | ||
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| .gitignore | ||
| .version | ||
| COPYING | ||
| default.nix | ||
| README.md | ||
Nixpkgs is a collection of packages for the Nix package manager. It is periodically built and tested by the Hydra build daemon as so-called channels. To get channel information via git, add nixpkgs-channels as a remote:
% git remote add channels https://github.com/NixOS/nixpkgs-channels.git
For stability and maximum binary package support, it is recommended to maintain
custom changes on top of one of the channels, e.g. nixos-18.09 for the latest
release and nixos-unstable for the latest successful build of master:
% git remote update channels
% git rebase channels/nixos-18.09
For pull requests, please rebase onto nixpkgs master.
NixOS Linux distribution source code is located inside
nixos/ folder.
- NixOS installation instructions
- Documentation (Nix Expression Language chapter)
- Manual (How to write packages for Nix)
- Manual (NixOS)
- Community maintained wiki
- Continuous package builds for unstable/master
- Continuous package builds for 18.09 release
- Tests for unstable/master
- Tests for 18.09 release
Communication:
Note: MIT license does not apply to the packages built by Nixpkgs, merely to the package descriptions (Nix expressions, build scripts, and so on). It also might not apply to patches included in Nixpkgs, which may be derivative works of the packages to which they apply. The aforementioned artifacts are all covered by the licenses of the respective packages.