AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
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正在載入完整 README。 以下為已儲存的摘錄。
[//]: # (Distributed under the MIT License.)
[//]: # (See LICENSE.txt for details.)
SpECTRE is an open-source code for multi-scale, multi-physics problems in
astrophysics and gravitational physics. It is based on high-order spectral
finite element methods and massive parallelism. In the future, we hope that
it can be applied to problems across discipline boundaries in fluid
dynamics, geoscience, plasma physics, nuclear physics, and
engineering. It runs at petascale and is designed for future exascale
computers.檢視完整 README ↗目前無法載入完整 README。請透過原文連結閱讀。 以下為已儲存的摘錄。
[//]: # (Distributed under the MIT License.)
[//]: # (See LICENSE.txt for details.)
SpECTRE is an open-source code for multi-scale, multi-physics problems in
astrophysics and gravitational physics. It is based on high-order spectral
finite element methods and massive parallelism. In the future, we hope that
it can be applied to problems across discipline boundaries in fluid
dynamics, geoscience, plasma physics, nuclear physics, and
engineering. It runs at petascale and is designed for future exascale
computers.檢視完整 README ↗