Search Results for "high performance computing"
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Showing 2 open source projects for "high performance computing"
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Cut Data Warehouse Costs by 54%BigQuery delivers 54% lower TCO with exabyte scale and flexible pricing. Free migration tools handle the SQL translation automatically.
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Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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Diplomacy Cicero
Code for Cicero, an AI agent that plays the game of Diplomacy
...It supports two variants: Cicero (which handles full “press” negotiation) and Diplodocus (a variant focused on no-press diplomacy) as described in the README. The codebase is implemented primarily in Python with performance-critical components in C++ (via pybind11 bindings) and is configured to run in a high‐GPU cluster environment. Configuration is managed via protobuf files to define tasks such as self-play, benchmark agent comparisons, and RL training. The project is now archived and read-only, reflecting that it is no longer actively developed but remains publicly available for research use. -
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Statistical Casting Daemon
SCASTD (Statistical Casting Daemon)
SCASTD (Statistical Casting Daemon) is a lightweight, high-performance statistics collection and analytics engine we designed specifically for streaming media infrastructure. Unlike traditional streaming servers, we built SCASTD to be the definitive monitoring solution that bridges legacy and modern streaming protocols, providing unified analytics across your entire streaming ecosystem
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