discovery-unicamp
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ale-exercise-book
ale-exercise-book PublicALE Exercise Book: A set of exercises to support professors and students in the assembly language learning process
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- swav-har Public
- dasf-core Public
Framework for computing Machine Learning algorithms in Python using Dask and RAPIDS AI.
- smartparking_unicamp Public
- memory-aware-chunking Public
A comprehensive repository for research on optimizing Dask’s chunking mechanism using memory consumption prediction. Includes the full MSc thesis, experiments, datasets, and tools for precise memory profiling.
- unicamp-namss-dataset Public
- ale-exercise-book Public
ALE Exercise Book: A set of exercises to support professors and students in the assembly language learning process
- faas-dask Public
FaaS-Dask adapts the Dask parallel computing framework to run on serverless (FaaS) platforms. It is designed to reduce costs for interactive scientific workflows by eliminating charges for idle time between computations, a common issue with traditional VM-based clusters. This provides a scalable, cost-efficient alternative for sporadic workloads.
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