rapidsai / libgdf
[ARCHIVED] C GPU DataFrame Library
☆138Updated 6 years ago
Alternatives and similar repositories for libgdf:
Users that are interested in libgdf are comparing it to the libraries listed below
- [ARCHIVED] cuDF [alpha] - RAPIDS Merge of GoAi into cuDF☆34Updated 6 years ago
- [ARCHIVED] Dask support for distributed GDF object --> Moved to cudf☆136Updated 5 years ago
- Demo notebooks inside a docker for end-to-end examples☆113Updated 7 years ago
- Data Parallel Python☆207Updated 11 years ago
- Python bindings for UCX☆126Updated last week
- RAPIDS GPU-BDB☆108Updated last year
- [ARCHIVED] GPU String Manipulation --> Moved to cudf☆46Updated 5 years ago
- Machine Learning Toolkit for Extreme Scale (MaTEx)☆111Updated 6 years ago
- Intel(R) Machine Learning Scaling Library is a library providing an efficient implementation of communication patterns used in deep learn…☆109Updated 2 years ago
- Command line interface to and serialization format for Blosc☆123Updated 2 years ago
- Original Python version of Intel® Nervana™ Graph☆215Updated 2 years ago
- High-Performance Streaming Graph Analytics on GPUs☆31Updated 6 years ago
- A visual dataflow programming language for NVIDIA's RAPIDS, based on AlvarBer/Persimmon☆13Updated 5 years ago
- Alchemist: an Apache Spark<->MPI interface☆26Updated 6 years ago
- General purpose, language-agnostic Continuous Benchmarking (CB) framework☆35Updated 4 years ago
- Deprecated, please use https://github.com/jcrist/skein or https://github.com/dask/dask-yarn instead☆52Updated 6 years ago
- Distributed Numpy☆148Updated 7 years ago
- ☆46Updated 7 years ago
- Serverless Scientific Computing☆87Updated 5 years ago
- Python exposure of dynd☆120Updated 2 years ago
- Default Repo description from terraform module☆5Updated 5 years ago
- ☆92Updated 5 years ago
- C++ dynamic ndarray library, with Python exposure☆305Updated 4 years ago
- FlashX is a collection of big data analytics tools that perform data analytics in the form of graphs and matrices.☆233Updated 4 years ago
- Introduction and tutorials for using PyDAAL, i.e. the Python API of Intel Data Analytics Acceleration Library☆37Updated 6 years ago
- A simple memory manager for CUDA designed to help Deep Learning frameworks manage memory☆297Updated 6 years ago
- Weighted MinHash implementation on CUDA (multi-gpu).☆117Updated last year
- A platform for online learning that curtails data latency and saves you cost.☆47Updated 3 years ago
- Unified interface for local and distributed ndarrays☆157Updated 6 years ago
- An Aspiring Drop-In Replacement for Pandas at Scale☆75Updated 3 years ago