IBMSparkGPU / CUDA-MLlibLinks
CUDA kernel and JNI code which is called by Apache Spark's MLlib.
☆19Updated 9 years ago
Alternatives and similar repositories for CUDA-MLlib
Users that are interested in CUDA-MLlib are comparing it to the libraries listed below
Sorting:
- Spark implementation of the Google Correlate algorithm to quickly find highly correlated vectors in huge datasets☆93Updated 9 years ago
- Distributed Matrix Library☆72Updated 8 years ago
- Spark MLlib code optimized to efficiently support sparse data☆51Updated 8 years ago
- Spark library for doing exploratory data analysis in a scalable way☆43Updated 9 years ago
- analytics tool kit☆43Updated 8 years ago
- Splash Project for parallel stochastic learning☆94Updated 8 years ago
- The code for the in memory data pipeline that was presented at Berlin Buzzwords 2015.☆10Updated 10 years ago
- ☆110Updated 8 years ago
- Code to allow running BIDMach on Spark including HDFS integration and lightweight sparse model updates (Kylix).☆15Updated 5 years ago
- Quick summary: This code implements a spectral (third order tensor decomposition) learning method for learning LDA topic model on Spark.☆105Updated 7 years ago
- GPU Acceleration for Apache Spark☆34Updated 9 years ago
- MLeap allows for easily putting Spark ML pipelines into production☆78Updated 8 years ago
- Benchmarks of BLAS libraries with Scala interface☆30Updated 9 years ago
- Spark GPU and SIMD Support☆61Updated 5 years ago
- A primal-dual framework for distributed L1-regularized optimization☆36Updated 9 years ago
- Additional useful algorithms that can be used with spark.☆24Updated 10 years ago
- A scala-based feature generation and modeling framework☆61Updated 6 years ago
- Distributed DataFrame: Productivity = Power x Simplicity For Scientists & Engineers, on any Data Engine☆167Updated 4 years ago
- A CPU and GPU-accelerated matrix library for data mining☆266Updated 4 years ago
- Machine learning evaluation database☆24Updated 7 years ago
- Scala client for the Lightning data visualization server (WIP)☆47Updated 6 years ago
- Spark Parameter Optimization and Tuning☆31Updated 7 years ago
- Topic Modeling on Apache Spark☆94Updated 6 years ago
- Puck is a lightning-fast parser for natural languages using GPUs☆250Updated 10 years ago
- GPU* or SPARK* branches are used for generating GPU code in Tungsten/concact:@kiszk, MLlib branch is used for CUDA-MLlib project/concact:…☆48Updated 8 years ago
- Lossy Counting and Sticky Sampling implementation for efficient frequency counts on data streams.☆63Updated 9 years ago
- Gaussian Mixture Model Implementation in Pyspark☆32Updated 10 years ago
- This is an introduction of Apache Spark DataFrames.☆41Updated 10 years ago
- Benchmarks of artificial neural network library for Spark MLlib☆11Updated 9 years ago
- something to help you spark☆65Updated 6 years ago