Hi again! In my last post I mentioned how we parallellized the decision tree algorithm with MPI and how much performance gain we obtained with increasing number of cores. In this post I would like to briefly discuss how the …

End of The Road: Last Remarks on MPI and GASPI. Read More »

As I mentioned previously, the main goal of our project is to improve the performance of a ‘decision tree’ algorithm using High Performance Computing (HPC) parallelization tools such as MPI and GASPI. In this post I will try to explain …

MPI Makes Machines Learn Faster! Read More »

Hi there, this is a brief introduction about myself and what I’m working on recently. About Me My name is Cem. My education life has some zigzagging from engineering to astrophysics, but finally I found myself in the world of …

High Performance Machine Learning Read More »

Project reference: 2001 The goal of the project is to demonstrate that HPC tools are (at least) as good, or better, for big data processing as the popular JVM-based technologies, such as the Hadoop MapReduce or Apache Spark. The performance …

High-performance machine learning Read More »

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