The Download: Tech Talks by the HPCC Systems Community, Episode 16

Presented by

HPCC Systems

About this talk

This episode will feature our 2018 HPCC Systems summer interns: Shah Muhammad Hamdi, PhD student, CS at Georgia State University - Dimensionality Reduction and Feature Selection in ECL-ML Hamdi will discuss the parallel implementation of Principal Component Analysis (PCA) using the Parallel Block Basic Linear Algebra Subsystem (PBblas) library and ECL implementations of feature selection algorithms for the HPCC Systems platform. Robert Kennedy, PhD student in Computer Science at Florida Atlantic University - Parallel Distributed Deep Learning on HPCC Systems Robert will cover what he implemented during his summer internship. Combining HPCC Systems and Google’s TensorFlow, Robert created a parallel stochastic gradient descent algorithm to provide a basis for future deep neural network research and to enhance HPCC System’s distributed neural network training capabilities. Aramis Tanelus, programmer and senior at American Heritage High School where he is the lead programmer for the Advanced Robotics Team - Developing HPCC Systems Data Ingestion APIs for Common Robotic Sensors. Aramis’s project will make it easy for anyone in robotics around the world to ingest data from common robotic sensors into an HPCC Systems platform for use in data analysis. Aramis will be speaking about his work on the autonomous agricultural robot and implementing new packages for the Robotics Operating System to interface with HPCC Systems for big data analysis. Saminda Wijeratne, Masters student, Computational Science and Engineering at Georgia Institute of Technology, Atlanta - MPI Proof of Concept The built-in "Message Passing" library in HPCC Systems is designed to handle these communications among dissimilar components and perform non-trivial communication patterns among them. Saminda will explore how this library currently operates and how we can introduce a different implementation such as an existing popular library called MPI.

Related topics:

More from this channel

Upcoming talks (0)
On-demand talks (49)
Subscribers (2168)
HPCC Systems is an open source Big Data analytics solution for businesses of all sizes, allowing them to improve critical time to results and decisions. Subscribe to our channel to keep informed of the latest HPCC Systems events.