Gaurav Kaul

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Ten years experience in machine learning, HPC and cloud computing in cross-functional teams from internal research to customer facing implementation Deep knowledge of Intel architecture and non-Intel architectures based on Nvidia GPUs, IBM Power and system design for HPC and analytics Hands on experience on several IaaS/PaaS platforms such as AWS, Azure, and OpenStack with DevOps deployments based on Docker containers and orchestration frameworks such as Kubernetes and Docker Swarm Design and implementation of machine learning pipelines on Apache Spark and Hadoop stack Knowledge of code optimization in machine learning on Intel and Nvidia accelerators with special focus on deep lea...

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Gaurav Kaul

Apresentações

Jax 2013 - Big Data and Personalised Medicine

Gaurav slides

Gostaram

Disaggregation a Primer: Optimizing design for Edge Cloud & Bare Metal applications

Designing Modern Streaming Data Applications

Advanced AWS techniques from the trenches of the Enterprise – Sourced Group

10 Lessons from 10 Years of AWS

Broken Linux Performance Tools 2016

IMCSummit 2015 - Day 2 IT Business Track - 4 Myths about In-Memory Databases Busted

Altera Cyclone IV FPGA Customer Presentation

Best Practices for Genomic and Bioinformatics Analysis Pipelines on AWS

Load Store Execution

Auckland Summit Keynote

Hardware trends 2015

Performance and Scale Options for R with Hadoop: A comparison of potential architectures

Using and combining the different tools for predicting the pathogenicity of sequence variants

Agbt2015 workshop schneider

150224 grc kms

Hortonworks Technical Workshop - Operational Best Practices Workshop

Nosql data models

The 5 Habits of Breakthrough Innovators

Introducing DataFrames in Spark for Large Scale Data Science

Biomedicine from Stethoscope to Computer

Hive on spark is blazing fast or is it final

Data Lake vs. Data Warehouse: Which is Right for Healthcare?

Machine Learning with H2O, Spark, and Python at Strata 2015

Pivotal : Moments in Container History

Everyday I'm Shuffling - Tips for Writing Better Spark Programs, Strata San Jose 2015

Assisting User’s Transition to Titan’s Accelerated Architecture

Lessons from Running Large Scale Spark Workloads

Ted Willke, Senior Principal Engineer & GM, Datacenter Group, Intel at MLconf SF

Orchestrating Docker with OpenStack

OpenvSwitch Deep Dive