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#ibmedge © 2016 IBM Corporation Enabling Cognitive Workloads on the Cloud: GPUs with Mesos, Docker and Marathon on POWER Seetharami Seelam, IBM Research Indrajit Poddar,…
Embracing modern workloads without losing “IT” - Combining Mesos+Kubernetes+Spark Yonggang Hu, Distinguished Engineer, IBM Spectrum Computing IBM Systems 2 © 2016…
1. Containers at Scale * 2. * *IoT Platform *IoT is really all about data *A secure data broker in the cloud *Open and agnostic *Any kind of data *Any kind of device or service…
1. 1 Accelerating Spark Workloads in a Mesos Environment with Alluxio Gene Pang, Software Engineer, Alluxio, Inc. * ©2017 Alluxio, Inc. All Rights Reserved 2. About Me Gene…
CS 6453 – LECTURE 6: MESOS PLATFORM REUBEN RAPPAPORT WHAT IS THE PROBLEM? • There are many existing frameworks for cluster computing • Generally, different frameworks…
1 Accelerating Spark Workloads using GPUs Rajesh Bordawekar, Minsik Cho, Wei Tan, Benjamin Herta, Vladimir Zolotov, Alexei Lvov, Liana Fong, and David Kung IBM T. J. Watson…
1. 1 Accelerating Spark Workloads in an Apache Mesos Environment with Alluxio Adit Madan, Software Engineer, Alluxio Ravi Yadav, Partnerships Lead, Mesosphere * ©2017 Alluxio,…
Optimizing Facebook AI Workloads for NVIDIA GPUs Gisle Dankel and Lukasz Wesolowski Facebook AI Infrastructure S9866 03192019 Outline 2 Fleetwide GPU Efficiency at Facebook…
Deep Learning Workloads with NVIDIA GPUs on OpenShift 28 October 2019 Mayur Shetty Senior Solutions Architect Red Hat Mehnaz Mahbub Cluster Systems Engineer Supermicro Inc…
Pse Efficient Management of LLCs in GPUs for 3D Scene Rendering Workloads Jayesh Gaur (Intel) Raghuram Srinivasan (Ohio State) Sreenivas Subramoney (Intel) Mainak Chaudhuri…
Online Scheduling of Spark Workloads with Mesos using Different Fair Allocation Algorithms∗ Y Shan A Jain G Kesidis B Urgaonkar School of EECS PSU State College PA {yxs182axj182gik2buu1}@psuedu…
Embracing modern workloads without losing “IT” - Combining Mesos+Kubernetes+Spark Yonggang Hu Distinguished Engineer IBM Spectrum Computing IBM Systems 2 © 2016 IBM…
1 Accelerating Spark Workloads using GPUs Rajesh Bordawekar Minsik Cho Wei Tan Benjamin Herta Vladimir Zolotov Alexei Lvov Liana Fong and David Kung IBM T J Watson Research…
ATI Stream Computing Update Confidential1 Accelerating Java Workloads via GPUs JavaOne2010 S3138881 Accelerating Java Workloads via GPUs Gary Frost JavaOne 2010 S313888 ATI…
WHITE PAPER – AUGUST 2018 VIRTUALIZING MACHINE LEARNING WORKLOADS WITH NVIDIA GPUs PROVIDES THE BEST OF BOTH WORLDS W H I T E PA P E R 2 Contents Key Trends in Big Data…
Behind the Scenes: Memory Analysis of Graphical Workloads on Tile-based GPUs Germán Ceballos1 Andreas Sembrant1 Trevor E Carlson2 and David Black-Schaffer1 1Uppsala University…
Batch-Aware Unified Memory Management in GPUs for Irregular Workloads Hyojong Kim Georgia Institute of Technology Jaewoong Sim Intel Labs Prasun Gera Georgia Institute of…
© 2013 IBM Corporation Programming GPUs for non-graphics workloads – from General Purpose GPU GPGPU to GPU compute Tim Kaldewey Apr 21 2014 Tim Kaldewey Research Staff…
Deep Learning Workloads with NVIDIA GPUs on OpenShift 28 October 2019 Mayur Shetty Senior Solutions Architect Red Hat Mehnaz Mahbub Cluster Systems Engineer Supermicro Inc…
© 2016 by The Enterprise Strategy Group Inc All Rights Reserved Comparisons to the Cray Urika-GX Agile Analytics Platform By Nik Rouda ESG Senior Analyst and Mike Leone…