Bright Computing’s Ian Lumb to Present on Reverse Time Migration via Resilient Distributed Datasets at HPCS 2015

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Presentation focuses on using Apache Spark to improve seismic reflection data analysis

By Bright Staff | Jun 17, 2015 3:00:00 PM |

   

 

San Jose, California — Bright Computing, the leading provider of vendor-independent cluster and cloud management software, announces that Product Marketing Manager Ian Lumb will be presenting “Reverse Time Migration via Resilient Distributed Datasets: Towards In-Memory Coherence of Seismic-Reflection Wavefields using Apache Spark,” at the upcoming HPCS 2015, being held in Montreal from June 17-19, 2015. The presentation will take place Friday, June 19th at 11:20 a.m. in Room H-535.

Mr. Lumb’s presentation will focus on how seismic wavefields can be distributed in memory across a cluster using Apache Spark. This is an exciting new development that shows promise in addressing the computational challenge facing the petroleum exploration industry when using Reverse Time Seismic Migration (RTM) to determine the coherence between forward and time-reversed wavefields during the processing of seismic reflection data. Processing seismic reflection data with RTM is the most-accurate way to show all reflectors in their actual locations in space and time, and is crucial to effective oil and gas exploration.

Mr. Lumb will discuss how RDDs (Resilient Distributed Datasets), a relatively recent abstraction for in-memory computing ideally suited to distributed computing environments like clusters through the open-source implementation of Apache Spark, appear promising for improving RTM. He will specifically discuss how RDDs facilitate the assessment of coherence between seismic reflection wavefields in memory. Mr. Lumb will also outline an algorithm based on RDDs that significantly reduces the impact of disk I/O in the wavefield manipulations required by RTM. The algorithm has been implementation-prototyped using Apache Spark.

About Bright Computing

Bright Computing is the leading provider of hardware-agnostic cluster and cloud management software in the world. Bright Cluster Manager® provides a unified solution for the provisioning, scheduling, monitoring, and management of HPC clusters, Hadoop clusters, and OpenStack clouds, and has a presence in more than 500 data centers around the world. Bright Computing’s customer base includes global academic, governmental, financial, healthcare, manufacturing, oil/gas/energy, and pharmaceutical organizations such as Boeing, Intel, NASA, Stanford University, and St. Jude Children’s Research Hospital. Bright partners with Amazon, Cisco, Cray, Dell, Intel, and other industry experts to bring customers the greatest access to leading-edge cluster, server and cloud technology possible.

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For more information

Bright Computing, Inc.
Mr. Lionel Gibbons
2880 Zanker Road, Suite 203
San Jose, CA 95134
USA
Tel: +1 408 337 6076

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