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As a charitable service-based nonprofit organization (NPO) coordinating individuals, businesses, academia and governments with interests in High Technology, Big Data and Cybersecurity, we bridge the global digital divide by providing supercomputing access, applied research, training, tools and other digital incentives “to empower the underserved and disadvantaged.”

SHPCP News and Announcements

  • 21 Nov 2016 2:11 PM | SHPCP (Administrator)

    79th EAGE Conference & Exhibition 2017

    12 – 15 June 2017 Paris, France

  • 11 Nov 2016 4:06 PM | SHPCP (Administrator)

    The Geophysical Society of Houston and 
    The Society of HPC Professionals

    A Lunch & Learn Round Table Discussion Meeting

    Deep Learning Platform for Seismic Data Analytics

    Abstract: The Cloud Computing Research Lab at Prairie View A&M University has been working on developing a scalable cloud platform for seismic data analytics to facilitate a variety of interpretation scenarios. The recognition of 3D complex geological features in noisy seismic datasets is a daunting challenge in pattern recognition. Early experience shows that traditional machine learning techniques such as Support Vector Machines (SVMs) and Logistic Regression may be insufficient for this task. We will present our experience of building a deep learning based seismic data analytics platform on top of Apache Spark and Google TensorFlow, and demonstrate the early results of applying Convolutional Neural Networks (CNN) on a geological fault detection case study. Moreover, we will also present the collaborative work with FEI on applying remote visualization technology to large seismic datasets that are distributed in the Spark environment. The work is sponsored by National Science Foundation. 

    Presenter’s Bio: Dr. Lei Huang is an Assistant Professor at Prairie View A&M University (PVAMU), where he is leading research at the Cloud Computing Research Lab. He also serves as Associate Director of Research in the Center of Excellence in Research and Education for Big Military Data Intelligence at PVAMU. He currently has several active research projects sponsored by NSF and DOD in Big Data Analytics, Cloud Computing and High Performance Computing areas. He joined the university in 2011 having previous experience in HPC research at the University of Houston. Huang has a Ph.D. from the Computer Science department at University of Houston in 2006. 

  • 11 Oct 2016 2:26 PM | SHPCP (Administrator)

    Visualization Infrastructure at the Campus Scale 

    > Download Slides

    : Visualization technology at Rice University shows up everywhere, from undergraduate education to advanced research and international collaboration. The University provides a varied collection of tools and facilities, as well as training, in order to provide the flexibility required by researchers and educators and their, often quite complex, workflows. In this presentation I will discuss some of the hardware and software infrastructure available on campus such as the DAVinCI visualization wall and remote visualization portal. I will also present examples of how these components are combined and used by groups on campus to streamline their efforts in teaching, research, and outreach. 

    Presenter’s Bio:
    Erik Engquist is the Visualization Manager at Rice University. In this role he provides training and support for visualization activities and infrastructure across campus. He joined the university in 2011 having previously supported visualization research at the University of Houston and the San Diego Supercomputer Center. Erik has a M.Sc. from the Royal Institute of Technology, Sweden.

  • 07 Oct 2016 4:15 PM | SHPCP (Administrator)

    The deadline to submit concept papers to the HPC4Mfg Program solicitation is 11:59 Pacific time, Friday, October 14th, 2016. Successful concept papers will be invited to submit full proposals in consultation with a national laboratory HPC scientist. Successful proposals will benefit from national laboratory High Performance Computing (HPC) expertise and capabilities dedicated to advancing clean energy innovations in US Manufacturing. Don't miss this opportunity, find solicitation details at!

    Peg Folta

    HPC4Mfg Program Director
    Lawrence Livermore National Laboratory

    7000 East Avenue, L-090
    Livermore CA, 94550 925-422-7708

  • 07 Oct 2016 8:30 AM | SHPCP (Administrator)

    2017 Oil & Gas HPC Conference
    March 15-16, 2017
    Rice University

    Submit your Abstract!

    Abstracts due by November 23, 2016.

    2017 marks the 10th anniversary for the Oil and Gas High Performance Computing (HPC) Conference, hosted annually at Rice University. The conference is the premier meeting place for the industry to engage in conversations about challenges and opportunities in high performance computing, information technology, computational science and engineering, and data science. Attended by 500+ leaders from the oil and gas industry, academia, national labs, and IT industry, this is a unique opportunity to engage key stakeholders.

    The Program Committee is pleased to invite you to submit a technical abstract(s) to be considered for the conference program. The conference is structured with keynote and plenary presentations and thematically organized parallel sessions. The 2016 themes were:Algorithms & Accelerators I; Algorithms & Accelerators II; Facilities, Infrastructure & Visualization; Data Analytics Approaches and Tools; a Disruptive Technology track featuring lightning tech-talks on emerging technologies; and a student poster session.

    Technical themes for the 2017 conference sessions will be determined based on the diversity and strengths of the abstracts accepted. In addition to regular conference abstracts we also encourage students to submit poster abstracts on their HPC graduate research.

    High-performance computing, computational science and engineering, data science, and information technology continue to stand out across the oil and gas industry as critical business enablers. With Moore’s law as we know it coming to an end, challenges are mounting around a rapidly changing technology landscape. Challenges also represent opportunities and the need for investments in people (workforce), algorithms, software innovations, and hardware platforms to support system scalability and demands for increasing digitization in a tough oil & gas market. In light of these challenges and opportunities we invite abstracts in the following areas:

    • Big data and machine learning in oil & gas
    • Making exascale a reality in oil & gas
    • Distributed data management
    • Data visualization (local, distributed & remote)
    • High performance i/o and file systems
    • Programming models and examples for heterogeneous/hybrid system architectures
    • Parallel software development and tools
    • Algorithms and scalability
    • HPC facilities and infrastructure scaling
    • Clouds for scale-up and scale-out technical computing
    • Curriculum, education and training – what skill set does the industry need moving forward?
    • Open Source – can industry better leverage open source and DevOps?

    The Program Committee is looking for abstracts that are directly relevant to needs of the oil and gas industry. We hope to attract a broad set of abstracts, and are open to submissions beyond the topics listed. Abstracts that come across as marketing will be rejected without further review. In cases where you think a marketing message may be a concern, we strongly encourage you to partner with a customer and highlight users and relevant use-cases.

    Submit your Abstract!

  • 22 Sep 2016 2:22 PM | SHPCP (Administrator)

    AGERpoint is seeking a Lead High Performance/Throughput Computing Architect/Engineer with a history of cutting-edge advancements in developing HPC and HTC environments. This is a unique opportunity for a well-qualified, creative candidate to produce a custom solution for AGERpoint’s massive computational requirements from the ground up. The HPC Engineer will produce an intelligent optimization system utilizing AGERpoint’s vast computational resources to generate real-time intelligence from seriously big data (multiple petabytes).

    Click HERE for more information.

  • 09 Sep 2016 9:08 AM | SHPCP (Administrator)

    The Geophysical Society of Houston and
    The Society of HPC Professionals
    -- invites you to attend:

    A Lunch & Learn Round Table Discussion Meeting

    The Future of High Performance and Supercomputing and the Geoscience Computing SIG 

    Abstract: Those of us inside the industry understand that high performance and supercomputing (HPC) technology is causing a paradigm shift across the entire computing community. Today, HPC technology is enhancing productivity and efficiency in businesses as diverse as Oil&Gas exploration, manufacturing, precision agriculture, and retail sales. Unfortunately, few people, stop to consider – or quantify – the macroeconomic payoff that can occur with the help of high performance computers and vast amounts of data. 

    Today we will attempt to outline future directions in Five HPC Topic tracks: Administration, Algorithms, Storage, Network & Communications, & Visualization. Future Lunch&Learn meetings we will do a deep dive in one of the topic tracks. 

    Presenter’s Bio: 
    Earl J. Dodd (♂) as a Supercomputing Strategist, leverages the high performance computing (HPC) landscape and applies his specialized genius to find and fulfill the Client’s unexpected needs to create a safer, cleaner world. 

    With over 32 years of experience in Supercomputing, HPC, and Big Data, and a strong ability to problem solve and formulate strategy, Mr. Dodd helps companies and governments achieve their desired ROI by leveraging evolving computing technologies (e.g., the Internet of Things) and business models (e.g., Cloud Computing). Mr. Dodd's technical focus is on strategy formulation for secure ultra-scale architectures and 3D visual collaboration environments leveraging the cloud computing business model. These strategies help drive the next generation of computationally-steered workflows, applications and decision support environments for true situational awareness and learning environments. 

    Mr. Dodd holds degrees in Mining Engineering and an MBA. He is actively engaged with the U.S. Council on Competitiveness, White House Office of Science & Technology Policy, president of the Society of HPC Professionals, Compute Canada, Ontario Ministry of Research & Innovation (MRI) and other professional organizations and governments.

  • 25 Aug 2016 4:00 PM | SHPCP (Administrator)


    Big Data–No Problem; Big Analysis in a secure environment-Problem!


    August 25th, 2016

    Earl Dodd, President, Ideas and Machines

    Dr. Shawana P. Johnson, GISP, President

    Global Marketing Insights, Inc.


  • 16 Aug 2016 11:13 AM | SHPCP (Administrator)
    Click the links below to review the recent Women in Cybersecurity monthly webinar.

    August 2016 Webinar Recording

    August 2016 Webinar Slides

  • 15 Aug 2016 3:35 PM | SHPCP (Administrator)

    A new report entitled “Artificial Intelligence in Communications, Applications, and Commerce: Internet of Things (IoT), Data Analytics, and Virtual Private Assistants 2016 - 2021 - Research and Markets” was made possible with the help of members of the Society of HPC Professionals who were interviewed for the report. More information on this report is online at