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Mar
21
2017

Mark Miller, Lawrence Livermore National Laboratory, Guest Blogger The HDF5 library has supported the I/O requirements of HPC codes at Lawrence Livermore National Labs (LLNL) since the late 90’s. In particular, HDF5 used in the Multiple Independent File (MIF) parallel I/O paradigm has supported LLNL code’s scalable I/O requirements and has recently been gainfully used at scales as large as 1,000,000 parallel tasks. What is the MIF Parallel I/O Paradigm? In the MIF paradigm, a computational object (an array, a mesh, etc.) is decomposed into pieces and distributed, perhaps unevenly, over parallel tasks. For I/O, the tasks are organized into groups and each group writes one file using round-robin exclusive access for the tasks in the group. Writes within groups are serialized but...

Nov
17
2016

Release of HDF5-1.8.18 (Newsletter #152) - 11/16/16 Release of HDF Java Products for HDF5-1.8 (HDFView 2.13, HDF JNI 3.2.1) (Newsletter #151) - 7/25/16 Release of HDF 4.2.12 (Newsletter #150) - 6/30/16 Release of HDF5-1.10.0-patch (Bulletin) - 5/26/16 Release of HDF5-1.8.17 (Newsletter #149) - 5/13/16 Release of HDF5-1.10.0 (Newsletter #148) - 3/31/16 ...

Nov
03
2016

David Pearah, The HDF Group Hello again, HDF User Community, As I mentioned in my last blog post -- HDF: The Next 30 Years (Part 2) -- we're looking for ways to better engage our users, which includes providing better tools for you to get support from the HDF Community.  We are looking for your input on three things: the HDF User Forum, Roadmap for HDF5, and Focus Groups - please take a few minutes to complete these short surveys and let us know what you think! Discussion Board and Listserv Forum Feedback:  LINK  We currently provide a listserv as the primary way that folks post questions and feedback to the community, and we would like your feedback since we're looking at web-based tools to complement or...

Sep
16
2016

The HDF Group’s HDF Server has been nominated for Best Use of HPC in the Cloud, and Best HPC Software Product or Technology in HPCWire’s 2016  Readers’ Choice Awards. HDF Server is a Python-based web service that enables full read/write web access to HDF data – it can be used to send and receive HDF5 data using an HTTP-based REST interface. While HDF5 provides powerful scalability and speed for complex datasets of all sizes, many HDF5 data sets used in HPC environments are extremely large and cannot easily be downloaded or moved across the internet to access data on an as-needed basis.  Users often only need to access a small subset of the data.  Using HDF Server, data can be kept in one...

Aug
17
2016

David Pearah, The HDF Group Hello HDF Community! Thanks for the warm welcome into the HDF family: in my 4+ months as the new CEO, I've been blown away by your passion, diversity of interests and applications, and willingness to provide feedback on:  1. why you use HDF5?, and  2. how can HDF5 be improved? I also want to thank my predecessor Mike Folk for his invaluable and ongoing support. The HDF community is growing fast: when I last checked, there are nearly 700 HDF5 projects in GitHub! I've had the privilege of connecting via phone/web with dozens of you over the past few months. Across all of my discussions, one piece of feedback came back loud and clear: The HDF Group needs to be more engaged with its users and help foster...

Aug
17
2016

DOE has continued to partner with The HDF Group, supporting development of HDF5 through two generations of computing; sponsoring this development has benefited the entire HDF5 user community. Today, DOE supports current HDF5 R&D to ensure that the data challenges of third generation exascale computing ...

Apr
12
2016

Pearah joins The HDF Group as new Chief Executive Officer

Champaign, IL — The HDF Group today announced that its Board of Directors has appointed David Pearah as its new Chief Executive Officer. The HDF Group is a software company dedicated to creating high performance computing technology to address many of today’s Big Data challenges.

Pearah replaces Mike Folk upon his retirement after ten years as company President and Board Chair. Folk will remain a member of the Board of Directors, and Pearah will become the company’s Chairman of the Board of Directors.

Pearah said, “I am honored to have been selected as The HDF Group’s next CEO. It is a privilege to be part of an organization with a nearly 30-year history of delivering innovative technology to meet the Big Data demands of commercial industry, scientific research and governmental clients.”

Industry leaders in fields from aerospace and biomedicine to finance join the company’s client list.  In addition, government entities such as the Department of Energy and NASA, numerous research facilities, and scientists in disciplines from climate study to astrophysics depend on HDF technologies.

Pearah continued, “We are an organization led by a mission to make a positive impact on everyone we engage, whether they are individuals using our open-source software, or organizations who rely on our talented team of scientists and engineers as trusted partners. I will do my best to serve the HDF community by enabling our team to fulfill their passion to make a difference.  We’ve just delivered a major release of HDF5 with many additional powerful features, and we’re very excited about several innovative new products that we’ll soon be making available to our user community.”

“Dave is clearly the leader for HDF’s future, and