Initial attempt to move HPC-BP webinar artifacts to Jekyll site

Most of these had been in the Wordpress site media library.  Converted events are in the events-draft collection until we confirm that we've got everything.

_events-draft/hpcbp-001-all-codes.md

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+---
+startdate: "2016-05-04"
+time: "01:00 pm - 02:00 pm EDT"
+type: Webinar
+series:
+  - "HPC Best Practices Webinars"
+activities:
+  - "IDEAS-Classic"
+link-id: webinar001
+#
+presenters:
+  - name: Anshu Dubey
+    affiliation: Argonne National Laboratory
+    github-id: adubey64
+    bio: "Anshu Dubey is a Computer Scientist in the Mathematics and Computer Science Division at Argonne National Laboratory and a Senior Scientist in the Department of Computer Science at the University of Chicago. She is the chief software architect for FLASH, a multiphysics multiscale HPC software that is used by several science and engineering domains as their community code. She is interested in all aspects of HPC scientific software with special emphasis on design, productivity, and sustainability issues."
+#
+webinar-id: 1
+date: 2016-05-04T13:00-0500
+title: "What All Codes Should Do:  Overview of Best Practices in HPC Software Development"
+presenter-ids: [dubey-anshu]
+artifacts:
+  - label: Recording
+    format: YouTube
+    yt-video-id: YJi05p4n1Gc
+  - label: Slides
+    format: PDF
+    url: /assets/artifacts/hpcbp/webinar001-160504-dubey-overview.pdf
+#
+location: online
+#
+---
+Scientific code developers have increasingly been adopting software
+processes derived from the mainstream (non-scientific) community.
+Software practices are typically adopted when continuing without them
+becomes impractical. However, many software best practices need
+modification and/or customization, partly because the codes are used
+for research and exploration, and partly because of the combined
+funding and sociological challenges. This presentation will describe
+the lifecycle of scientific software and important ways in which it
+differs from other software development.  We will provide a
+compilation of software engineering best practices that have generally
+been found to be useful by science communities, and we will provide
+guidelines for adoption of practices based on the size and the scope
+of the project.
+

_events-draft/hpcbp-002-hpc-software.md

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+---
+startdate: "2016-05-18"
+time: "01:00 pm - 02:00 pm EDT"
+type: Webinar
+series:
+  - "HPC Best Practices Webinars"
+activities:
+  - "IDEAS-Classic"
+link-id: webinar002
+#
+presenters:
+  - name: Barry Smith
+    affiliation: Argonne National Laboratory
+    github-id: BarrySmith
+#
+webinar-id: 2
+date: 2016-05-18T13:00-0500
+title: "Developing, Configuring, Building, and Deploying HPC Software"
+presenter-ids: [smith-barry]
+artifacts:
+  - label: Recording
+    format: YouTube
+    yt-video-id: pnH7JycpfiY
+  - label: Slides
+    format: PDF
+    url: /assets/artifacts/hpcbp/webinar002-MakeConfigureIDE.pdf
+#
+location: online
+#
+---
+The process of developing HPC software requires consideration of
+issues in software design as well as practices that support the
+collaborative writing of well-structured code that is easy to
+maintain, extend, and support.  This presentation will provide an
+overview of development environments and how to configure, build, and
+deploy HPC software using some of the tools that are frequently used
+in the community.  We will also discuss ways in which these and other
+tools are best utilized by various categories of scientific software
+developers, ranging from small teams (for example, a faculty member
+and graduate students who are writing research code intended primarily
+for their own use) through moderate/large teams (for example,
+collaborating developers spread among multiple institutions who are
+writing publicly distributable code intended for use by others in the
+community).

_events-draft/hpcbp-003-vc-ci.md

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+---
+startdate: "2016-06-02"
+time: "01:00 pm - 02:00 pm EDT"
+type: Webinar
+series:
+  - "HPC Best Practices Webinars"
+activities:
+  - "IDEAS-Classic"
+link-id: webinar003
+#
+presenters:
+  - name: Jeff Johnson
+    affiliation: Lawrence Berkeley National Laboratory
+    github-id: jnjohnsonlbl
+#
+webinar-id: 3
+date: 2016-06-02T13:00-0500
+title: "Distributed Version Control and Continuous Integration Testing"
+presenter-ids: [johnson-jeff]
+artifacts:
+  - label: Recording
+    format: YouTube
+    yt-video-id: cqH-PIRpnRo
+  - label: Slides
+    format: PDF
+    url: /assets/artifacts/hpcbp/webinar003-HPC-Session3.pdf
+#
+location: online
+#
+---
+Recently, many tools and workflows have emerged in the software
+industry that have greatly enhanced the productivity of development
+teams. GitHub, a site that hosts projects in Git repositories, is a
+popular platform for open source and closed source projects.  GitHub
+has encoded several best practices into easily followed procedures
+such as pull requests, which enrich the software engineering
+vocabularies of non-professionals and professionals alike.  GitHub
+also provides integration to other services (for example, continuous
+integration such as Travis CI, which allows code changes to be
+automatically tested before they are merged into a master development
+branch).  This presentation will discuss how to set up a project on
+GitHub, illustrate the use of pull requests to incorporate code
+changes, and show how Travis CI can be used to boost confidence that
+changes will not break existing code.

_events-draft/hpcbp-004-testing-documentation.md

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+---
+startdate: "2016-06-15"
+time: "01:00 pm - 02:00 pm EDT"
+type: Webinar
+series:
+  - "HPC Best Practices Webinars"
+activities:
+  - "IDEAS-Classic"
+link-id: webinar004
+#
+presenters:
+  - name: Alicia Klinvex
+    affiliation: Sandia National Laboratories
+    github-id: amklinv
+#
+webinar-id: 4
+date: 2016-06-15T13:00-0500
+title: "Testing and Documenting your Code"
+presenter-ids: [klinvex-alicia]
+artifacts:
+  - label: Recording
+    format: YouTube
+    yt-video-id: kAC0N84JaHA
+  - label: Slides
+    format: PDF
+    url: /assets/artifacts/hpcbp/webinar004-testing-klinvex.pdf
+#
+location: online
+#
+---
+Software verification and validation are needed for high-quality and
+reliable scientific codes. For software with moderate to long
+lifecycles, a strong automated testing regime is indispensable for
+continued reliability. Similarly, comprehensive and comprehensible
+documentation is vital for code maintenance and extensibility. This
+presentation will provide guidelines on testing and documentation that
+can help to ensure high-quality and long-lived HPC software. We will
+present methodologies, with examples, for developing tests and
+adopting regular automated testing. We also will provide guidelines
+for minimum, adequate, and good documentation practices depending on
+the available resources of the development team.

_events-draft/hpcbp-005-hpc.md

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+---
+startdate: "2016-07-14"
+time: "01:00 pm - 02:00 pm EDT"
+type: Webinar
+series:
+  - "HPC Best Practices Webinars"
+activities:
+  - "IDEAS-Classic"
+link-id: webinar005
+#
+presenters:
+  - name: Katherine Riley
+    affiliation: Argonne Leadership Comptuting Facility
+    github-id: kmriley
+#
+webinar-id: 5
+date: 2016-07-14T13:00-0500
+title: "How the HPC Environment is Different from the Desktop (and Why)"
+presenter-ids: [riley-katherine]
+artifacts:
+  - label: Recording
+    format: YouTube
+    yt-video-id: rNHd6rbvxro
+  - label: Slides
+    format: PDF
+    url: /assets/artifacts/hpcbp/webinar005-supercomputers.pdf
+#
+location: online
+#
+---
+High performance computing has transformed how science and engineering
+research is conducted.  Answering a question in 30 minutes that used
+to take 6 months can quickly change the way one asks questions.  Large
+computing facilities provide access to some of the world’s largest
+computing, data, and network resources in the world.  Indeed, the DOE
+complex has the highest concentration of supercomputing capability in
+the world.  However, by nature of their existence, making use of the
+largest computers in the world can be a challenging and unique
+task. This talk will discuss how supercomputers are unique and explain
+how that impacts their use.

_events-draft/hpcbp-006-parallel-io.md

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+---
+startdate: "2016-07-28"
+time: "01:00 pm - 02:00 pm EDT"
+type: Webinar
+series:
+  - "HPC Best Practices Webinars"
+activities:
+  - "IDEAS-Classic"
+link-id: webinar006
+#
+presenters:
+  - name: Feiyi Wang
+    affiliation: Oak Ridge Leadership Computing Facility
+    github-id: fwang2
+    bio: "Feiyi Wang received his Ph.D. in Computer Engineering from North
+Carolina State University (NCSU). Before he joined Oak Ridge National
+Laboratory as research scientist, he worked at Cisco Systems and
+Microelectronic Center of North Carolina (MCNC) as a lead developer
+and principal investigator for several DARPA-funded projects.  His
+current research interests include high performance storage system,
+parallel I/O and file systems, fault tolerance and system simulation,
+and scientific data management and integration.  Dr. Wang is a Joint
+Faculty Professor at EECS Department of University of Tennessee and a
+senior member of IEEE."
+#
+webinar-id: 6
+date: 2016-07-28T13:00-0500
+title: "An Introduction to High-Performance Parallel I/O"
+presenter-ids: [wang-feiyi]
+artifacts:
+  - label: Recording
+    format: YouTube
+    yt-video-id: amknrPhFs-8
+  - label: Slides
+    format: PDF
+    url: /assets/artifacts/hpcbp/webinar006-2016_HPC_IO_Intro.pdf
+#
+location: online
+#
+---
+Parallel data management is a complex problem at large-scale HPC
+environments. The HPC I/O stack can be viewed as a multi-layered cake
+and presents an high-level abstraction to the scientists. While this
+abstraction shields the users from many of the I/O system details, it
+is very hard to obtain parallel I/O performance or functionality
+without understanding the end-to-end hierarchical I/O stack in today’s
+modern complex HPC environments. This talk will introduce the basic
+parallel I/O concepts and will provide guidelines on obtaining better
+I/O performance on large-scale parallel platforms.

_events-draft/hpcbp-007-performanceanalysis.md

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+---
+startdate: "2016-08-09"
+time: "01:00 pm - 02:00 pm EDT"
+type: Webinar
+series:
+  - "HPC Best Practices Webinars"
+activities:
+  - "IDEAS-Classic"
+link-id: webinar007
+#
+presenters:
+  - name: Jack Deslippe
+    affiliation: Lawrence Berkeley National Laboratory
+    github-id: jdeslip
+#
+webinar-id: 7
+date: 2016-08-09T13:00-0400
+title: Basic Performance Analysis and Optimization – An Ant Farm Approach
+presenter-ids: [deslippe-jack]
+artifacts:
+  - label: Recording
+    format: YouTube
+    yt-video-id: -qxJf6YJ3fc
+  - label: Slides
+    format: PDF
+    url: /assets/artifacts/hpcbp/webinar007-160809-deslippe-antfarm.pdf
+#
+location: online
+#
+---
+How is optimizing HPC applications like an Ant Farm? Attend this
+presentation to find out. We’ll discuss the basic concepts around
+optimizing code for the HPC systems of today and tomorrow. These
+systems require codes to effectively exploit both parallelism between
+nodes and an ever growing amount of parallelism on-node. We’ll discuss
+profiling strategies, tools (for profiling and debugging) and common
+issues with both internode communication and on-node parallelism. We
+will give an overview of traditional optimizations areas in HPC
+applications like parallel IO and MPI strong and weak scaling as well
+as topics relevant for modern GPU and many-core systems like
+threading, SIMD/AVX, SIMT and effectively using cache and memory
+hierarchies. The “Ant Farm” approach places a heavy emphasis on the
+roofline performance model and encouraging users to understand the
+compute, bandwidth and latency sensitivity of their applications and
+kernels through a series of easy to perform experiments and an easy to
+follow flow chart. Finally, we’ll discuss what we expect to change in
+the optimization process as we move towards exascale computers.

_events-draft/hpcbp-008-python.md

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+---
+startdate: "2017-06-07"
+time: "01:00 pm - 02:00 pm EDT"
+type: Webinar
+series:
+  - "HPC Best Practices Webinars"
+activities:
+  - "IDEAS-ECP"
+link-id: webinar008
+#
+presenters:
+  - name: Rollin Thomas
+    affiliation: National Energy Research Scientific Computing Center
+    github-id: rcthomas
+    bio: "Rollin Thomas is a Big Data Architect in the Data
+and Analytics Services group. Prior to joining NERSC in 2015, he was a
+Staff Scientist in the Computational Research Division.  He has worked
+on numerical simulations of supernova atmospheres, observation and
+analysis of supernova spectroscopy data, and data management for
+supernova cosmology experiments.  Rollin has served as a member of the
+Nearby Supernova Factory, is a builder on the Dark Energy Survey, and
+is a full member of the Large Synoptic Survey Telescope Dark Energy
+Science Collaboration.  He holds a B.S. in physics from Purdue
+University and a Ph.D. in astrophysics from the University of
+Oklahoma."
+  - name: William Scullin
+    affiliation: Argonne National Laboratory
+    github-id: wscullin
+    bio: "William Scullin is an Assistant Computational
+Scientist Argonne Leadership Computing Facility. He is a HPC systems
+expert and computational generalist with a strong background in
+systems administration who enables science through skillful
+utilization of some of the largest supercomputers on Earth. He was an
+active developer and evangelist of Python software and tools to
+improve system and scientific productivity in HPC environments."
+  - name: Matt Belhorn
+    affiliation: Oak Ridge National Laboratory
+    github-id: mpbelhorn
+    bio: "Matt Belhorn is an HPC support specialist,
+providing technical support and training to researchers employing the
+OLCF’s leadership-class public research compute resources. Matt has a
+research background in experimental high-energy particle physics. He
+was a long-time collaborator of the Belle and BelleII CP-violation
+experiments located at the Japanese High-Energy Accelerator Research
+Organization (KEK). His research efforts include contributions to the
+design and construction of BelleII’s Imaging Time-of-Propagation
+(iTOP) counter. Matt developed his interest in high-performance
+computing while analyzing the physics of spontaneous
+particle-antiparticle oscillations."
+#
+webinar-id: 8
+date: 2017-06-07T13:00-0400
+title: "Python in HPC"
+presenter-ids: [thomas-rollin, scullin-william, belhorn-matt]
+artifacts:
+  - label: Recording
+    format: YouTube
+    yt-video-id: lSrfZHu3BZw
+  - label: Slides
+    format: PDF
+    url: /assets/artifacts/hpcbp/webinar008-IDEAS-Python-in-HPC-Thomas-Scullin-Belhorn.pdf
+  - label: Q&A
+    format: PDF
+    url: /assets/artifacts/hpcbp/PythoninHPCGoogleDoc.pdf
+#
+location: online
+#
+---
+Python’s powerful elegance has driven its adoption at HPC centers for
+job orchestration, visualization, exploratory data analysis, and even
+simulation.  But maximizing performance from Python applications can
+be challenging especially on supercomputing architectures.  This
+webinar will explain those challenges with a practical emphasis on
+using Python at NERSC, ALCF, and OLCF.  We will outline a variety of
+performance optimization strategies, tools for measuring and
+addressing performance problems, and establish best practices for
+Python in HPC.