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<text x="400" y="60" font-family="Arial, sans-serif" font-size="24" fill="white" text-anchor="middle">Community Workshop on</text>
<text x="400" y="100" font-family="Arial, sans-serif" font-size="32" font-weight="bold" fill="white" text-anchor="middle">Practical Reproducibility in HPC</text>
<text x="400" y="130" font-family="Arial, sans-serif" font-size="16" fill="#3498db" text-anchor="middle">The 5th Chameleon User Meeting</text>
<text x="400" y="170" font-family="Arial, sans-serif" font-size="20" fill="white" text-anchor="middle">November 18, 2024 - Terminus 330, Atlanta, GA</text>
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<div class="menu-icon">☰ Menu</div>
<ul>
<li><a href="#about" class="active">About</a></li>
<li><a href="#call-for-presentations">Call for Presentations</a></li>
<li><a href="#agenda">Agenda</a></li>
<li><a href="#keynotes">Keynotes</a></li>
<li><a href="#venue">Venue</a></li>
<li><a href="#registration">Registration</a></li>
<li><a href="#contact">Contact Us</a></li>
<li><a href="#projects">Projects</a></li>
</ul>
</nav>
<main>
<section id="about" class="section active">
<h2>Welcome to the Community Workshop on Practical Reproducibility
in HPC</h2>
<p>Reproducibility in High-Performance Computing (HPC) and systems
research presents <em>unique challenges</em>. The requirements for
<strong>specialized hardware, scale, and deep
reconfigurability</strong> often make experiments extremely
difficult to reproduce. The diverse nature of HPC research further
complicates matters, with some experiments being relatively
straightforward and low-cost to replicate, while others remain
practically unfeasible. Despite these challenges, the
<strong>potential benefits of reproducibility in HPC are
immense</strong>. Examining experiments from various angles can
yield significant insights, fostering collaboration by allowing
researchers to <em>explore each other's results not just through
reading, but through hands-on experimentation</em>.</p>
<div class="callout">
<h2>Event Info</h2>
<p><strong>Date:</strong> Monday, November 18, 2024<br>
<strong>Location:</strong> Terminus 330, Atlanta, GA<br>
<strong>Time:</strong> 8:30 AM - 6:30 PM ET</p>
<a href="#registration" class="cta-button">Register Now</a>
</div>
<p>Our workshop, colocated in Atlanta with the <strong>premier <a
href="https://sc24.supercomputing.org/">annual conference
showcasing the latest innovations in supercomputing
technology</a></strong>, aims to advance the concept of
<em>practical reproducibility in HPC</em> - a practice where
<strong>reproducing results becomes a mainstream method of
scientific exploration</strong>. We will provide a forum for debate
on the tools, services, and approaches that best support
reproducibility in HPC and systems science, concluding with a
<strong>comprehensive report that captures the community's
collective knowledge and recommendations</strong> for advancing
practical reproducibility in HPC and systems research.</p>
<p>This workshop is supported by the <a
href="https://chameleoncloud.org"><strong>Chameleon
project</strong></a>, a cutting-edge cloud platform designed for
computer science research. Chameleon has been instrumental as a
platform for reproducibility in major conferences, including most
<strong>recently serving as the default platform for the <a
href="https://sc24.supercomputing.org/program/papers/reproducibility-initiative/#infrastructure-for-artifact-evaluation">SC24
Reproducibility Initiative</a></strong> as well as supporting
others like ICPE, ACM CSS, EuroSys, FAST, OSDI/ATC, and more.</p>
<p>We are excited to announce our featured keynotes from
distinguished speakers including <strong>Torsten Hoefler, Professor
of Computer Science at ETH Zurich, and Kate Keahey, Senior Computer
Scientist at Argonne National Laboratory and PI of
Chameleon</strong>. These talks will provide valuable insights into
the <em>state-of-the-art in HPC reproducibility and future
directions</em>.</p>
<h3>Workshop Objectives</h3>
<ul>
<li>Bring together authors and reviewers participating in
reproducibility initiatives associated with HPC and systems
conferences, particularly those leveraging the Chameleon
platform</li>
<li>Share experiences and discuss challenges in implementing
reproducibility in HPC environments</li>
<li>Propose and evaluate features for platforms, tools, and
services that would facilitate easier reproducibility</li>
<li>Explore innovative solutions for reproducible HPC
experiments and enabling platforms</li>
<li>Foster community practices that integrate reproducibility
into mainstream research and education</li>
<li>Establish a repository of exemplar reproducibility
artifacts in HPC</li>
</ul>
<h3>Who Should Attend</h3>
<ul>
<li>HPC researchers and practitioners</li>
<li>Participants in SC's Reproducibility Initiative and similar
programs</li>
<li>Educators interested in reproducibility in HPC
education</li>
<li>Students and early-career researchers in HPC</li>
<li>Tool and platform developers focused on
reproducibility</li>
<li>Anyone interested in advancing reproducibility in
computational science</li>
</ul>
<p>Join us for this full-day workshop as we work together to bridge
the gap between theoretical reproducibility and its practical
application in HPC research.</p>
<h3>Prior Chameleon User Meetings</h3>
<div class="gallery">
<a href="https://www.chameleoncloud.org/chameleon-cloud-users-meeting/user-meeting-2023/" class="gallery-item">
<img src="./assets/img/teaching_with_testbeds.jpg" alt="2023 4th Chameleon User Meeting">
<div class="gallery-caption">2023 4th Chameleon User Meeting</div>
</a>
<a href="https://chameleoncloud.org/chiedge-community-workshop/" class="gallery-item">
<img src="./assets/img/chi_edge.jpg" alt="2021 3rd Chameleon User Meeting">
<div class="gallery-caption">2021 3rd Chameleon User Meeting</div>
</a>
<a href="https://www.chameleoncloud.org/user-meeting-2019/" class="gallery-item">
<img src="./assets/img/Chameleon-youtube(1).png" alt="2019 2nd Chameleon User Meeting">
<div class="gallery-caption">2019 2nd Chameleon User Meeting</div>
</a>
</div>
</section>
<section id="call-for-presentations" class="section">
<h2>Call for Presentations</h2>
<p><strong>As in previous Chameleon User Meetings, the organizers will reimburse travel expenses of up to $1,500 for the presenting authors of the top 10 selected presentation abstracts (one author per abstract). Please, take a look at the Call For Presentations below for details.</strong></p>
<div class="callout">
<h3>Important Dates and Actions</h3>
<p><strong>Submission due date:</strong> October 18, 2024<br>
<strong>Acceptance notification date:</strong> October 21, 2024<br>
<strong>Send submissions to:</strong> <a href="mailto:presentations@chameleoncloud.org">presentations@chameleoncloud.org</a></p>
</div>
<h3>Presentation Proposal Guidelines</h3>
<p>Presentation proposals should be in PDF format, no longer than 2 pages, and include the following:</p>
<ul>
<li><strong>Project Description:</strong> (One paragraph or less) <br> A brief but clear description of the Computer Science experiment you are packaging or reproducing: What research problem does it address? (What is the hypothesis? What is the challenge/trade-off? Why is it significant?) How does the experiment capture this research problem?</li>
<li><strong>Reproducibility Approach: What is the description of the experiment you are either packaging or reproducing?</strong> (One paragraph or less) <br> What resources does it need and how many? How do those resources need to be configured? What is the experimental environments in which the experiment should run? How are they configured? What does the experiment body consist of? How long and in what manner is the experiment run? What types of data does it produce and how much? How is the data analyzed? What platforms or tools did you use in your experiment? </li>
<li><strong>Lessons Learned:</strong> <br> Good and bad: What were the most important obstacles to either packaging for reproducibility or reproducing the experiment you encountered – and how did you overcome them? Were they on the infrastructure level (hardware availability), configuration level (how the hardware is configured, i.e., “creating an MPI cluster”), executing the experimental workflow, managing or analyzing data? What strategies were effective? How did you decide (or what guidelines did you give to reviewers) as to when the experiment is reproduced? What suggestions or wishes do you have on how support for reproducibility should improve? Specifically, what should improve in (1) the ability to set up an experimental environment, (2) the ability to manage the experiment body, and (3) data analysis? Which of those desired capabilities are the most important ones? Any procedural insights on how to organize reproducibility initiatives?</li>
<li><strong>Impact and Future Directions:</strong> (One paragraph or less) <br> How has prioritizing reproducibility influenced your HPC research or applications? How can the HPC community better integrate reproducibility into mainstream research and education?</li>
</ul>
<h3>Selection Criteria</h3>
<p>Presentations will be selected based on their relevance to HPC-specific reproducibility challenges, the potential to foster discussion, and the insights they offer. We especially encourage submissions with detailed lessons learned, discussion of reproducibility challenges, and experience in reproducibility initiatives.</p>
<p>We particularly encourage submissions that:</p>
<ul>
<li>Have an insightful, detailed, and well-communicated "lessons learned" section</li>
<li>Have a good discussion/analysis of specific reproducibility challenges in HPC</li>
<li>Share experiences from HPC-focused reproducibility initiatives</li>
</ul>
<h3>Travel Support</h3>
<p>For the top 10 selected abstracts, we will reimburse travel expenses of up to $1,500 for the presenting authors (one per abstract). Submitting the presentation proposal doubles as travel support application.</p>
<h3>Workshop Outcomes</h3>
<p>This workshop aims to produce a report capturing the community's collective knowledge and recommendations for advancing practical reproducibility in HPC. Your presentations and participation will directly contribute to this valuable resource.</p>
<p>If you have any questions, please contact us at <a href="mailto:contact@chameleoncloud.org">contact@chameleoncloud.org</a> or via the Chameleon users list.</p>
</section>
<section id="agenda" class="section">
<h2>Coming Soon!</h2>
<p>The <strong>Community Workshop on Practical Reproducibility in
HPC</strong> will occur on Nov. 18, 2024 in Atlanta, GA - the same
week and location as this year's <a
href="https://sc24.supercomputing.org/">premier high-performance
computing conference</a>.</p>
<p>Doors will open at 8:30 AM and the event will start at 9 AM.
<strong>All attendees are invited to join us for a rooftop happy
hour at the end of the event</strong> (around 5 PM). We will send
out announcements and update this page when we have a detailed
agenda to share.</p>
<img class="content-image" src="https://static.showit.co/1600/KVQJAP3tQE-dvur-G5pIVw/205151/rooftop_3.jpg" alt="Image of the Terminus 330 Rooftop Terrance">
</section>
<section id="keynotes" class="section">
<h2>Keynotes</h2>
<p>The workshop will feature keynotes on the state of
reproducibility in HPC from our distinguished speakers.
Additionally, panel discussions with authors and reviewers who have
participated in reproducibility initiatives at HPC
and systems conferences, such as SC, will share their experiences
in creating, evaluating, and ranking HPC artifacts to support
reproducibility.</p>
<div class="speakers">
<div class="speaker">
<img src="./assets/img/hoefler_dinfk-2.jpg" alt="Torsten Hoefler" class="speaker-image">
<h3>Torsten Hoefler</h3>
<h4>Keynote: Reproducing Performance - The Good, the Bad, and the Ugly</h4>
<p class="abstract">Containers and Jupyter notebooks are useful tools for reproducing computational results of any packaged application. However, if the execution performance or efficiency is the science result, matters are more complex. It may not be sufficient to package codes in containers. In fact, containers may disturb the performance results and reproducibility. We outline a set of techniques to facilitate performance reproducibility in various settings. Some performance results may be linked to specific computer architectures or even specific system configurations that may not be accessible to other researchers or even the original team after a software update. We outline techniques to help researchers interpret results on the original system even if it is practically impossible to reproduce the original results. We discuss such techniques both in the context of pure performance but also in the context of the emerging field of data science and artificial intelligence that often allows for a performance-accuracy tradeoff. All-in-all, our work provides a set of guidelines to follow to support reproducible science of performance and benchmarking.</p>
</div>
<div class="speaker">
<img src="./assets/img/16x9_Keahey Katarzyna 33455D20_web 1.jpg" alt="Kate Keahey" class="speaker-image">
<h3>Kate Keahey</h3>
<h4>Keynote: Adaptable Infrastructures for Reproducible Science - The Chameleon 4 Approach</h4>
<p class="abstract">The landscape of computer science research is evolving at an unprecedented pace, with innovations in AI, data science, edge computing, and beyond. These advancements demand a flexible, powerful infrastructure capable of supporting a wide array of experiments while facilitating reproducibility and collaboration. Chameleon 4, the latest iteration of the NSF-funded testbed, rises to meet these challenges. In this keynote, Dr. Keahey will unveil how Chameleon 4 extends its deeply reconfigurable edge-to-cloud architecture to support emerging research needs. She will describe the testbed's enhanced virtualization capabilities, expanded edge computing functionalities, and advanced mechanisms for sharing digital artifacts. Dr. Keahey will illustrate how these features, combined with Chameleon's existing bare-metal reconfigurability and diverse hardware offerings, create an unparalleled platform for reproducible science. The talk will explore Chameleon 4's approach to federation, enabling seamless integration with other research infrastructures, and discuss how the platform's adaptability ensures it can evolve alongside the ever-changing frontiers of computer science research. Through real-world examples and future roadmaps, attendees will gain insight into how Chameleon 4 is poised to accelerate innovation and foster a more open, collaborative scientific community in the realm of HPC and beyond.</p>
</div>
</div>
</section>
<section id="venue" class="section">
<h2>See You in Atlanta!</h2>
<div class="venue-images">
<img src="./assets/img/Group 7.jpg" alt="Map to Terminus 330" class="map-image">
<img src="./assets/img/samsara_ss_atl_2019-7.jpg" alt="Terminus 330, Atlanta, GA" class="venue-image">
</div>
<div class="callout">
<p><strong>Address</strong></p>
<p>330 Marietta St NW <br>
Atlanta, GA 30313</p>
</div>
<p>The workshop will be held at <strong><a
href="https://terminus330.com/">Terminus 330</a></strong>, a
state-of-the-art venue in the heart of Atlanta, GA, conveniently
located right around the corner from the Georgia World Congress
Center where the biggest annual conference in supercomputing is
being held November 17-22, 2024.</p>
<h2>Lodging</h2>
<p>Our workshop is conveniently located in the heart of downtown
Atlanta. There are many <a
href="https://discoveratlanta.com/hotels/main/">high-quality hotels
and lodgings in the area</a>. If you are also in town for the big
HPC conference, we recommend checking out <a
href="https://sc24.supercomputing.org/attend/housing/">their
resources</a> for more options.</p>
<h2>Travel</h2>
<h3>Getting to Atlanta</h3>
<p>Atlanta is easily accessible by air and ground transportation:</p>
<ul>
<li><strong>By Air:</strong> Hartsfield-Jackson Atlanta
International Airport (ATL) is the primary airport serving
Atlanta.</li>
<li><strong>By Car:</strong> Atlanta is intersected by several
major interstate highways, making it easily accessible by car
from many parts of the United States.</li>
<li><strong>By Train:</strong> Amtrak's Crescent line serves
Atlanta, connecting it to major cities in the Northeast and New
Orleans.</li>
</ul>
<h3>Getting to the Venue</h3>
<p>Terminus 330 is located in downtown Atlanta. Here are some
options for getting to the venue:</p>
<ul>
<li><strong>From the Airport:</strong> Take the MARTA train
from the airport to downtown Atlanta. The venue is a short walk
or ride-share trip from several MARTA stations.</li>
<li><strong>By Public Transit:</strong> Atlanta's MARTA system
provides bus and rail service throughout the city. Check the <a
href="https://www.itsmarta.com/">MARTA website</a> for routes
and schedules.</li>
<li><strong>By Car:</strong> If driving, there are several
parking options near the venue. We recommend checking online
parking apps for the best rates.</li>
<li><strong>Ride-sharing:</strong> Services like Uber and Lyft
are widely available in Atlanta and can be a convenient option
for getting around the city.</li>
</ul>
<p>For more information on getting around Atlanta, visit the <a
href="https://discoveratlanta.com/explore/transportation/">official
Atlanta tourism website</a>.</p>
</section>
<section id="projects" class="section">
<h2>Our Projects</h2>
<div>
<img src="./assets/img/repeto_logo_background_transparent 1.png" alt="REPETO Project Logo" class="sponsor-logo">
<img src="./assets/img/chameleonlogo.png" alt="Chameleon Platform Logo" class="sponsor-logo">
</div>
<h3>About the <a href="https://repeto.cs.uchicago.edu">REPETO Project</a></h3>
<p>The REPETO (pronounce to rhyme with Geppetto) project is an
NSF-funded research coordination network (RCN) that promotes the
concept of <em>practical reproducibility</em>. This practice aims
to package experiments in a way that allows cost-effective
repetition, making them as accessible for exploring research as
reading papers is today.</p>
<p>Key aspects of the REPETO project include:</p>
<ul>
<li>Focus on experiments in the computer science
community</li>
<li>Understanding the cost/benefit equation of
reproducibility for these experiments</li>
<li>Identifying factors that make reproducibility difficult
or infeasible</li>
<li>Fostering community practices to integrate
reproducibility into mainstream research and education
activities in computer science</li>
</ul>
<h3>About the <a href="https://chameleoncloud.org">Chameleon Testbed</a></h3>
<p>Chameleon is an NSF-funded, large-scale, deeply programmable
experimental platform for Computer Science systems research. It
provides a configurable environment that can support a wide
range of experimental needs, from bare metal reconfiguration to
support for reproducible software environments. Chameleon
allows researchers to explore transformative concepts in cloud
computing, distributed computing, networking, and machine
learning, enabling them to experiment with novel cloud
architectures and pursue new applications of cloud computing.
With its unique features and commitment to openness, Chameleon
plays a crucial role in advancing computer science research and
education.</p>
<img src="./assets/img/USNSF_Logo_Lockup_hor_RGB_1200ppi.png" alt="NSF Logo" class="content-image">
</section>
<section id="registration" class="section">
<a
href="https://www.eventbrite.com/e/community-workshop-on-practical-reproducibility-in-hpc-tickets-1000658535617"
target="_blank" class="cta-button">Register Here</a>
<div class="registration-header">
<img src="./assets/img/Gemini_Generated_Image_uz33qzuz33qzuz33.jpg" alt="Registration Illustration" class="registration-image">
<div>
<h2>Registration Details</h2>
<p><strong>Early Bird Registration (until Sept. 30,
2024):</strong> $20</p>
<p><strong>Regular Registration (Oct. 1 - Nov. 1,
2024):</strong> $100</p>
<p><em>All registration fees will cover event-related
costs. Limited sponsorships are available to cover costs
for presenters. Eligible registrations will receive a
code.</em></p>
<p><strong>Note:</strong> Seats are limited. Register early
to secure your spot and take advantage of the early bird
discount!</p>
</div>
</div>
</section>
<section id="contact" class="section">
<h3>Contact Information</h3>
<p>For any questions or feedback, send us an email at <a
href="mailto:contact@chameleoncloud.org">contact@chameleoncloud.org</a>
or reach out to one of our <strong>event coordinators</strong>:</p>
<p>Name: Marc Richardson<br>Email: <a
href="mailto:mtrichardson@uchicago.edu">mtrichardson@uchicago.edu</a></p>
<p>Name: Roberto Vale<br>Email: <a
href="mailto:rvale@uchicago.edu">rvale@uchicago.edu</a></p>
</section>
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<h2>Sponsoring Projects</h2>
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<p>Funded by</p>
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