National Science Foundation Selects the Kahlert School to Serve as the Site for Engaging Undergraduates in Research on Trust and Reproducibility of Intelligent Computation

The National Science Foundation has awarded a prestigious new research experience for undergraduates (REU) site to the Kahlert School of Computing entitled Trust and Reproducibility of Intelligent Computation (TREU). Led by Principal Investigator Prof. Ganesh Gopalakrishnan and Co-Principal Investigator and Director of the School Prof. Mary Hall (pictured above), the TREU REU site will train undergraduate students over 10 weeks during each of its three years. The selected students will learn valuable technical and soft skills to help them to become future leaders in the field of intelligent computational research. 

Several Kahlert School of Computing faculty will be involved as instructors at the new TREU site. 

Top Row: Profs. Bhaskara, Eide, Elhabian

Middle Row: Profs. Phillips, Sadayappan, Sundar

Bottom Row: Profs Wiese, Wiese, Zhang

“TREU offers our trainees a unique opportunity to learn about four prominent driving forces behind today's scientific research and connected living, namely high-performance computing and machine learning, cloud, and wireless networking. These topics are prominently represented at the Kahlert School through world-class faculty members and state-of-the-art research facilities. The learning experience will be contextualized and delivered around the themes of responsible research and inclusion.”

- Prof. Ganesh Gopalakrishnan, Principal Investigator

The TREU program will introduce trainees to the basics of many exciting and crucially important computer science research areas. The program emphasizes hands-on demonstration of these technologies and methods to enhance trust and reproducibility. In addition to a wide variety of technical skills, the program will equip trainees to apply the skills in an ethical, inclusive manner.

Students will gain exposure to several concepts throughout the program. Highlights include High-Performance Computing (HPC), image classification using machine learning, advanced wireless networking in the context of the POWDER project, ethics & inclusion, and research training. For a more detailed description of course modules, please visit https://treu.cs.utah.edu/. In addition, trainees will have frequent opportunities to help build their social and academic network while taking advantage of Utah’s abundant and unique natural resources. 

 “TREU allows the Kahlert School of Computing to build on the multi-million dollar research infrastructure that is University of Utah is uniquely blessed with thanks to prior flagship NSF projects such as Cloudlab and POWDER. We are excited to invite top students from across the nation to spend ten weeks on our beautiful campus over three successive years, and experience world-class research in a picture postcard setting. As is well-known, individuals who have spent time at the University of Utah are our best long-term ambassadors.”

 - Prof. Mary Hall, Director, Co-Principal Investigator

TREU welcomes applications from undergraduates across the country at all levels. Students from backgrounds underrepresented in computer science, sophomores or juniors with knowledge of computer science basics, and students interested in graduate school are especially encouraged to apply. Applications close on April 15, 2023.


50th Anniversary of Computing at the University of Utah and IEEE Milestone Event

50th Anniversary of Computing at the University of Utah and IEEE Milestone Event (March 23-24, 2023). This once-in-a-lifetime two-day event, which is open to the public, will be held in the ballroom of the University of Utah’s Cleone Peterson Eccles Alumni House, 155 S. Central Campus Drive, in Salt Lake City, Utah. Click here for event information and to RSVP. Events both days will also be livestreamed on the University of Utah’s YouTube channel at www.youtube.com/@universityofutah/streams.

Historic Celebrations

On Thursday, March 23, beginning at 10 a.m. MDT, the Kahlert School of Computing will be celebrating its 50th anniversary with a day-long series of talks and panel discussions about the past, present, and future of one of the country’s top-ranked computer science departments. Speakers will include Sutherland and Telle Whitney, co-founder of Grace Hopper Celebration of Women in Computing and Former CEO of the Anita Borg Institute.

The main event, hosted by the John and Marcia Price College of Engineering and IEEE, begins Friday, March 24 MDT, at 10 a.m. Catmull (co-founder of Pixar Animation), Warnock (co-founder of Adobe), Kay (Xerox PARC), Sutherland, Clark (founder of Netscape and Silicon Graphics) and other legendary researchers including Martin Newell, Jim Blinn, Henry Fuchs and Henri Gouraud will speak and participate in panel discussions about their beginnings at the U.

The morning session will conclude with the presentation of a bronze IEEE Milestone plaque to the University of Utah for its contributions to the development of computer graphics. The plaque will be installed on a granite pedestal on the south lawn of the Merrill Engineering Building. IEEE, the world’s largest professional technical organization, will present the plaque to John and Marcia Price College of Engineering Dean Richard B. Brown and Kahlert School of Computing Director Mary Hall.

Graphics Pioneers

They were a group of young, scrappy, but brilliant University of Utah computer science students and professors who changed the world.

Ed Catmull. John Warnock (pictured). Jim Clark. Alan Kay. Ivan Sutherland. Martin Newell. They are a just a handful of the luminaries in the late 1960s and 1970s who revolutionized computer graphics by inventing technologies that have aided and shaped countless industries today.

The “Camelot Era”

Led by then computer science professor Ivan Sutherland and David Evans (pictured, right), the University of Utah’s first computer science research program in graphics and interactive computing, these trailblazing graduate students researched and developed ground-breaking innovations in 3D objects and computer animation decades before “Toy Story.” Many have later called this nascent period at the U the “Camelot Era.”

From Martin Newell’s first 3D rendering of a ceramic teapot (famously known as the “Utah Teapot”) and Ivan Sutherland’s 3D model of his old Volkswagen Beetle, to Ed Catmull’s 3D animation of his own hand, these early advances in computer modeling would ignite a revolution that would lead to computer simulations, medical imaging, computer molecular graphics, computer-animated movies, video games and more.

As author Robert Rivlin wrote in his The Algorithmic Image: Graphic Visions of the Computer Age: “Almost every influential person in the modern computer-graphics community either passed through the University of Utah or came into contact with it in some way.”

“The late David Evans was a true visionary to create a center of excellence in computer graphics and interactive computing in the mid 1960s,” said Kahlert School of Computing Director Mary Hall. “Early on, the atmosphere for creative innovation attracted the extraordinarily talented faculty, including Ivan Sutherland and Burroughs computer architect Bob Barton, and success followed from there.”

In the afternoon, beginning at 1:45 p.m. MDT, the College of Engineering will host a symposium in which these same graphics luminaries will give longer talks on their pioneering work.

“People interested in computing would love to hear from any one of these visionaries who launched the computer graphics revolution, but in this event, we will hear from a dozen of them!” Brown said. “It will be amazing!”

List of Speakers

James Blinn, Ph.D., 1978 — Created specular lighting models, bump mapping and environment mapping for surface textures in graphical images.

Ed Catmull, Ph.D., 1974 — Pioneer in computer animation who co-developed RenderMan rendering software. Co-founder of Pixar Animation Studios and winner of five Academy Awards.

Jim Clark, Ph.D., 1974 — Rebuilt the head-mounted display and 3D wand to see and interact with 3D graphic spaces. Founder of Netscape and Silicon Graphics.

Henry Fuchs, Ph.D., 1975 — Innovator in high-performance graphics hardware, 3D medical imaging and head-mounted display and virtual environments.

Henri Gouraud, Ph.D., 1971 — Created the Gouraud shading method for polygon smoothing — a simple rendering method that dramatically improved the appearance of 3D objects.

Alan Kay, Ph.D., 1969 — Envisioned the windowing graphical user interface at Xerox PARC, which led to the design of Apple MacIntosh and Windows computers.

Martin Newell, Ph.D., 1975 — Developed procedural modeling for 3D object rendering.

Co-developed the Painter’s algorithm for surface rendering.

Rodney Rougelot — Former president and chief executive officer of Salt Lake City-based Evans & Sutherland, which then developed military and aviation simulators with 3D graphics.

Robert A. Schumaker — An engineer with Evans & Sutherland who conceived a new architecture for rendering complex, high-quality 3D images for its flight simulators.

Alvy Ray Smith — Co-founder of Pixar Animation Studios. First Director of Computer Graphics for George Lucas’ Lucasfilm.

Ivan Sutherland, U Computer Science Professor, 1968-1974 — Inventor of Sketchpad, the first interactive graphics program with geometric constraints. Co-founded Evans & Sutherland with David Evans.

John Warnock, Ph.D., 1969 — Developed the Warnock recursive subdivision algorithm for hidden surface elimination. Co-founder of Adobe, which developed the Postscript language for desktop publishing and is now one of the largest software brands in the world.


50th Anniversary Celebration and IEEE Milestone

Celebrate our 50th anniversary and IEEE Milestone, March 23-24


An individual is shown using an electric wheelchair in an urban environment

Prof. Jason Wiese Receives Google Award for Inclusion Research

Professor Jason Wiese of the Kahlert School of Computing

Kahlert School of Computing Assistant Professor Jason Wiese is a recipient of the 2022 Google Research Award for Inclusion Research aimed at developing personal tracking technology that addresses a major challenge faced by power wheelchair users: avoiding pressure ulcers. The research supported by the US $60K grant from Google will address the challenges they uncovered in their previous work in which they conducted interviews with users of powered wheelchairs to understand their experiences in adhering to the clinical recommendations and performing pressure reliefs throughout their days. 

Personal tracking technologies, such as the activity trackers found on many phones and smartwatches, diet tracking applications, symptom trackers, and personal finance tools, have become commonplace. People use these technologies to gain better self-insight and make or sustain changes that improve their lives. Early versions of these tools typically focused on activities such as counting steps, which excluded people who use a wheelchair. 

Over time, these tools have become more inclusive, for example, by adding the ability to track wheelchairs propelled manually by their users. However, as Professor Wiese’s recent work has shown, users of powered wheelchairs remain excluded from such personal tracking technologies and from research in general. To address this disparity, Prof. Wiese and his Ph.D. student Tamanna Motahar are collaborating with the Nielsen Rehabilitation Hospital to design and implement personal tracking technology with the goal of exploring better ways to serve users of powered wheelchairs.  Professor Wiese explains: “Our goal is to make sure we design technology to specifically serve people who use powered wheelchairs, rather than assume that their needs are addressed by solutions that work for those who use manual wheelchairs or those without disabilities.” The research will leverage the incredible potential for technology designed with and for those who use powered wheelchairs and create a positive impact on their lives. 

One major application for such technology relates to pressure ulcers, a common issue faced by individuals who use wheelchairs of all sorts. The mechanism behind a pressure ulcer is similar to bed sores, which can occur if someone lays in a bed for too long without getting out or changing position. In the context of wheelchairs, pressure ulcers can occur if somebody sits in their wheelchair for too long without changing position, shifting weight, or getting out. While users of manual wheelchairs and people with sufficient upper-body strength can do stretches or shift their weight to relieve pressure, it’s more complicated for people who have less upper body strength or function. In these cases, a “pressure relief” often requires tilting the chair back to a 45-degree angle for two minutes so that weight is shifted onto the person’s back. 

Current clinical guidelines suggest that the procedure be performed every twenty minutes while a person is in the wheelchair, resulting in an estimated 30-50 pressure reliefs per day. Yet, people in wheelchairs may intentionally skip a pressure relief if it is infeasible or socially awkward to perform it in a given situation, such as being in a crowded place, traveling in a vehicle, participating in a meeting, etc. Often, they miss a pressure relief because they simply forget.

Wiese and Motahar will tackle this problem by exploring solutions for detecting pressure reliefs as well as providing users of power wheelchairs with real-time context-aware reminders and feedback. Their goal is to enable these individuals to view and reflect on their own behavior and its effect on their health and wellbeing.


Award-Winning Tentacle Robots Help Create Less Invasive Surgeries

Assistant professor Alan Kuntz and recent PhD graduate Michael Bentley from the University of Utah Kahlert School of Computing and Robotics Center, have won the 2022 IEEE Access Best Video Award (Part 1). This award is given to the best video of papers submitted within a 6-month period to the multidisciplinary open access journal, IEEE Access. The award winning video and accompanying research paper is based on the research group’s meaningful steps toward answering the primary question that drives Prof. Alan Kuntz’s research group: “Can flexible, tentacle-like robots make medical interventions and surgery less invasive?” 

By providing a less invasive alternative to traditional surgical methods, this research has the potential to impact the lives of surgery patients all over the world. Dr. Richard N. Yu, a physician and researcher with The Boston Children’s Hospital, says that when surgeries are less invasive, “people recover tremendously faster with better cosmetic appearances.” Dr. Kuntz and Dr. Bentley’s research could help create quicker surgeries with fewer complications, smaller scars, and faster recovery times. 

https://www.youtube.com/watch?v=i-04P0I36Z4

But just how does their technology work?  “Flexible, tentacle-like robots, which we call ‘continuum robots,’ are capable of moving along naturally-occurring anatomical passages such as sinuses or bronchial trees, as well as curving around anatomical structures in other areas of the body,” said Kuntz, elaborating that the effort “combines the design of these continuum robots with the algorithms that make them easy-to-use for physicians.”

Kuntz’s continuum robots can be fabricated largely on everyday 3D printers, but can be very difficult to control manually due to the complex ways in which they move. Enabling users to control these robots with a haptic device, a kind of three-dimensional computer mouse, is the focus of the award-winning work.

The paper, a collaboration with associate professor Caleb Rucker at the University of Tennessee, presents a new method in a class of robotics algorithms called “motion planning,” and provides a way for the robot to move smartly around obstacles in its environment. This method enables a user to control the tip of the robot while the algorithm plans motions that prevent the robot from colliding with the patient’s body in ways the user doesn’t intend. The algorithm can be more than 17,000 times faster than prior approaches.

Prof. Kuntz and his co-authors propose deploying the robot in a patient’s pleural space (i.e., the space between a person’s chest wall and a collapsed lung) to help diagnose the cause behind the lung’s collapse. However, the researchers believe that the method has the potential to impact many other types of medical procedures throughout the body.  

“Our method now lets a person control this robot in ways not previously possible, which may pave the way for its use in minimally invasive medical procedures” Kuntz says.


Prof. Kogan Receives Grant from Meta to Investigate Meme-based Campaigns to Counter Online Propaganda

Kahlert School of Computing Assistant Professor Marina Kogan has received a grant of US $99,562 through Foundational Integrity & Social Impact Research program of Meta to investigate emotionally-driven, meme-based campaigns for countering online propaganda.

Memes, which have risen in popularity over social media platforms, are images with humorous captions shared over social media. The prominent meme creator Saint Hoax calls them “editorial cartoons for the internet age” and notes that each individual meme often contains many layers of complex meaning. This meaning is derived from the social context just as much as the actual content itself. While the history of memes has been largely dominated by social commentary and humor, Dr. Kogan’s research aims to shine a light on their power in battling misinformation and propaganda. The research will focus on the practices and strategies of campaigns where social media users engaging in fact-checking abandon rational argumentation in favor of more visceral methods of communication such as memes. 

“There is enough evidence that in the face of intense state-sponsored campaigns, standard fact-based approaches to combating propaganda often fall short. This investigation is an exploration of more emotionally-driven, meme-based anti-propaganda campaigns that appear to be succeeding in online environments,” Kogan said. 

One such atypical, successful campaign arose in the context of state-sponsored Russian propaganda during the ongoing invasion of Ukraine that began in February 2022. NAFO, a decentralized, grass-roots movement of Ukrainian and international social media users who focus on combating Russian propaganda, used comical, nonsensical memes to expose the absurdity of original posts containing propaganda. These meme-based campaigns have proven to be an effective tool on the information battleground.

Supported by the grant from Meta, Dr. Kogan plans to analyze the visual and discursive strategies used by the NAFO movement to combat Russian propaganda with meme-based approaches. In addition, she will estimate the success of the campaign by examining whether audience engagement and responses to propaganda posts that have been countered with the meme-based approaches differ from reactions to propaganda that is not countered in such a manner. Prof. Kogan believes that the methods developed in the course of this research can be applied to a broader range of emotion-driven movements, enabling her to explore creative strategies to counter the threat posed by various forms of misinformation and various degrees of authoritarianism.


Mu Zhang Receives $65K Grant from Cisco to Enhance the Security of Smart Contracts

Mu Zhang, an assistant professor at the Kahlert School of Computing, and his research team have received a grant of US $65,421 from Cisco Research to look into safety issues surrounding smart contracts. Zhang’s research aims to develop new techniques to automatically and robustly understand the logic and risks of smart contracts. “It is very exciting to collaborate with industrial partners on solving real-world security problems in Fintech,” said Zhang.

Smart contracts are autonomous computer programs running on top of blockchain technology. Because smart contracts offer the unique ability to enable trustworthy and decentralized transactions, they are used in popular decentralized applications (DApps), such as NFT (Non-Fungible Token) marketplaces, emerging decentralized finance (DeFi) and digital games (e.g. CryptoKitties). Monthly transaction volumes for DApps alone are in billions of US dollars. 

Since the use of smart contracts is booming, it is critical to ensure that they are implemented correctly and securely. Yet, current smart contracts can sometimes go wrong. Academic research as well as real-world attacks have shown that flawed logic in smart contracts may lead to severe financial losses. For example, US $60 million was stolen in the infamous DAO attack because of a bug in a smart contract. 

Although many researchers have begun looking into the vulnerabilities in smart contracts, identifying faulty logic in them remains difficult. Take auction contracts for example. A “no-reserve” auction is an auction in which the item for sale will be sold regardless of price. As a result, the seller must not be allowed to participate, as the seller can reject an offer simply by placing a higher bid. If it is known that a smart contract is used to implement the auction logic, it can be verified whether it follows the “no-reserve” rule. But how can one tell if the auction is implemented with a smart contract?

Zhang's insight is that the intrinsic logic of financial applications lies in the robust control and data dependencies of smart contract code. For instance, an English auction requires identifying the highest bidder and comparing every new bid with the current highest bid. This means that there is a data dependency between the input (new bid) and the comparison. If a new bid is higher than the previous highest bid, the auction will accept the new bid price as the highest bid. This highlights a control dependency between the comparison result and the following actions.

To capture such dependencies, Zhang plans to perform static control flow and data flow analyses on the code for smart contracts and represent the extracted information as a novel graph. If two graphs are similar, they are likely to be based on the implementation of the same logic. Simply comparing the graph of a program with that of an auction contract can indicate if the auction is implemented via a smart contract program.

Nevertheless, comparing graphs is not trivial. It can be computationally expensive due to the graph isomorphism problem. To solve this problem, Zhang will employ a machine learning technique called graph representation learning. This technique can train a machine learning model to encode only the necessary graph information as a vector. Then, instead of comparing complex graphs, the similarity can be checked quickly check by comparing simple vectors.

Related to this project, Zhang has recently published the paper “Towards Automated Safety Vetting of Smart Contracts in Decentralized Applications,” one of 15 papers that won Best Paper Honorable Mention award at the 2022 ACM Conference on Computers and Communication Security (CCS 2022) in Los Angeles, CA. His research interests more broadly include developing tools to detect, diagnose and address security problems of software systems in different domains.


Capstone Demo Day

Senior Capstone Demo Day

The University of Utah’s Kahlert School of Computing recently showcased Senior Capstone Projects. Each project demonstrated the keen abilities of the seniors in computer science, and the wide range of skills they possess to solve diverse problems. Judges from academia and local industry participated in judging the projects.

Demo Day 2023


Data Science Day 2023

Data Science Day 2023

On January 13, 2023, the Utah Center for Data Science hosted at least 280 participants at Data Science Day, making this perhaps the largest data science event ever at the University of Utah. The event was a gathering of all those interested in data science around campus, including students, researchers, and faculty — as well as data scientists from local industry and prospective data scientists from around the Salt Lake City area. This year, Data Science Day was held in the Union Ballroom on the University of Utah campus.

An exciting aspect of the event was the chance for those interested in data science from around the university to gather and meet each other — especially after a few years of mostly online meetings during the COVID-19 pandemic. This was exemplified by the Research Expo part of the day, which saw dozens of research posters, demos, and information booths. The Research Expo provided a forum for researchers of all levels to show off their recent results and for institutes and centers to showcase the services they provide.

A highlight of the day was the research talks, especially the inspiring keynote by Jeff Leek, the chief data officer at the Fred Hutchinson Cancer Center in Seattle. His talk told the story of how he launched a massive online course in data science, and wherein the resulting curriculum has served more than 8 million students. He then described how he leveraged this towards designing and running a version of the curriculum, DataTrail, as an educational springboard for the underserved low-income communities of Baltimore and beyond. This work stimulated much discussion, including how it related to the maturing data science curriculum here at the University of Utah. Another engaging part of the day was an industry panel staffed by local data scientists that provided great insight into the trade-offs of in-person versus remote work, especially as it pertains to new data scientists.

The event also provided a great opportunity for many to interact with local industry. This included a career fair which included the day’s sponsors: Sorenson, Recursion, and bioMérieux. The organizers would also like to thank the Office of the Vice President of Research and the National Science Foundation for financial support and the One Utah Data Science Hub and Kahlert School of Computing for organizational support. The day was a great success and there is excitement to do it again.


Faculty Photo

Marcin Copik, Masado Alexander Ishii, and Shelby Lockhart Named Recipients 
of 2022 ACM-IEEE CS George Michael Memorial HPC Fellowships

New York, NY, October 19, 2022 – ACM, the Association for Computing Machinery, and the IEEE Computer Society announced today that Marcin Copik of ETH Zurich and Masado Alexander Ishii of the University of Utah are the recipients of the 2022 ACM-IEEE CS George Michael Memorial HPC Fellowships. Shelby Lockhart of the University of Illinois at Urbana-Champaign received an Honorable Mention. Copik is recognized for incorporating the Function-as-a-Service programming model into HPC applications and bringing high-performance into serverless to cut costs and increase efficiency of supercomputing. Ishii is recognized for developing lightweight, dimension-parameterized, parallel meshing algorithms with a focus on scalability and improving total time-to-solution for engineering applications. Lockhart is recognized for contributions in scalable iterative solvers using node-aware communication and low synchronization algorithms to reduce communication bottlenecks on supercomputers.

Marcin Copik

Copik’s research bridges the gap between high-performance programming and serverless computing. He is bringing the Function-as-a-Service (FaaS) programming model into the HPC domain by developing high-performance software and hardware solutions for the serverless stack. By solving the fundamental performance challenges of FaaS, he is building a fast, efficient programming model that brings innovative cloud techniques into HPC data centers, allowing users to benefit from pay-as-you-go billing and helping operators to decrease running costs and their environmental impact.

To that end, he has been working on tailored solutions for different levels of the FaaS computing stack, from computing and network devices up to high-level optimizations and efficient system designs. He has also proposed a new design for serverless platforms that applies HPC practices such as low-latency networking, data locality, and efficient communication.

Masado Alexander Ishii

Ishii is the main developer for the University of Utah’s Dendro-KT framework for four-dimensional adaptivity and parallel in time formulations. Given the ever-increasing levels of parallelism in the largest machines, parallelizing across space is not sufficient—and in many cases the inability to parallelize in time is the biggest bottleneck for several important problems. The Dendro-KT framework addresses this problem and also simplifies the development of high-order in time and spatially varying time increments, which are important to limit the computational work needed for a given accuracy.

Working with collaborators, Ishii has also been involved in developing methods and codes for large-scale fluid simulations around complex objects, including a case with multiple complex objects, to evaluate COVID-19 transmission risk in classrooms.

Shelby Lockhart

Lockhart has made contributions in parallel communication, core parallel numerical algorithms, and advancing capabilities of large-scale predictive simulation. Her focus has been on modeling performance in heterogeneous settings, with an eye on redesigning the message communication “under-the-hood” (aspects of the high-performance architecture that are not readily visible) as well as looking at fundamental algorithmic changes in order to significantly improve achievable performance.

Among her research highlights, she has provided detailed communication models to drive the selection of message routing, yielding impressive improvements across a range of problem types. She has also presented a strategy for achieving impressive reductions in communication costs in graphic processing unit (GPU) systems by communication through the host, accounting for different data volumes and GPU counts. Additionally, Lockhart’s work on fixed point solvers has made important contributions to the Suite of Nonlinear and Differential/Algebraic Equation Solvers (SUNDIALS) project.

About the ACM IEEE CS George Michael Memorial Fellowship
The ACM-IEEE CS George Michael Memorial HPC Fellowship is endowed in memory of George Michael, one of the founders of the SC Conference series. The fellowship honors exceptional PhD students throughout the world whose research focus is on high performance computing applications, networking, storage, or large-scale data analytics using the most powerful computers that are currently available. The Fellowship includes a $5,000 honorarium and travel expenses to attend the SC conference, where the Fellowships are formally presented.

About ACM
ACM, the Association for Computing Machinery, is the world’s largest educational and scientific computing society, uniting computing educators, researchers, and professionals to inspire dialogue, share resources, and address the field’s challenges. ACM strengthens the computing profession’s collective voice through strong leadership, promotion of the highest standards, and recognition of technical excellence. ACM supports the professional growth of its members by providing opportunities for life-long learning, career development, and professional networking.

About SC
SC, the International Conference for High Performance Computing, sponsored by ACM and IEEE-CS offers a complete technical education program and exhibition to showcase the many ways high performance computing, networking, storage and analysis lead to advances in scientific discovery, research, education and commerce. This premier international conference includes a globally attended technical program, workshops, tutorials, a world class exhibit area, demonstrations, and opportunities for hands-on learning.