• Register for the 5K: https://gatech.co1.qualtrics.com/jfe/form/SV_3EMUEFBWUSdMLS6?Q_CHL=qr
• Volunteer to support the 5K: https://gatech.co1.qualtrics.com/jfe/form/SV_eVsLxvaYtIl3TaC

Where: GT Hotel Club Room
800 Spring St NW, Atlanta, GA 30308
the Club Room is located on the first floor of the Hotel
When: Thursday, March 31, 5 - 8 p.m.

There are two pool tables in the club room and we have reserved a photo booth so you can have a souvenir of the evening. Refreshments and drink tickets provided. So take a break from your studies, and come relax and have fun!

The College of Computing and the Machine Learning Center at Georgia Tech are hosting Dean, who is speaking on March 8, in the Clough Auditorium (144). His presentation, Five Exciting Trends in Machine Learning, begins at 11 a.m.

Power of Two Schedule

9 -10:30 a.m.| Breakfast for everyone in Computing!... bacon - Klaus Atrium 

11 a.m. -12 p.m. | Computing Student Conversations w/ the Dean - Klaus 1443 

1200pm-130pm | GT Computing Faculty and Staff Lunch - Klaus Atrium

2 -4 p.m. | Afternoon snacks and games for everyone in Computing - Klaus 1116 

2:22 p.m. | Giveaways - Klaus 1116  

5:00 p.m. | In-person Fireside Chat with Dean Isbell - Clough 144
(Join virtually https://primetime.bluejeans.com/a2m/live-event/fcqeauxz)

Live stream for Computing, Alumni and OMSCS  

6:30 – 9 p.m. | Reception and Monte Carlo Night - Alumni, Students, Faculty, and Staff - Klaus Atrium and Room 1116

The summit will start at 1:00pm – 5:00 p.m., Thursday, Jan. 28^, and will resume at 12:00 p.m. – 5:00 p.m. on Friday, Jan. 29.   

The summit will start at 1:00pm – 5:00 p.m., Thursday, Jan. 28^, and will resume at 12:00 p.m. – 5:00 p.m. on Friday, Jan. 29.   

Location: The Garage @ Tech Square

Date/Time: 4 p.m., Friday, Jan. 31, 2020

More info: https://www.eventbrite.com/e/fireside-chat-w-chris-klaus-tickets-90254703247

ABSTRACT:

Quantum computing promises exponential speedups for an important class of problems. While quantum computers with few dozens of qubits have been demonstrated, these machines suffer from high rate of gate errors. Such machines are operated in the Noisy Intermediate Scale Quantum (NISQ) mode of computing where the output of the machine can be erroneous. In this talk, I will discuss some of our recent work that aims to improve the reliability of NISQ computers by developing software techniques to mitigate the hardware errors. Our first work (ASPLOS 2019) exploits the variability in the error rates of qubits to steer more operations towards qubits with lower error rates and avoid qubits that are error-prone.  Our second work (MICRO 2019) looks at executing different versions of the programs each crafted to cause diverse mistakes so that the machine becomes less vulnerable to correlated errors.  Our third work (MICRO 2019) looks at exploiting the state-dependent bias in measurement errors (state 1 is more error prone than state 0) and dynamically flips the state of the qubit to perform the measurement in the stronger state. We perform our evaluations on real quantum machines from IBM and demonstrate significant improvement in the overall system reliability. If time permits, I will also briefly discuss the hardware aspect of designing quantum computers, including cryogenic processor and cryogenic memory system.

BIO:

Moinuddin Qureshi is a professor of electrical and computer engineering at the Georgia Institute of Technology. His research interests include computer architecture, memory systems, hardware security, and quantum computing. Previously, he was a research staff member (2007-2011) at IBM T.J. Watson Research Center, where he developed the caching algorithms for Power-7 processors. Qureshi has published more than 40 papers in top-tier architecture conferences and his research has received close to 9,000 citations. He is a member of the Hall of Fame of ISCA, Hall of Fame of MICRO, and Hall of Fame of HPCA. His research has been recognized with the best paper awards at MICRO 2018, CF 2019, and two selections (and three honorable mentions) at IEEE MICRO Top Picks. His ISCA 2009 paper on phase change memory was recently awarded the 2019 Persistent Impact Prize in recognition of “exceptional impact on the fields of study related to non-volatile memories.” He was the program chair of MICRO 2015 and selection committee co-chair of Top Picks 2017. He received his Ph.D. (2007) and M.S. (2003) from the University of Texas at Austin.

“Closing the Gap between Quantum Algorithms and Machines with Hardware-Software Co-Design ”

ABSTRACT:

Quantum computing is at an inflection point, where 72-qubit (quantum bit) machines are being tested, 100-qubit machines are just around the corner, and even 1000-qubit machines are perhaps only a few years away. These machines have the potential to fundamentally change our concept of what is computable and demonstrate practical applications in areas such as quantum chemistry, optimization, and quantum simulation. Yet a significant resource gap remains between practical quantum algorithms and real machines. The key to closing this gap is to develop techniques to specialize algorithms for hardware and vice versa. Quantum computing is the ultimate vertically-integrated domain-specific application, and computer engineers are sorely needed to tackle grand challenges that include programming language design, software and hardware verification, debugging and visualization tools, defining and perforating abstraction boundaries, cross-layer optimization, managing parallelism and communication, mapping and scheduling computations, reducing control complexity, machine-specific optimizations, learning error patterns, and many more. I will also describe the resources and infrastructure available for starting research in quantum computing and for tackling these challenges. .

BIO:

Fred Chong is the Seymour Goodman Professor in the Department of Computer Science at the University of Chicago. He is also Lead Principal Investigator for the EPiQC Project (Enabling Practical-scale Quantum Computing), an NSF Expedition in Computing. Chong received his Ph.D. from MIT in 1996 and was a faculty member and Chancellor’s fellow at UC Davis from 1997-2005. He was also a Professor of Computer Science, Director of Computer Engineering, and Director of the Greenscale Center for Energy-Efficient Computing at UCSB from 2005-2015. He is a recipient of the NSF CAREER award and 6 best paper awards. His research interests include emerging technologies for computing, quantum computing, multicore and embedded architectures, computer security, and sustainable computing. http://people.cs.uchicago.edu/~ftchong/

ABSTRACT:

Quantum computation uses the rules of quantum mechanics to process information in a way that is fundamentally different than a digital computer. This enables the construction of algorithms that are exponentially faster than the best know current algorithms.  These provable quantum speedups are currently beyond our reach due to the limitations of available quantum processors. I will give an overview of the state of the field and the challenges of scaling the hardware. I will discuss our recent work on quantum error correction and how this points towards the value of co-designing the hardware architecture and the applications.

BIO:

Kenneth Brown is an associate professor of electrical and computer engineering, chemistry, and physics at Duke University. From 2007-2017, he was a faculty member in the Schools of Chemistry and Biochemistry, Computational Science and Engineering, and Physics at Georgia Tech. In 2018, he was elected a fellow of the American Physical Society and has previously served as the chair of the Division of Quantum Information. He currently directs the Software Tailored Architecture for Quantum co-design (STAQ) project funded by the National Science Foundation to construct a programmable, fully-connected quantum computer. 

Join us to meet new people and learn new tricks. Refreshments provided. TSRB Reception Area (outside of auditorium) at 3 pm on Friday, February 16th. This event follows two short presentations, but you are welcome to attend the social even if you are unable to make it to the talks.

Registration Deadline: Monday, January 29, 11:59 pm (Extended)

Event Date: February 3, 2018
 8:00am-6:00pm
Klaus Advanced Computing Building 1116 East & West, and the Klaus Atrium

 Click here for a flyer to print and post.

You are invited to participate in the Georgia Tech Datathon, hosted by IDEaS.

Datathons are a new type of live-action competition for STEM students. They are analogous to "Hackathons" for software engineers, but instead of building apps, contestants use real-world data to develop and substantiate solutions to a socially impactful problem. If you are curious to see what a Datathon looks like, we encourage you to view this brief clip from our past Dublin Datathon!

The Georgia Tech Datathon is hosted by Citadel LLC & Citadel Securities in partnership with Correlation One and the Institute for Data Engineering and Science at Georgia Tech. The event will take place on Saturday, February 3rd from 8:00am-6:00pm at Georgia Tech, Klaus 1116 E/W, Klaus Advanced Computing Building, 266 Ferst Dr NW, Atlanta, GA 30332. Highlights include:

• $25,000 in cash prizes!  
• The chance to showcase your skills tackling a meaningful, real-world problem!
• The opportunity to participate at The Data Open and win $100,000 in cash prizes!
• Possible interviews with Citadel & Citadel Securities!

To participate in Datathon, SIGN UP HERE to complete the Questionnaire, Assessment and Registration!

If you have any further questions, please direct them to vikram@correlation-one.com. Thank you, and we look forward to receiving your application and hope to have you in attendance with us on Saturday, February 3rd!

Thursday September 28, 2:00 - 4:30 pm
Centergy Building 3rd Floor
Hodges Room (Suite 335)
75 5th St. Atlanta 30308

EVENT OVERVIEW
CHAI is a new Joint Center between the College of Computing and GTRI dedicated to the advancement of human health through innovations in data, analytics, and healthcare interoperability.  The launch will introduce the Center to the Georgia Tech community and feature a Keynote by health informatics pioneer Dr. Ed Hammond with a reception to follow.
 

AGENDA
Opening Remarks - 2 pm

• Welcome by Steve Cross (EVPR)
• Andy Gerber (Director, GTRI) and Zvi Galil (Dean, College of Computing) discuss the One GT Health Initiative
• Center Directors (Jon Duke, Jim Rehg, and Jimeng Sun) discuss the vision for CHAI and highlight new data and analytics resources for campus and opportunities for collaboration

Keynote by Dr. Ed Hammond - 2:30 pm
CHAI presents Dr. Ed Hammond, Director of the Duke University Center for Health Informatics and a pioneer in the informatics field.

Reception - 3:30 pm
Join us for food, networking, and academic merriment following Dr. Hammond's talk.
 

CHAi is a new joint center between GT College of Computing and GTRI dedicated to the advancement of human health through innovations in data capture, analytics, and interoperable systems. 

We invite you to join us for our Kickoff Seminar and Reception featuring a Keynote by Dr. Ed Hammond, Director of the Duke University Center for Health Informatics and a pioneer in the informatics field. In addition to Dr. Hammond's keynote, we will discuss the vision for CHAI and hear from campus leadership on the goals of GT's strategic health initiative.  Come for the learning, stay for the food as we enjoy a reception to follow.

"Evolving an HPC Center for Diverse Workloads and Workflows"Friday, September 1, 2017, from 2-3 pm, in the TSRB Auditorium

Abstract

Supercomputing platforms and their hardware/software ecosystems at high-performance computing (HPC) data centers have been designed and tuned over the years to serve the needs of cutting edge simulation-based science. However, the emergence and rapid growth of data science problems, solutions, and associated technologies have created new demand for computing resources for an even broader range of business and scientific research communities. As a result, many computing centers are asking how to "pivot" their hardware and software services to fulfill the needs of increasingly diverse user communities without duplicating or multiplying resources. For instance, a common question is how to use co-processor technologies, like GPUs, for both simulation science and data science workloads, given their often differing software stacks. In this talk, I will give an overview of the evolution of technologies for simulation and data science workloads and workflows. I will compare and contrast technical requirements using two case studies, one representing each domain. I will then highlight challenges and opportunities for using consolidated technologies. Finally, I will discuss ongoing research and development opportunities that could offer a significant improvement in efficiency for diverse workloads and complex workflows by using converged solutions.

Biography

Dr. Sadaf R. Alam is the Chief Architect and Head of the HPC Operations at the Swiss National Supercomputing Centre (CSCS) in Lugano, Switzerland. Dr. Alam studied computer science at the University of Edinburgh, UK, where she received her Ph.D. in 2004. Until March 2009 she was a computer scientist at the Oak Ridge National Laboratory, USA. At CSCS, Dr. Alam leads the unit operating HPC systems for the User Lab and external customers, like MeteoSwiss, the Federal Office for Meteorology and Climatology. In her role as Chief Architect, she ensures the end-to-end integrity of HPC systems and storage solutions. Her research interests include the development of tools and technologies for emerging computing, memory, network and storage technologies.

Host

Richard Vuduc, Associate Professor, School of Computational Science and Engineering at Georgia Tech; Director, Center for High-Performance Computing at Georgia Tech.