- Neelofer Banglawala: Bespoke bone modelling with VOX-FE
- Hongmei Chi: Particle Swarm Optimization for High-dimensional Stochastic Problems
- Sharda Dixit: Automated Empirical Tuning of Performance and Power Consumption using region (CPU, Memory, I/O) driven DVFS for HPC Scientific Workloads
- Lydia Duncan: Array Initialization Improvements in Chapel
- Wei P Feinstein: Accelerating protein functional annotation with Intel Xeon Phi coprocessors .
- Rosa Filgueira : dispel4py – A Python toolkit for enabling the automatic portability of scientific applications among HPC architectures
- Meghan Fisher: Simulating Volcanic Eruptions on Early Mars
- Maria Juliana Garzón Vargas: High performance embedded computing platform for emergency vehicle transportation
- Patricia Grubel: Performance Characterization of HPX- A Task-based Runtime System on the Xeon PhiTM Knights Landing (KNL)
- Hanlin He : SuperLU Pilot Libraries on KNL Machine
- Zahra Khatami: HPX Data Prefetching Iterator
- Jiajia Li: Model-driven Sparse CP Decomposition for High-Order Tensors
- Fang Liu: Building a Research Data Science Platform from Industrial Machines
- Oana Marin: Lossy Data Compression in a highly scalable Computational Fluid Dynamics code
- Bhavani S Nanjundiah: High Performing Big Data Analytics using Spectrum Scale
- Lena Oden: Towards efficient usage of heterogeneous memory architectures
- Oluwabamise T Oluwaseyi: HPC advancement to other fields
- Maria Andrea Pimiento Ojeda: Processing and Visualization in Embedded Architectures of High Performance Computing
- Caitlin Ross: Performance Analysis and Visualization of Dragonfly Network Simulations
- Louise Spellacy: Partial Inverses of Block Tridiagonal Non-Hermitian Matrices
- Sangeetha Banavathi Srinivasa: Smart Load Balancing of File Systems in HPC clusters
- Daria Tarasova: Algorithm Development for Cloud-Based Quantitative Histological Image Analysis Tool
- Jesmin Jahan Tithi: Cache-oblivious wavefront algorithms for dynamic programming problems: efficient scheduling with optimal cache performance and high parallelism
- Mariam Umar: An Application and Hardware Driven Co-design for Current and Future Architectures Using Domain Specific Language
- Bharti Wadhwa: An Object-based Data Storage Interface for Future HPC Storage Hierarchy
- Zhengkai Wu: Predictive Ring Path Planning via 3D GPU Graphical Simulation in Subtractive 3D Printing
- Hongjie Zheng: Large-scale Tsunami Run-up and Inundation Simulation Using an Explicit Moving Particle Simulation Solver Framework
Speaker & Chair: TONI COLLIS
Founder and Director, Women in HPC, EPCC at the University of Edinburgh
Toni Collis is an Applications Consultant in HPC Research and Industry, providing consultancy and project management on a range of academic and commercial projects at EPCC, the University of Edinburgh Supercomputing Centre.
Toni has a wide-ranging interest in the use of HPC to improve the productivity of scientific research, in particular developing new HPC tools, improving the scalability of software and introducing new programming models to existing software. Toni is also a consultant for the Software Sustainability Institute and a member of the ARCHER team, providing ARCHER users with support and resources for using the UK national supercomputing service as effectively as possible. In 2013 Toni co-founded Women in HPC (WHPC) as part of her work with ARCHER. WHPC has now become an internationally recognized initiative, addressing the under-representation of women working in high performance computing.
Toni is SC17 Inclusivity Chair and a member of the Executive committee for the conference. Toni is also a member of the XSEDE Advisory Board and has contributed to the organization and program of a number of conferences and workshops over the last five years including as an Executive Committee member of the EuroMPI 2016 conference and leading seven WHPC workshops around the world.
Speaker: TRISH DAMKROGER
Acting Associate Director for Computation at Lawrence Livermore National Laboratory (LLNL), USA
Trish Damkroger is Acting Associate Director for Computation at Lawrence Livermore National Laboratory (LLNL), and leads the 1,000-employee workforce behind the Laboratory’s high performance computing efforts. LLNL’s computing ecosystem includes high performance computers, scientific visualization facilities, high-performance storage systems, network connectivity, multiresolution data analysis, mathematical models, scalable numerical algorithms, computer applications, and necessary services to enable LLNL mission goals and scientific discovery through simulation.
Ms. Damkroger has more than 27 years of technical and management roles both in the private sector, as Remedy Corporation’s Area Vice President for Information Technology, and elsewhere within the Department of Energy, as Sandia National Laboratories’ Deputy Director for the Advanced and Exploratory Program.
Since 2006, Ms. Damkroger has been a leader of the annual Supercomputing Conference series. She was the SC14 General Chair in New Orleans and has held many other committee positions, including Infrastructure Chair, Exhibits Chair, Panels Chair, and Workshops Chair.
Panelist: SUDIP DOSANJH
Director of the National Energy Research Scientific Computing (NERSC)
Dr. Sudip Dosanjh is Director of the National Energy Research Scientific Computing (NERSC) Center at Lawrence Berkeley National Laboratory. NERSC’s mission is to accelerate scientific discovery at the U.S. Department of Energy’s Office of Science through high performance computing and extreme data analysis. NERSC deploys leading-edge computational and data resources for over 4,500 users from a broad range of disciplines. NERSC will be partnering with computer companies to develop and deploy pre-exascale and exascale systems during the next decade.
Previously, Dr. Dosanjh headed extreme-scale computing at Sandia National Laboratories. He was co-director of the Los Alamos/Sandia Alliance for Computing at the Extreme-Scale from 2008-2012. He also served on the U.S. Department of Energy’s Exascale Initiative Steering Committee for several years.
Dr. Dosanjh had a key role in establishing co-design as a methodology for reaching exascale computing. He has numerous publications on exascale computing, co-design, computer architectures, massively parallel computing and computational science.
He earned his bachelor’s degree in engineering physics in 1982, his master’s degree (1984) and Ph.D. (1986) in mechanical engineering, all from the University of California, Berkeley..
Panelist: KELLY GAITHER
Director of Visualization & Director of Education and Outreach, Texas Advanced Computing Center (TACC)
Kelly Gaither is the Director of Visualization, a Senior Research Scientist, and the interim Director of Education and Outreach at the Texas Advanced Computing Center (TACC) at The University of Texas at Austin. Dr. Gaither leads the visualization activities while conducting research in scientific visualization, visual analytics and augmented/virtual reality. She received her doctoral degree in Computational Engineering from Mississippi State University in May, 2000, and received her masters and bachelors degree in Computer Science from Texas A&M University in 1992 and 1988 respectively. Gaither has over thirty refereed publications in fields ranging from Computatational Mechanics to Supercomputing Applications to Scientific Visualization. She is currently a co-PI and the director of Community Engagement and Enrichment and for Extreme Science and Engineering Discovery Environment (XSEDE2), a $120M project funded by the National Science Foundation. She has given a number of invited talks and keynotes. Over the past ten years, she has actively participated in conferences related to her field, specifically acting as general chair IEEE Visualization 2004 and general chair of XSEDE16. .
Panelist: DEB GOLDFARB
Chief Analyst and Senior Director of Market Intelligence, Intel Data Center Group
Debra is the Chief Analyst and Senior Director of Market Intelligence for Intel’s Data Center Group. Debra’s nearly 30 year career in High Performance Computing started at IDC where she spent 17 years leading the company’s presence in high end computing in government, academia and industry. She was instrumental in driving science and technology policy initiatives in the US and abroad, highlighting the impact and importance of HPC as a fundamental economic and innovation driver. She led IDG’s initiatives in healthcare and life sciences, launching Bio-IT World magazine and Expo, the Life Sciences Venture Fund and a research advisory and consultancy.
Following IDC, Debra was VP of Strategy for IBM’s Deep Computing organization, leading such initiatives such as IBM’s Blue Gene program and the early hosted HPC solutions of Deep Computing on Demand. She ran strategy and Market Intelligence for IBM’s System and Technology Group business unit driving critical BI and analytic programs and new modeling methodologies.
Debra was CEO of Tabor Communications, expanding the scope of the company beyond HPCWire, launching a Research organization, and building out a digital delivery platform. Following Tabor, Debra was at Microsoft leading strategy and evangelism, launching its Technical Computing Executive Advisory Council and driving several high profile collaborations with key partners including the Gates Foundation, UN, DoD, and NetHope.
Since joining Intel, Debra has led the company’s efforts on multiple fronts, including expanding the use and adoption of high performance computing into new markets and communities and driving strategy and pathfinding for Intel’s Technical Computing Group. In her current role as Chief Analyst and Sr. Director of MI, she is responsible for leading the vision and technical infrastructure around developing a world class MI organization for DCG.
She is actively involved in STEM policy initiatives and in working with global organizations to advance economic development through access and use of leading edge technologies. Outside of Intel Debra is active in the community sitting on several boards. She is a devoted mom and an avid skier. .
Speaker & Panelist: KATHRYN MCKINLEY
Principle Researcher, Microsoft, USA
Kathryn S. McKinley is a Principal Research at Microsoft. She was previously an Endowed Professor of Computer Science at The University of Texas at Austin. She is interested in creating systems that make programming easy and the resulting programs correct and efficient. She and her collaborators have produced several widely used tools: the DaCapo Java Benchmarks (30,000+ downloads), Hoard memory manager, TRIPS Compiler, MMTk memory management toolkit, and Immix garbage collector. Her awards include the ACM SIGPLAN Programming Languages Software Award and eleven best paper and test-of-time awards from ASPLOS, OOPSLA, ICS, SIGMETRICS, IEEE MICRO Top Picks (4), SIGPLAN Research Highlights, and CACM Research Highlights (2). She currently serves on the CRA and CRA-W Boards. Dr. McKinley was honored to testify to the House Science Committee (Feb. 14, 2013). She is an IEEE and ACM Fellow and has graduated 22 PhD students. She and Scotty Strahan, her husband of 31 years, have three sons.
Teaching Data Centers to Share
Web services, from search to games to stock trading, impose strict service-level objectives (SLO) on tail latency that result in servers executing at low average utilization (10 to 45%); turning off simultaneous multithreading (SMT); and executing only a single service, wasting resources, money, and energy. We introduce principled borrowing, which controls SMT hardware resources. Latency sensitive requests execute in one SMT hardware context (lane). Batch workloads execute with mutual exclusion in a partner lane, but only when no request is executing. We show our approach effectively utilizes cores at 100% without compromising SLOs. This result is surprising.
Productive and Healthy Academic Relationships
Research is a social process. Participating in your broader community, finding collaborators, managing your students and advisor are important social skills that substantially impact your happiness, the quality of your research, and your career. This talk covers some practical ways to build good relationships and teams at your home institutions and how to meet new people to build your network..
Panel Chair: KIM MCMAHON
President and CEO, McMahon Consulting
Kim McMahon is the President and CEO of McMahon Consulting, a full-service marketing firm specializing in the HPC and Enterprise Technical Computing space. She has nearly 20 years of experience with companies such as SGI, Cray, ADIC, LSI/NetApp, and Brocade as well as in the areas of compute, storage, networking, cloud, big data, and services. She has held a range of roles including leading and executing the go-to-market strategies for business units, managing partner relationships, co-marketing, product management, and sales.
Kim has worked with clients all over the world. This worldwide exposure has given her the experience to market US products outside of the country and to help foreign companies launch and market their products in the US. Kim is on the Advisory Board and leads the marketing and communications for Women in HPC, is the Communications lead for the SC16 Diversity Committee and the SC16 Student Cluster Competition Committee, manages the SC16 Twitter, and manages the social media for HPC Advisory Council. Kim is a graduate of the University of Northern Colorado with a Bachelor of Science in Accounting / Business Administration. Kim grew up and lives in Colorado and in her free time you will find her outdoors skiing, hiking, or walking the dogs.
Poster Chair: MISBAH MUBARAK
Postdoctoral Appointee, Argonne National Laboratory
Misbah Mubarak is a postdoctoral researcher at Argonne National Laboratory. She is part of the data-intensive and HPC storage research group at Argonne, which is working to enable researchers make use of their big data in new scientific advances. Misbah has authored or co-authored over 20 papers in the area of performance modeling and analysis of HPC systems. She is the recipient of U.S. Fulbright scholarship, ACM SIGSIM PADS PhD colloquium award and a finalist for Google Anita Borg scholarship. Misbah received her PhD and Masters in computer science from Rensselaer Polytechnic Institute (RPI) in 2015 and 2011 respectively. She also has experience working at CERN, Switzerland and Teradata Corporation.
Research Faculty, Center for Education Integrating Science, Mathematics and Computing (CEISMC) at the Georgia Institute of Technology
Lorna Rivera serves as a Research Scientist II in Program Evaluation at the Georgia Tech Center for Education Integrating Science, Mathematics and Computing (CEISMC). Her work focuses on the intersection of scientific content, pedagogy, and equity with the goal of being both methodologically innovative and socially responsible. Rivera has conducted evaluations primarily funded by the National Science Foundation’s Division of Advanced Cyberinfrastructure. This has led her to work with over 18 universities as well as multiple international high performance computing centers and organizations such as Compute Canada, EPCC, NCSA, PRACE, RIKEN, and XSEDE. Rivera received both her Bachelor of Science in Health Education and her Master of Science in Health Education and Behavior from the University of Florida. Prior to joining Georgia Tech, Rivera worked with various institutions, including the University of Illinois at Urbana-Champaign, March of Dimes, Shands HealthCare, and the University of Florida College of Medicine. Her research interests include the evaluation of innovative programs and their sustainability.