PEOPLE
Dr. Padma Raghavan is a Professor in the Computer Science and Engineering Department at the Pennsylvania State University and also the Director of the Institute for CyberScience at Penn State and an Affiliate Professor of Information Science and Technology. Dr. Raghavan conducts research in the areas of high-performance computing and computational science. Her contributions concern sparsity as a unifying abstraction from computational science to computer architecture, toward increasing computational performance by constant factors to orders of magnitude. She pioneered the development of parallel “sparse algorithms” that derive from and operate on compact yet accurate representation of high dimensional data, complex models, and computed results. She has developed parallel sparse linear solvers that limit the growth of computational costs and utilize the concurrent computing capability of supercomputer hardware to enable the solution of complex large-scale modeling and simulation problems that are otherwise beyond reach. Dr. Raghavan was also among the first to propose the design of energy-efficient supercomputing systems by combining results from sparse scientific computing with energy-aware hardware optimizations used for small-embedded computers. Dr. Raghavan serves as an Associate Editor for the SIAM Journal of Scientific Computing. Associate Editor and the SIAM series on Computational Science and Engineering. In addition to serving as co-chair of the 2011 SIAM Conference on Computational Science and Engineering, she serves on various advisory boards including Computation Directorate of the Lawrence Livermore National Laboratory, Blue Waters Petascale Computing at the University of Illinois, the NSF-OCI Taskforce on Software Infrastructure, and the National Academies Panel on Digitization and Communication Science. She received her PhD in Computer Science from the Pennsylvania State University and served as an Assistant Professor of Computer Science at the University of Tennessee, Knoxville prior to joining to Penn State in 2000 as an Associate Professor of Computer Science and Engineering.
Dr. Suzanne Shontz is an Assistant Professor in the Computer Science and Engineering Department at The Pennsylvania State University. Dr. Shontz conducts research in parallel scientific computing. In particular, her research interests lie in the research and development of unstructured mesh techniques and numerical optimization algorithms and their applications. The goal of her meshing research is to develop efficient algorithms for mesh optimization, warping, and untangling, whereas the goal of her optimization research is to develop efficient numerical optimization methods for nonlinear problems. These algorithms are being developed in the broadest context and have been applied to problems in computational medicine,materials science, and visual computing. Her meshing research has led to the development of novel algorithms for mesh optimization, warping, and untangling, which improved the robustness and efficiency of existing algorithms and the resulting mesh quality, and to a greater understanding of the interaction between meshes, linear solvers, and geometry. Her optimization research has led to the design of an improved shape-matching algorithm, of efficient geometry optimization methods for electronic structure calculations, and the use of approximation models in parallel nonlinear optimization. Dr. Shontz received an Office of Naval Research Summer Faculty Fellowship in 2009, a National Physical Science Consortium Fellowship from 1999-2004, and an Honorable Mention for the Alice T. Schafer Prize for Women in Mathematics in 1999. Dr. Shontz served as the Chair of the 2010 International Meshing Roundtable and the 2010 SIAM Professional Development Evening Working Group. She has served on various technical committeesand as is a reviewer for various journals and magazines including the SIAM Journal on Scientific Computing. She received her Ph.D. in Applied Mathematics from Cornell University in 2005. Prior to joining Penn State in August 2006, she was a postdoctoral associate in the Department of Computer Science and Engineering and a Minnesota Supercomputing Institute Research Scholar at the University of Minnesota.
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Dr. Kamesh Madduri is an assistant professor in the Computer Science and Engineering department at The Pennsylvania State University. He received his PhD in Computer Science from Georgia Institute of Technology's College of Computing in 2008, and was previously a Luis W. Alvarez postdoctoral fellow at Lawrence Berkeley National Laboratory. He is interested in all aspects of high-performance computing for solving informatics and scientific data analysis challenges, including the design of new scalable methods, parallel algorithm design, performance studies on emerging hardware platforms, and developing high-performance software systems. He was awarded the first Junior Scientist prize from the SIAM Activity group on Supercomputing (2010), an Outstanding Graduate Research Assistantship award from Georgia Tech's College of Computing (2008), and the NASA Graduate Student Researchers Program Fellowship (2006-08). |
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Manu Shantharm is a PhD candidate in the Scalable Scientific Computing Lab and being advised by Professor Padma Raghavan. His research primarily focuses on enhancing and predicting the performance of parallel scientific applications using model-driven optimizations that use application and architecture specific knowledge to tune these applications. Before joining Penn State, he was a senior systems engineer at Wipro Technologies, Bangalore, India. |
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Michael Frasca is a PhD student advised by Dr. Padma Raghavan in the Department of Computer Science and Engineering at Penn State University. He is a graduate student of the Scalable Scientific Computing Laboratory. Mike's research interests include modeling multilevel caches through reuse analysis, developing techniques to apply support graph theory for linear system preconditioning and investigating performance of scientific applications running on scratchpad caches. Mike completed his undergraduate program at the Bucknell University in 2006. Before coming to Penn State he worked at Accenture, Custom Solutions Architecture as an Analyst working on large scale custom warehouse management solution. |
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Joshua Booth is a PhD student advised by Dr. Padma Raghavan in the Department of Computer Science and Engineering at Penn State University. He is a graduate student of the Scalable Scientific Computing Laboratory. His is currently working on research concerning the running time of linear solver for large sparse Symmetric Positive Definite matrices. His other areas of interest are Data mining, compression/ data reduction and High Performance Computing. Joshua has a M.S. in Computational Mathematics from Duquesne University and a B.S. Applied Mathematics from Robert Morris University. |
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Shad is a graduate student working towards his PhD. In his previous incarnations he has been associated with University of South Carolina, Qwest and IIT Kharagpur. He is currently working in data mining. He is being advised by Dr. Padma Raghavan. |
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Humayan Kabir is a PhD Candidate advised by Dr. Padma Raghavan in the Department of Computer Science and Engineering. He is currently working in scientific computing. Before joining Penn State he was in the University of South Carolina and Indian Statistical Institute - Kolkota, India. Previously he worked in algebra and computational geometry. |
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Caleb Severn is a PhD student advised by Dr. Padma Raghavan in the Department of Computer Science and Engineering.Before joining Penn State in 2011, Caleb worked as a senior mechanical and electrical engineer in chemical machinery, industrial controls, and autonomous robotics. His research interests cluster around operating systems, asynchronous and distributed software architectures for efficient use of multiprocessors, memory performance and large data sets, program instrumentation and runtime adaptation, and machine learning. |
Paul Philip
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Paul Philip is a PhD student in the Scientific Computing Lab, being advised |
Jibum Kim
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Jibum Kim is a PhD student advised by Dr. Suzanne Shontz in the Department of Computer Science and Engineering at Penn State University. He is a graduate student of the Scalable Scientific Computing Laboratory. Jibum's research interests include mesh optimization using mesh smoothing algorithms, optimal preconditioner and solver design for sparse systems and shape matching algorithm for deformable objects. Jibum received his Masters in Science in Electrical Engineering at Penn State. Before coming to Penn State Jibum completed his Bachelors in Science at Yonsei University in Korea. Jibum interned at Samsung Electronics, DMC Division, Korea in 2009. He can be reached at jzk164@cse.psu.edu. |
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Jeonghyung Park is a PhD student advised by Dr. Suzanne Shontz in the Department of Computer Science and Engineering at Penn State University. She is a graduate student of the Scalable Scientific Computing Laboratory. Jeonghyung's research interests include mesh optimization using various mesh smoothing algorithms, designing mesh optimization algorithms, and image processing.She completed her Master in Computer Science at Penn State and interned at Sandia National Laboratories. |
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Shankar Prasad Sastry is a PhD candidate advised by Dr. Suzanne Shontz in The Department of Computer Science and Engineering at The Penn State University. He is currently working on his dissertation titled, "Dynamic Meshing Techniques with Applications to Inferior Vena Cava Filter Simulations." He received his Bachelor of Technology (B. Tech.) degree in Mechanical Engineering at Indian Institute of Technology, Madras at Chennai, India. His research interests include numerical optimization, anisotropic and isotropic meshing techniques. He is currently working on mesh quality improvement, mesh warping, and cache modeling projects. |
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Ken Czuprynski is a MS student in the Department of Computer Science and Engineering co-advised by Dr. Suzanne Shontz and Dr. John Fahnline. He is a graduate assistant of the Computational Mechanics division of Penn State's Applied Research Laboratory and is also a member of the Scalable Scientific Computing Laboratory. Ken's research interests are in parallel numerical linear algebra.
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Thap Panitanarak
Alumni of the lab
- Dr. Sanjukta Bhowmick (Assistant Professor at University of Nebraska at Omaha) [bio]
- Dr. Keita Teranishi (Cray Inc) [bio]
- Dr. Ingyu Lee (Assistant Professor at Troy University) [bio]
- Dr. Sayaka Akioka (Associate Professor at Waseda University)
- Dr. Konrad Malkowski (Mathworks) [bio]
- Dr. Anirban Chatterjee (Mathworks)
- Anusha Sriraman (Google)
- Archana Visvanath (Goldman Sachs)
- Kelly Fermoyle (Seagate)
- Sowmyalatha Srinivasmurthy (Intel)
- Nicholas Voshell (Microsoft Corporation)
- Jun Sun (MS in Computer Sceince and Ph.D. in Mechanical Engineering)
- Ivana Veljkovic
- David Cairns
- Ihsan Gin
- Chuang Li
- A. Shaffer
- J. Johnson
- B. Toth
- B. Cover
- S. Poku
- X. Ding
- W. Stevenson
