Photo gallery of on-going activities.
Joined UDEL in Fall 2015 as an Assistant Professor at the Computer & Information Sciences (CIS) department and Center for Bioinformatics and Computational Biology (CBCB). Sunita also holds an Adjunct position with the Department of Computer Science at the University of Houston. She was a postdoctoral research fellow at the Dept. of Computer Science at the University of Houston, Texas, advised by Prof. Barbara Chapman.
My research group: Computational Research and Programming Laboratory (CRPL).
If you are interested in HPC and parallel programming, please contact firstname.lastname@example.org with a copy of your CV.
Sunita was a recipient of the 2016 IEEE-CS TCHPC Award for Excellence for Early Career Researchers in High Performance Computing. She received her award at the International Conference for High Performance Computing, Networking, Storage and Analysis (SC16).
Sunita received the SPEC HPG (Standard Performance Evaluation Corporation, High Performance Group) Technical Leadership Award in Jan 2016. SPEC also recognized her as one of the SPEC project leaders of the High Performance Group (HPG) benchmark suite in 2014.
PhD on Tools and Algorithms for High-Level Algorithm Mapping to FPGAs, School of Computer Science and Engineering, 2012
Nanyang Technological University (NTU), Singapore
B.E. Electrical & Electronics, 2005
Anna University, Madras, India
Sunita Chandrasekaran and Guido Juckeland published a new book on Programming with OpenACC. Entitled “OpenACC for Programmers: Concepts and Strategies”, the book is one of the first comprehensive and practical overviews of OpenACC for massively parallel programming. For more see Eurekalert and insideHPC.
In this video from SC17, Sunita Chandrasekaran from OpenACC.org and Stan Posey from NVIDIA describe how OpenACC eases GPU programming for HPC. More
In Summer 2016, scientists from NASA, NCI, BNL and 3 UDEL teams gathered at the University of Delaware for a GPU Programming Hackathon. Watch the recap video shared by NVIDIA news center and photos. Similarly in summer 2017, a Brookathon was held at Brookhaven National Lab in collaboration with Meifeng Lin, a CSI computational scientist, Fernanda Foertter, a HPC user support specialist and programmer and several others. The hackathon stories and training experiences were captured in this paper presented at the 2017 EduHPC workshop co-located with SC17.
In this video from ISC 2017, Sunita Chandrasekaran and Michael Wolfe describe how OpenACC makes GPU-accelerated computing more accessible to scientists and engineers. More
Denovo is a production code for nuclear reactor neutronics modeling and is in use by a current DOE INCITE project to model the ITER fusion reactor. Our project investigates the sweep kernel within Denovo that counts for approximately 80-99% of Denovo’s overall computational expenses. We use OpenACC, a high-level, directive-based programming model running on NVIDIA’s next-generation Volta GPU for this work and our preliminary shows promising speedup comparable to CUDA.
Advancements in Next Generation Sequencing (NGS) is enabling us to make discoveries in precision medicine and create personalized medicines to treat diseases. In this project we build a DNA sequence alignment tool, AccSeq, that is a 3-step tool using novel time and memory efficient novel algorithms. The tool is being evaluated with Saccharomyces Genome Database (SGD) (yeast) and human genome sequences. Stay tuned to learn more.
Sunita’s group builds validation and verification (V&V) testsuites for OpenMP directive-based parallel programming models and focusses on the offloading features. Work on OpenMP testsuite is part of the Exascale Computing Project (ECP) SOLLVE project. The testsuite project is funded by Oak Ridge National Laboratory (ORNL). The goal of this project is to validate and verify implementations of the programming model features in various compilers.
Sunita’s group builds validation and verification testsuite (V&V) for OpenACC directive-based paralell programming models. Work on OpenACC testsuite is supported by OpenACC/NVIDIA. The goal of this project is to validate and verify implementations of the programming model features in various compilers. This testsuite has been integrated into the harness infrastructure of the TITAN and Summitdev systems at Oak Ridge National Lab and is being used for production.