Blogs

CRPL @ SC19 - Check out our blog!

The University of Delaware and CRPL have had yet another great attendance at the Supercomputing Conference 2019. Visit out SC blog to read about the experiences of our students! CRPL at SC19 Team: Dr. Sunita Chandrasekaran Jose M. Monsalve Diaz Sanhu Li Mauricio Ferrato Mayara Gimenes Josh Davis

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CRPL at GTC 2019

View this post on Instagram A post shared by CRPL@UD (@crpl_ud) on Mar 28, 2019 at 3:34pm PDT CRPL was busy at the GPU Technical Conference (GTC) 2019 with two talks, two posters, and mentoring a GPU workshop. Present at the conference were Ph.D. students Robert Searles and Eric Wright from CRPL, Alex Bryer, a close collaborator from the University of Delaware department of chemistry, and Dr.

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UD @ SC18

The University of Delaware had a successful attendance at the Supercomputing Conference 2018. Visit our SC blog to learn about our student’s experiences.

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CRPL students write about their week-long GPU hackathon experience at the Brookhaven National Lab, 2018

Four students from CRPL@ UDEL Mauricio Ferrato (Ph.D. student), Eric Wright (Ph.D. student), Robert Searles (Ph.D student), Kyle Friedline (Undergraduate student BSCS) attended the 2018 Brookathon - Brookhaven National Laboratory GPU hackathon held at BNL on September 17–21, 2018 as one of the 2 mentors for four hackathon teams. They have also served as mentors in the Boulder, Oak Ridge National Laboratory (ORNL), Pawsey Supercomputing Center and NASA hackathons. What do they have to say?

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Two CRPL Research Poster Submissions Accepted for SC18

CRPL’s PhD Students Eric Wright and Mauricio Ferrato have a poster titled “Estimating Molecular Dynamics Chemical Shift with GPUs” accepted for the SC18 conference in Dallas. The research project was started as an undergrad project under the Vertically Integrated Project (VIP) program and consisted of accelerating a chemical shift prediction application called PPM_One using the parallel programming model OpenACC. CRPL’s undergraduate student Thomas Huber was also involved in this project. The application originally existed as a serial application only and porting it to OpenACC allowed to test for both multicore and GPU acceleration.

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CRPL Lab members - Summer Internships

We have been busy this summer!! Eric Wright spent a month at National Center for Atmospheric Research (NCAR, Boulder, Colorado) working with researchers on our new collaborative project. Maurico Ferrato interned at the National Cancer Institute (NCI, Bethesda, Maryland) working with researchers on ECP CANDLE Deep Learning Project. Jose Monsalve Diaz has been spening his time with our collaborators in Oak Ridge National Lab (ORNL) and is working on ECP SOLLVE project that is about building the validation and verification testsuite for OpenMP 4.

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Blog on OpenACC Validation and Verification (V&V) Testsuite

Purpose of the V&V Testsuite A comprehensive and community-driven OpenACC validation suite is an essential tool for computing facilities that procure and evaluate large production and experimental systems to test OpenACC compilers’ implementations, its coverage of a given specification, conformance to the specification and consistency with the definition of the features. Testsuite available on Github The OpenACC Validation and Vetification Testsuite is available on GitHub for anyone to download and use.

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Robbie Presents His Research at PASC 2018

On Tuesday, July 3, 2018, Robbie presented his work on ORNL’s Minisweep miniappliation at The Platform for Advanced Scientific Computing (PASC) Conference. Watch his presentation below by clicking on the image.

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Accelerating Chemical Shift Prediction of Protein Structures using GPUs

The Vertically Integrated Project (VIP) program is a multi-year research as well as credit-based program for undergraduate students. Four students, Eric, Mauricio, Thomas and Edwin of CIS/CPEG recently won the VIP Best Poster Award in a inter-regional competition held at UDEL. They took a chemical shift prediction application called PPM_One, and accelerated it on state-of-the-art GPUs using the directive-based programming standard OpenACC. Results showed that the a dataset of ~2 million atoms running sequential for over 10+ hours took only 2 minutes on NVIDIA V100 GPUs.

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Accelerating Nuclear Reactor Modeling Code on GPUs

Over the past year, Prof. Chandrasekaran and Robert Searles have teamed up with researchers Wayne Joubert and Oscar Hernandez of Oak Ridge National Lab in an effort to accelerate a miniapp called Minisweep. Minisweep is representative of the main computational kernel of a production Sn radiation transport application called Denovo, which is used for nuclear reactor neutronics modeling. This code is instrumental for nuclear scientists because modeling neutron flow helps them avoid a nuclear meltdown, and it provides them with information that is essential in designing an effective shielding system around the reactor to protect workers from excessive radiation exposure.

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