Research Highlights

Oak Ridge, Lawrence Berkeley National Labs Share 2018 ACM Gordon Bell Prize

Two US Department of Energy (DOE) National Laboratories were recently awarded the 2018 Association for Computing Machinery’s (ACM’s) Gordon Bell Prize for work done on the Oak Ridge Leadership Computing Facility’s (OLCF’s) Summit supercomputer, the most powerful system in the world....

High-resolution modeling assesses impact of cities on river ecosystems

OAK RIDGE, Tenn., Aug. 23, 2017 – New mapping methods developed by researchers at the Department of Energy’s Oak Ridge National Laboratory can help urban planners minimize the environmental impacts of cities’ water and energy demands on surrounding stream ecologies.

In an...

ORNL scientists apply imaging, computational expertise to St. Jude research

In the quest to better understand and cure childhood diseases, scientists at St. Jude Children’s Research Hospital accumulate enormous amounts of data from powerful video microscopes. To help St. Jude scientists mine that trove of data, researchers at Oak Ridge National Laboratory have...

Simulating Extreme Storms over the Alabama-Coosa-Tallapoosa River Basin

A numerical weather forecasting model (WRF) was used to simulate 120 storms over the Alabama-Coosa-Tallapoosa (ACT) river basin to explore the effect of climate change on probable maximum precipitation (PMP).  

PMP is defined as the largest rainfall depth that could physically...

Cryogenic Memory Cell Design Based on Small Coupled Arrays of Josephson Junctions

Researchers proposed a cryogenic memory cell design that has a potential to substantially outperform the existing memory cells, achieve much faster access times and lower access and dissipation energies, and reduce the size of the memory cell. Designing fast, energy efficient and small...

ORNL Quantum Information researchers featured in Inside Science

Inside Science has published a story about a recent experiment by ORNL researchers Brian Williams, Ron Sadlier, and Travis Humble. Using a technique known as superdense coding, Williams and co-workers managed to achieve a data rate of 1.67 bits per qubit (quantum bit), setting a new...

ORNL Quantum Information Science Group researchers earn "Editor's Pick" for high quality research in Optics Letters

Joseph M. Lukens, Nicholas A. Peters, and Raphael C. Pooser's forth-coming article in Optics Letters, "Naturally stable Sagnac–Michelson nonlinear interferometer" has earned an "Editor's Pick" to promote it for its high technical quality and its expected interest to the...

Tailoring Plastics to Soak up Carbon Dioxide

Achievement: Designed a polymer for selective and reversible carbon dioxide (CO2) capture.

Significance and Impact: The new polymer that is based on amidines can provide a more efficient alternative to conventional polyethyleneimine (...

Data Analytics for Additive Manufacturing

Overview: Recent advances and success stories in Additive Manufacturing (AM) or 3D printing have resulted in references to the process as the “next industrial revolution.”   Producing parts without defects or that will adhere to failure standards are part of the...

Developing Fault Catalog for OLCF Systems (Titan, Jaguar, EOS)

Achievement: Developed analysis tools for analyzing system logs from Titan, Jaguar and Eos systems from OLCF to extract characteristics of interest and created fault catalogue.

Significance and Impact: Understanding the characteristics of system...

Mini-Ckpts: Surviving OS Failures in Persistent Memory

Achievement: Developed a novel warm-reboot capability for the operating system (OS) in extreme-scale high-performance computing (HPC) systems to enable recovery from OS failures with minimal impact on running scientific applications.

Significance and...

Layout-Aware Data Scheduler for Bulk Data Transfer over Terabit Networks

Achievement: Developed an end-to-end data transfer framework, named LADS, for bulk data transfer for terabit networks that is optimized for parallel file systems on both the source and sink. This work includes techniques to improve data transfer under congestion,...

Theoretical Study of the Initial Stages of Self-Assembly of a Carboxysome’s Facet

Achievement: Devised a novel and accurate computational technique for investigating the self-assembly of large macromolecules, and used this method to reveal the initial stages of self-assembly of the carboxysome, the prototype bacterial micro-compartment.

 ...

New ORNL Paper Surveys Approximate Computing Techniques

As rising performance demands confront plateauing resource budgets, approximate computing (AC) has become not merely attractive, but imperative. We have performed a comprehensive survey of techniques for AC in CPU, GPU and FPGA and various processor components (e.g. cache, main memory...

Extending Supramolecular Polymerization to New Lengths

A molecule, called a nucleoside analog and which is composed of an Adenine moeity and glycol group, was deposited on top of the Au(111) surface and studied with scanning tunneling microscopy and density functional theory calculations. The molecule was found to self-assemble into a...

Revealing Various Stacking Patterns Between Layers in Two-dimensional (2D) Materials

In this work unique twisted bilayers of MoSe2 with periodic multiple stacking configurations and interlayer couplings were discovered in the narrow range of twist angles, 60± 3°, using ulra-low frequency Raman spectroscopy and first-principle theory. We showed that the...

Functional Programming Computational Cores Embedded Into Traditional High Performance Computing Language Programs

We demonstrated feasibility of embedding functional programming (FP) computational cores written in Scala into programs written in three traditional languages used to implement high performance computing (HPC) applications: Fortran, C, and C++. Measured the performance and overhead of...

Materials scientists use ORNL's CADES to transform big data to 'smart data' for rapid image analysis

The US Department of Energy’s Oak Ridge National Laboratory (ORNL) is home to state-of-the-art microscopes at ORNL’s Center for Nanophase Materials Sciences (CNMS). While the center’s microscopes are capable of imaging materials at incredibly small scales—down to individual atoms and...

Researchers use machine learning to find useful structural properties in neutron and x-ray data

We live in an imperfect world—and that applies to the materials that make up our fuel cells, magnets, solar cells, batteries, and other energy technologies. Materials contain impurities and defects that influence strength and other properties. Now, a team of researchers with the US...

The Need for Speed

Early science apps see serious speedups with Titan’s GPUs

 

Since the Oak Ridge Leadership Computing Facility’s (OLCF’s) Titan supercomputer began accepting its full suite of users on May 31st, science has been picking up steam.

With its hybrid...

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