Department of Energy (DOE)

Highlights

In this work, we discuss an approach for that utilizes high-performance computing (HPC) to evolve the hyperparameters and topology of convolutional neural networks in…

For the problem of computing the connected components of a graph, this work considers the design of algorithms that are resilient to transient hardware faults, like bit flips.…

We developed a Nonlinear Level-set Learning (NLL) method for dimensionality reduction in high-dimensional…

We propose a new algorithm to improve the strong scalability of right-looking sparse LU factorization on distributed memory systems. Our 3D algorithm for sparse LU uses a three-dimensional MPI…

We present a novel distributed memory algorithm to improve the strong scalability of the solution of a sparse triangular system. This operation appears in the solve phase of direct methods for…

Quantum field theory (QFT) simulations are a potentially important application for noisy intermediate scale quantum (NISQ) computers. The ability of a quantum…

Among the projects within the Software Technology area of the Exascale Computing Project (ECP) [1] is the SICM project [2] which focuses on delivering a…

The Best Practices for HPC Software Developers (HPC-BP) webinar series is a major component of the outreach efforts of the IDEAS Productivity Project. Since its inception, the project has been…

During the past 20 years, computation has penetrated essentially all areas of research, including science, engineering, technology, and society; advanced modeling, simulation, and data analysis…

The connection between forward backward doubly stochastic differential equations and the optimal filtering problem is established without using the Zakai's equation. The solutions of forward…

Log processing by Spark and Cassandra-based ANalytics (LogSCAN) is a newly developed analytical platform that provides flexible and scalable data gathering, transformation and computation.

Reliability, availability, and serviceability (RAS) events are recorded from almost all components in a high-performance computing (HPC) system and therefore provide useful insights into the…

The most efficient surrogate construction algorithms are carefully tailored towards the specific target model. The tailoring is commonly done on two levels, first selecting the general class of…

Several different approaches are proposed for solving fully implicit discretizations of a simplified Boltzmann-Poisson system with a linear relaxation-type collision kernel.  This system…