Highlights

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.…

The Manufacturing Demonstration Facility plans to create a test bed for batteries which will simulate their operation over a variety of different scenarios, to test qualities such as the time it…

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

Representatives of U.S. chemical facilities possessing certain chemicals in excess of published threshold quantities are required to submit to DHS their chemical inventory and other information…

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…

Non-negative matrix factorization(Nmf) is an important tool in high-performance large scale data analytics with applications ranging from community detection, recommender system, feature detection…

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…

Due to the scale and complexity of the Summit system, the OLCF developed and executed a thorough acceptance test plan with two major goals. The first goal was to…

With this work we looked at the overheads of in-transit and in-line visualization at various scales. We demonstrate that in-transit techniques can provide not only a time…

Scaling off-chip bandwidth is challenging due to fundamental limitations such as fixed pin count and plateauing signaling rates. Recently, vendors have turned to 2.5D and 3D stacking to closely…