pPython seeks to provide a parallel capability that provides good speed-...
Python has become a standard scientific computing language with fast-gro...
pPython seeks to provide a parallel capability that provides good speed-...
Supercomputers are complex systems producing vast quantities of performa...
First responders and other forward deployed essential workers can benefi...
Diverse workloads such as interactive supercomputing, big data analysis,...
Hypersparse matrices are a powerful enabler for a variety of network, he...
Artificial Intelligence/Machine Learning applications require the traini...
Rapid launch of thousands of jobs is essential for effective interactive...
Pandemic measures such as social distancing and contact tracing can be
e...
The SuiteSparse GraphBLAS C-library implements high performance hyperspa...
In this paper, we present a novel and new file-based communication
archi...
Federated authentication can drastically reduce the overhead of basic ac...
The Intel Xeon Phi manycore processor is designed to provide high perfor...
The Dynamic Distributed Dimensional Data Model (D4M) library implements
...
For decades, the use of HPC systems was limited to those in the physical...
Simulation, machine learning, and data analysis require a wide range of
...
The Spectre and Meltdown flaws in modern microprocessors represent a new...
Interactive massively parallel computations are critical for machine lea...
Massive power-law graphs drive many fields: metagenomics, brain mapping,...
Increasing amounts of data from varied sources, particularly in the fiel...
Knights Landing (KNL) is the code name for the second-generation Intel X...
SciDB is a scalable, computational database management system that uses ...