pPython seeks to provide a parallel capability that provides good speed-...
Defending community-owned cyber space requires community-based efforts.
...
Matrix/array analysis of networks can provide significant insight into t...
We examine the computational energy requirements of different systems dr...
This paper updates the survey of AI accelerators and processors from pas...
Internet analysis is a major challenge due to the volume and rate of net...
Python has become a standard scientific computing language with fast-gro...
pPython seeks to provide a parallel capability that provides good speed-...
High-Performance Computing (HPC) centers and cloud providers support an
...
Long range detection is a cornerstone of defense in many operating domai...
The Internet has become a critical component of modern civilization requ...
Over the past several years, new machine learning accelerators were bein...
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,...
The Internet has never been more important to our society, and understan...
Hypersparse matrices are a powerful enabler for a variety of network, he...
Artificial intelligence (AI) and Machine learning (ML) workloads are an
...
New machine learning accelerators are being announced and released each ...
Over the past few years, there has been significant interest in video ac...
Artificial Intelligence/Machine Learning applications require the traini...
Rapid launch of thousands of jobs is essential for effective interactive...
Our society has never been more dependent on computer networks. Effectiv...
A Multigrid Full Approximation Storage algorithm for solving Deep Residu...
Pandemic measures such as social distancing and contact tracing can be
e...
The MIT/IEEE/Amazon GraphChallenge.org encourages community approaches t...
The rise of graph analytic systems has created a need for new ways to me...
The SuiteSparse GraphBLAS C-library implements high performance hyperspa...
In this paper, we present a novel and new file-based communication
archi...
Advances in multicore processors and accelerators have opened the flood ...
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
...
Artificial Intelligence (AI) has the opportunity to revolutionize the wa...
For decades, the use of HPC systems was limited to those in the physical...
Analyzing large scale networks requires high performance streaming updat...
Detecting anomalous behavior in network traffic is a major challenge due...
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...
The rise in computing hardware choices is driving a reevaluation of oper...
The rise of graph analytic systems has created a need for new ways to me...
Massive power-law graphs drive many fields: metagenomics, brain mapping,...
An important objective for analyzing real-world graphs is to achieve sca...
Increasing amounts of data from varied sources, particularly in the fiel...
Knights Landing (KNL) is the code name for the second-generation Intel X...
Analysis of DNA samples is an important step in forensics, and the speed...
SciDB is a scalable, computational database management system that uses ...
Virtual machines and virtualized hardware have been around for over half...