Tags » High-Performance Computing

Raspberry Pi B+ debuts in Bentcreek Studio!!!

The Raspberry Pi is a series of credit card-sized single-board computers developed in the UK by the Raspberry Pi Foundation with the intention of promoting the teaching of basic… 74 more words

Home Automation

Time for Critical Network Operations

While precise time synchronization is necessary to satisfy compliance-based record-keeping, new applications for distributed and high performance computing have raised the bar significantly.

Cloud computing. Big data. 273 more words

Telnet Networks

One-Atom-Thin Silicon Transistors Hold Promise for Super-Fast Computing

University of Texas at Austin (02/03/15)

A major advance involving the world’s thinnest silicon material could lead to dramatically faster, smaller, and more efficient computer chips. 189 more words

High Performance Computing

Building Trustworthy Big Data Algorithms

Northwestern University Newscenter (01/29/15) Emily Ayshford

Northwestern University researchers recently tested latent Dirichlet allocation, which is one of the leading big data algorithms for finding related topics within unstructured text, and found it was neither as accurate nor reproducible as a leading topic modeling algorithm should be. 145 more words

High Performance Computing

Stanford Researchers Use Big Data to Identify Patients at Risk of High-Cholesterol Disorder

Stanford University (01/29/15) Tracie White

Stanford University researchers have launched a project designed to identify hospital patients who may have a genetic disease that causes a deadly buildup of cholesterol in their arteries. 175 more words

High Performance Computing

Genome Assembly without the RAM

(De novo assembly of Next Generation Sequencing (NGS) DNA reads)

Assembling genomes with little memory.

De novo assembly is the construction of genomes without reference to existing known genomes.  887 more words

Bioinformatics

Evolutionary Approaches to Big-Data Problems

MIT News (01/14/15) Eric Brown

The Massachusetts Institute of Technology’s (MIT) AnyScale Learning For All (ALFA) group investigates a wide range of big data challenges. ALFA focuses on working with raw data that comes directly from the source and then investigates the data with a variety of techniques, most of which involve scalable machine learning and evolutionary computing algorithms. 166 more words

High Performance Computing