The Texas Advanced Computer Center (TACC) has welcomed its Frontera Computational Science Fellowship awardees for 2022-2023. The program provides a year-long opportunity for talented graduate students to compute on the Frontera supercomputer world and collaborate with experts at TACC. TACC released the following profiles and Q&A with the new cohort of fellows: Alma Carolina Escobosa, […]
Dell Technologies Interview: How Cambridge University Pushed the Wilkes3 Supercomputer to No. 4 on the Green500
January 18, 2022 by
[SPONSORED CONTENT] In this interview conducted on behalf of Dell Technologies, insideHPC spoke with Dr. Paul Calleja, director of Research Computing Services at the University of Cambridge, about the Wilkes3 supercomputer, currently ranked no. 4 on the Green500 list of the world’ most energy efficient supercomputers. Dr. Calleja discusses how he and his team developed an low-power strategy for the 80-node Wilkes3 system by the adoption of GPUs and lower clock speeds balanced against high throughput. He also explains how the Dell PowerEdge XE8545 -based cluster, which utilizes AMD EPYC CPUs and the Mellanox InfiniBand interconnect, fits within the university’s larger, heterogeneous Cumulus system, comprised of 2,500 Intel x86 servers.
Univ. of Nebraska Seeks $50M Fed Funding for HPC Center Expansion
October 8, 2021 by
The University of Nebraska–Lincoln is seeking $50 million in federal dollars via the American Rescue Plan to fund supercomputing expansion at the university’s Holland Computing Center. According to an article on its Nebraska Today news site, the university’s proposals seek $75 million in total — $50 million for the computing center and $25 million for […]
Cloudera Shines Educational Spotlight on Data and AI with Children’s Book for 8- to 12-year-olds
September 30, 2021 by
Cloudera, Inc., the enterprise data cloud company, announced “A Fresh Squeeze on Data,” a downloadable children’s book that explains simple ways to problem solve with data in a manner that kids can understand. The book was created in partnership with education company ReadyAI, with the goal of making data and AI more interesting and accessible to 8- to 12-year-olds.
Book Review: Mathematics for Machine Learning
August 4, 2021 by
“Mathematics for Machine Learning” by Marc Peter Deisenroth, A. Aldo Faisal, and Cheng Soon Ong, published by Cambridge University Press, is an excellent way to learn the math behind the models. This review shall highlight all the ways this book is special among the competition. Of all the books I’ve reviewed thus far, this is my favorite. Read on to learn why.
Video Highlights: FeatureTerminatoR Package for R
August 1, 2021 by
FeatureTerminatoR is an R package to remove unimportant variables from statistical and machine learning models automatically. The motivation for this package is simple, while there are many packages that do similar things, few of them perform automated removal of the features from your models. The author provides the video presentation below to help get you familiar with how the package works.
NVIDIA and King’s College London Use Cambridge-1 Supercomputer for Synthetic Brain Image Research
July 26, 2021 by
King’s College London is using the Nvidia-based Cambridge-1 supercomputer to build AI models to generate synthetic brain images by learning from tens of thousands of MRI brain scans taken of patients of various ages and with a variety of diseases. This work is intended to enable scientists to differentiate healthy brains from those that are […]
Global Data Science Competition Gathered Brilliant Minds to Solve Social Problems
July 23, 2021 by
For over two months, 50 teams representing 34 nationalities competed for a spot in the top ten of the World Data League (WDL) – a quest to find long-lasting solutions for social-oriented problems using data.
Registration Now Open for SC21
July 15, 2021 by
SC21 (November 14-19) has announced that registration (both on-site and online) is now open for this year’s conference, to be held for the first time in St. Louis. “We understand there may be unforeseeable events related to COVID-19 that may impact attendee travel or on-site participation,” conference organizers said in their announcement. “If you are […]
Book Review: Machine Learning for Kids
April 20, 2021 by
I greatly enjoyed reading and reviewing this delightful new book, Machine Learning for Kids: A Project-based Introduction to Artificial Intelligence, by Dale Lane, which was developed to introduce machine learning technology to children. It is well-written and includes everything needed to jump-start a kid’s life in data science. The book is just the thing to motivate a young person to extend their innate curiosity to data centric experimentation.
