A team of Brown University researchers has made substantial progress in an effort to create a new type of molecular data storage system. In a study published in Nature Communications, the team stored a variety of image files -- a Picasso drawing, an image of the Egyptian god Anubis and others -- in arrays of mixtures containing custom-synthesized small molecules.

Imagine that you’re building a development with 500 houses. You don’t want to end up with a bungalow, a colonial and a loft all spackled together. Yet this is the inevitable result if none of the builders are talking to each other and there’s no easily accessible master plan.

While supercomputers are arguably the most exciting segment of the high performance computing market, the majority of systems deployed in any given year do not fit into this elite category.

Inspired by the science fiction of the spacefaring Romulans of Star Trek, astrophysicists have developed cosmological computer simulations called RomulusC, where the ‘C’ stands for galaxy cluster. With a focus on black hole physics, RomulusC has produced some of the highest resolution simulations ever of galaxy clusters, which can contain hundreds or even thousands of galaxies.

The concept of countrywide and worldwide research collaboratives is relatively new. Several decades ago it was common for a department head to have multiple vertical file cabinets with paper folders housing the work of researchers and students in his or her department.

Satoshi Matsuoka got his start in computers in the 1980s, when he co-developed a popular pinball game for the Super Nintendo games console. Now, some 40 years later, he’s leading Japan’s Fugaku project, which aims to build one of the fastest and greenest supercomputers in the world.

MIT researchers have invented a machine-learning tool that predicts how fast computer chips will execute code from various applications. To get code to run as fast as possible, developers and compilers — programs that translate programming language into machine-readable code — typically use performance models that run the code through a simulation of given chip architectures.

You are invited to submit papers, workshops, tutorials and more for the PEARC20 Conference that will be held in Portland, July 26–30, 2020. Presentations may address any topic related to advanced research computing, but topics consistent with one or more of the following four technical tracks are of particular interest: advanced research computing systems, application software and support, professional development and machine learning and artificial intelligence.

Looking for new materials that make photovoltaic solar cells more efficient is a challenge that has taxed current supercomputing resources to the max. That’s why a number of academic institutions are collaborating with Carnegie Mellon University to tackle the task.

Molecular modelling and computer simulations have played a fundamental role in the development of science since the second half of the last century. They have opened a new venue in our understanding of natural phenomena and in our ability to address basic scientific challenges.

Analog machine learning hardware offers a promising alternative to digital counterparts as a more energy efficient and faster platform. Wave physics based on acoustics and optics is a natural candidate to build analog processors for time-varying signals.

You are invited to submit papers, workshops, tutorials and more for the PEARC20 Conference that will be held in Portland, July 26–30, 2020. Presentations may address any topic related to advanced research computing, but topics consistent with one or more of the following four technical tracks are of particular interest: advanced research computing systems, application software and support, professional development and machine learning and artificial intelligence.

On a hillside above Stanford University, the SLAC National Accelerator Laboratory operates a scientific instrument nearly 2 miles long. In this giant accelerator, a stream of electrons flows through a vacuum pipe, as bursts of microwave radiation nudge the particles ever-faster forward until their velocity approaches the speed of light, creating a powerful beam that scientists from around the world use to probe the atomic and molecular structures of inorganic and biological materials.

Kyoko Hine, Assistant Professor at the Department of Computer Science and Engineering, Toyohashi University of Technology and a research team at Tokyo Denki University have found that virtual reality (VR) may interfere with visual memory. In recent years, there has been high expectation that VR will be used effectively not only in multimedia and entertainment, but also in educational settings.

Researchers at Caltech have demonstrated that machine-learning algorithms can monitor online social media conversations as they evolve, which could one day lead to an effective and automated way to spot online trolling.

You are invited to submit papers, workshops, tutorials and more for the PEARC20 Conference that will be held in Portland, July 26–30, 2020. Presentations may address any topic related to advanced research computing, but topics consistent with one or more of the following four technical tracks are of particular interest: advanced research computing systems, application software and support, professional development and machine learning and artificial intelligence.

Any tech breakthrough is almost always a joint effort. To add a single feature to an iPhone app, teams of front-end engineers, user experience designers and graphic designers must work with cyber security specialists, back-end developers and iOS developers — just for starters. That means that today’s best engineers are prodigious collaborators and communicators. And yet we still train too many prospective coders to work alone.

In 2006, Google bought YouTube for more than $1 billion, Apple was preparing to announce the first iPhone, and the American housing bubble began to deflate. Claire Stapleton, then a senior at the University of Pennsylvania, faced the same question over and over: What did she plan to do with that English degree? She flirted, noncommittally, with Teach for America.

An organization of school technology leaders has given a peek at the "hurdles, accelerators and tech enablers" that innovation efforts in K-12 will face in the coming year. The Consortium for School Networking (CoSN) developed the list based on an annual innovation survey among its members and discussion among an advisory board that includes nearly 100 education leaders and practitioners.

You are invited to submit papers, workshops, tutorials and more for the PEARC20 Conference that will be held in Portland, July 26–30, 2020. Presentations may address any topic related to advanced research computing, but topics consistent with one or more of the following four technical tracks are of particular interest: advanced research computing systems, application software and support, professional development and machine learning and artificial intelligence.

Things get a little wonky at exascale and hyperscale. Things that don’t matter quite as much at enterprise scale, such as the cost or the performance per watt or the performance per dollar per watt for a system or a cluster, end up dominating the buying decisions.

A bespectacled eight-year-old has become the poster child for China’s campaign to dominate the world of high tech. From his home in Shanghai, Vita Zhou hosts training videos for other children on how to code for artificial intelligence.

Industry experts, competitors and even your customers are talking about machine learning and artificial intelligence. As they continue to grow in popularity, more companies than ever before are seeking ways to use advanced solutions to extract data, connect it and employ it for meaningful insights and learning.

You are invited to submit papers, workshops, tutorials and more for the PEARC20 Conference that will be held in Portland, July 26–30, 2020. Presentations may address any topic related to advanced research computing, but topics consistent with one or more of the following four technical tracks are of particular interest: advanced research computing systems, application software and support, professional development and machine learning and artificial intelligence.

The rush to adopt machine learning (ML) in broad applications hasn’t yet been matched by efforts to use ML to inform computer architecture design. That’s now changing and a paper (A Survey of Machine Learning Applied to Computer Architecture Design) by Oregon State University researchers and senior IEEE members Drew Penney and Lizhong Chen provides a starting point.