Tom Murphy isn’t one of those teachers who thinks the best way to get students to learn is to pack their heads full of ideas and concepts. Instead, he’d rather have his students figure out the best ways to pack powerful computing systems into briefcases, suitcases and small shipping boxes. Murphy has come up with a number of innovative approaches to teaching his students about high performance computing.
Central Mexico has been a hub of culture and commerce for as long as humans have gathered there. As early as A.D. 750, this region was inhabited by over 100,000 people, and was known as the “Place of the Gods.” Today, Mexico City is the growth center of high performance computing in Mexico and greater Latin America.
As science becomes more data-intensive, whether due to massive amounts of data collected by experimental facilities or increasingly detailed simulations on supercomputers, that same research is in turn increasingly reliant on networking. For most of its 25 years, the Department of Energy’s Energy Sciences Network,has been criticalt in supporting DOE’s research missions.
Last June, in the midst of a nation reeling from the most devastating natural disasters in its nearly 3,000-year history, the high performance computing (HPC) industry quaked in its own surprise with the debut of the newest leader on the Top 500 list of the world's fastest supercomputer — the “K-Computer” at the Advanced Institute for Computation Sciences (AICS) at RIKEN Center in Kobe, Japan.
Kelly Gaither is a major driving force in HPC visualization, development of large “superdisplays” comprised of large, tiled viz-walls in dealing with large data and parallel systems. As Director of Visualization at the Texas Advanced Computing Center (TACC), she currently hosts one of the world's largest scientific visualization “SciVis” systems.
Research Management Bennett Lass Ph.D., PMP Web Exclusive This is the sixth and final article in a series on best practices in Electronic Lab Notebook (ELN) implementation. This article discusses the fifth and last core area: Research Management.
Tackling green data center development challenges Mike Martin On the ground or in the cloud, energy consumption can pose costly dilemmas to data center operators looking to maximize revenue and minimize expense. To keep power costs down and paying clients happy, a three-person international research team has developed — and tested — a straightforward yet novel algorithm that optimizes server operations by balancing power with performance.
Recent research shows HPC sites plan expansion despite growing concerns Steve Conway A decade ago, power and cooling didn’t make it onto the top 10 list of issues HPC data centers said they were facing. Today, power and cooling consistently ranks among data center managers’ top two or three challenges. What’s changed?
Custom cooling distribution unit built on commodity hardware delivers energy and space savings Brent Draney The U.S. Department of Energy’s National Energy Research Scientific Computing Center (NERSC) is one of the largest facilities in the world devoted to providing computing resources and expertise for basic science research to nearly 4,000 researchers from around the globe. To facilitate this research, the center houses a range of HPC systems — including a new 1,120 node system that serves as a combined high performance computing cluster and a scientific cloud computing testbed. The system was installed last year to replace two existing clusters and to support an American Recovery and Reinvestment Act project, called Magellan, that explores whether a cloud computing model could benefit needs of scientists.
Happy Sithole is pioneering all aspects of research and technology frontiers on behalf of South Africa and across the continent. Happy has been integral to numerous African “firsts,” beginning with the inauguration of South Africa's Centre for High Performance Computing (CHPC) in 2007, which featured the first Top 500 system listing for Africa.
Unless some groundbreaking solutions are forthcoming, exascale computing may remain more fancy than fa ct John Kirkley When the Defense Advanced Research Projects Agency (DARPA) issued the report “Exascale Computing Study: Technology Challenges in Achieving Exascale Systems”1 on September 28, 2008, it sent shock waves through the high performance computing (HPC) community. The report flatly stated that current technology trends were “insufficient” to achieve exascale-level systems in the next five to 10 years. The biggest stumbling block? Power.
Using immersion cooling to reach the next level of power density and efficiency Phil E. Tuma Progress in leadership-class computing is being hindered by the limitations of conventional air cooling technology. Multicore chip architectures, faster memory and increases in parallelism have meant an increase in the amount of computational power that must be devoted to communication. While evolving technologies such as 3-D packaging, low-loss materials and improved Z-axis and optical interconnect will play an important role in increasing off-chip and inter-node bandwidth, decreasing signal path length through increased packaging density remains a tried-and-true strategy.
A composite look at four laws, descisions and quidelines related to pharmaceutical data Sandy Weinberg, Ph.D. and Ronald Fuqua, Ph.D. In the U.S. pharmaceutical industries, the collection, storage, mining and analysis of data are subject to a number of disjointed, uncoordinated and occasionally contradictory regulatory restrictions. Pharmaceutical data falls into two general categories, each with differing regulatory oversight and guidelines. In the developmental process, the clinical data that describes tests of product safety and efficacy falls under the purview of the U.S. Food and Drug Administration (FDA).
Today’s technology will improve tomorrow’s computer memory Mike May Although advances in floating point operations per second (FLOPS) often take center stage in high performance computing, faster computation cannot keep forging ahead without equally improved data-storage capabilities. The question is: What technology will spawn tomorrow’s best memory?
A storage system modeled after Google’s BigTable has the edge in data management for next generation Internet and cloud computing users, claim researchers at the University of Texas – Pan American (UTPA) in Edinburg. In tests designed to find the best storage technologies for Web 3.0 — also known as the Semantic Web — Apache’s Hadoop database, HBase, out-performed MySQL Cluster