The TOP500 project was started in 1993 to provide a reliable basis for tracking and detecting trends in high-performance computing. Twice a year, a list of the sites operating the 500 most powerful computer systems is assembled and released. The best performance on the Linpack benchmark is used as a performance measure for ranking the computer systems.
The TOP500 list provides international rankings of general-purpose HPC systems that are in common use for high-end applications. Twice a year, in June and November, a new list featuring the sites operating the 500 most powerful computer systems is assembled and released. The project was started in 1993 to provide a reliable basis for tracking and detecting trends in high-performance computing.
Optimization of workflows in a modern HPC environment is now a globally distributed, heterogeneous-hardware-challenged task for users and systems administrators. Not only is this a mouthful to say, it is also a complex task that requires significant software support.
As the HPC community hurtles toward the exascale era, it’s good to pause and reflect. Here are a few thoughts… The DOE CORAL procurement signaled that extreme-performance supercomputers from the U.S., Japan, China and Europe should reach the 100-300PF range in 2017-2018. That’s well short of DOE’s erstwhile stretch goal of deploying a trim, energy-efficient peak exaflop system in 2018 or so, but still impressive. It would appear...
Your corresponding editor really loves to review these genomics programs, as genomics (the study of the entire gene complement in an organism) is his area of research, and an exciting one at that. It is now at the center of a cutting-edge movement within the area of personalized medicine. The software for doing this is highly advanced in that its functioning mates the precision of mathematics/statistics with the variability of biology...
Life scientists are increasingly reliant on advanced computation to advance their research. Two very prominent examples of this trend will be presented this summer at the ISC High Performance conference, which will feature a five-day technical program focusing on HPC technologies and their application in scientific fields, as well as their adoption in commercial environments.
This new series of four articles takes a look at the UK’s Medicines and Heathcare products Regulatory Agency (MHRA) guidance for industry on data integrity. The focus of these articles is an interpretation and critique of the second version of the MRHA data integrity guidance for laboratories working to European Union GMP regulations, such as analytical development in R&D and quality control in pharmaceutical manufacturing.
Over 75 percent of a laboratory experiment or analysis starts with some kind of manual process, such as weighing. The majority of the results of these measurements are still written down manually on a piece of paper or re-typed into a computer or tablet. ELN and mobile devices like tablets are married to each other. However, to connect a balance, you need to be an IT professor...
On April 15, 2014, a Wilmington, DE, business owner, was driving home on the I-495 bypass, as he had done for 25 years. While traveling on the twin three-lane bridges that span the Christiana River, he noticed that the normally parallel bridges were offset by nearly 18 inches in height and the apparent listing of one of the lanes had created a large gap between the bridges through which the ground was visible, some four stories below.
Much of the world’s industries are affected by weather. UBIMET is one of the world’s leading private weather service providers. The company offers a range of precise, real-time micro-climate forecasting and alerts, historical weather data, and other services to several million customers around the globe. UBIMET’s competitive advantage lies in the complex character of their solutions and depth of their science and technology.
Review and Critique of the MRHA Data Integrity Guidance for Industry — Part 4: System Design, Definitions and Overall AssessmentMay 29, 2015 1:56 pm | by R.D. McDowall, Ph.D. | Comments
This is the final part of a series reviewing and critiquing recent MHRA guidance for industry on data integrity. The first part of the series provided a background to the guidance document and discussed the introduction. The second part reviewed the data governance system, and the third part discussed data criticality and lifecycle. This part reviews the system design, some of the definitions, and finishes with an overall assessment.
Review and Critique of the MRHA Data Integrity Guidance for Industry — Part 3: Data Criticality and Data Life CycleMay 29, 2015 12:21 pm | by R.D. McDowall, Ph.D. | Comments
This is the third of a four-part series reviewing and critiquing the recent Medicines and Healthcare products Regulatory Agency guidance for industry document on data integrity. The first part of the series provided a background to the guidance document and discussed the introduction to the document. The second part reviewed and discussed the data governance system. In this part, we will look at data criticality and the data life cycle.
Review and Critique of the MRHA Data Integrity Guidance for Industry — Part 2: Data Governance SystemMay 29, 2015 11:27 am | by R.D. McDowall, Ph.D. | Comments
This is the second of a four-part series reviewing and critiquing the recent Medicines and Healthcare products Regulatory Agency (MHRA) guidance for industry document on data integrity. The first part of the series provided a background to the guidance document and discussed the introduction to the document. In this part, we will look at the MHRA requirement for a data governance system.
This new series of four articles takes a look at the new UK’s Medicines and Heathcare products Regulatory Agency (MHRA) guidance for industry on data integrity. Topics in this introductory article include global data integrity problems, the MHRA approach to data integrity, a MHRA data integrity guidance overview, and an introduction to the MHRA guidance.
The real benefit of laboratory information management systems (LIMS) is difficult to calculate. Let’s take a look at some key considerations, starting with the question of whether to build the LIMS yourself or buy a commercial LIMS… Advocates for building a new LIMS themselves usually state that their lab is so unique, they cannot use a commercial LIMS. However, very few labs are truly unique ...