June 18, 2013
The world's largest supercomputers, like Tianhe-2, are great at traditional, compute-intensive HPC workloads, such as simulating atomic decay or modeling tornados. But data-intensive applications--such as mining big data sets for connections--is a different sort of workload, and runs best on a different sort of computer. Read more…
November 28, 2012
The semi-annual HPC “500 list” time and its attendant fall iron horse racing season are upon us. Thanks to the hard work of the list keepers, we currently enjoy three major ones to review, compare and contrast: TOP500, Green500 and Graph 500. Each focuses on a distinct aspect of HPC – number crunching, energy efficiency, and data crunching, respectively – and together they allow us to construct our own type of Triple Crown. Read more…
November 21, 2012
Last week at SC12 in Salt Lake Convey pulled the lid off its MX big data-driven architecture designed to shine against graph analytics problems, which were at the heart of the show’s unmistakable data-intensive computing thrust this year. The new MX line is designed to exploit massive degrees of parallelism while efficiently handling hard-to-partition big data applications. Read more…
October 25, 2012
Big data is all the rage these days. It is the subject of a recent Presidential Initiative, has its own news portal, and, in the guise of Watson, is a game show celebrity. Big data has also caused concern in some circles that it might sap interest and funding from the exascale computing initiative. So, is big data distinct from HPC – or is it just a new aspect of our evolving world of high-performance computing? Read more…
June 15, 2012
Since the release of the first TOP500 list in June of 1993, the HPC community has been motivated by the competition to place high on that list. We’re now approaching the twentieth anniversary of the TOP500. In recent years, two additional lists have gained traction: the Green500 and the Graph 500. Would a few more lists be useful? Read more…
January 26, 2011
When announced in 2006, the Cray XMT supercomputer attracted little attention. The machine was originally targeted for high-end data mining and analysis for a particular set of government clients in the intelligence community. While the feds have given the XMT support over the past five years, Cray is now looking to move these machines into the commercial sphere. And with the next generation XMT-2 on the horizon, the company is gearing up to accelerate that strategy in 2011. Read more…
November 19, 2010
If there was a dominating theme at the Supercomputing Conference this year, it had to be GPU computing. Read more…
November 15, 2010
Data-intensive applications are quickly emerging as a significant new class of HPC workloads. For this class of applications, a new kind of supercomputer, and a different way to assess them, will be required. That is the impetus behind the Graph 500, a set of benchmarks that aim to measure the suitability of systems for data-intensive analytics applications. Read more…
In this era, expansion in digital infrastructure capacity is inevitable. Parallel to this, climate change consciousness is also rising, making sustainability a mandatory part of the organization’s functioning. As computing workloads such as AI and HPC continue to surge, so does the energy consumption, posing environmental woes. IT departments within organizations have a crucial role in combating this challenge. They can significantly drive sustainable practices by influencing newer technologies and process adoption that aid in mitigating the effects of climate change.
While buying more sustainable IT solutions is an option, partnering with IT solutions providers, such and Lenovo and Intel, who are committed to sustainability and aiding customers in executing sustainability strategies is likely to be more impactful.
Learn how Lenovo and Intel, through their partnership, are strongly positioned to address this need with their innovations driving energy efficiency and environmental stewardship.
Data centers are experiencing increasing power consumption, space constraints and cooling demands due to the unprecedented computing power required by today’s chips and servers. HVAC cooling systems consume approximately 40% of a data center’s electricity. These systems traditionally use air conditioning, air handling and fans to cool the data center facility and IT equipment, ultimately resulting in high energy consumption and high carbon emissions. Data centers are moving to direct liquid cooled (DLC) systems to improve cooling efficiency thus lowering their PUE, operating expenses (OPEX) and carbon footprint.
This paper describes how CoolIT Systems (CoolIT) meets the need for improved energy efficiency in data centers and includes case studies that show how CoolIT’s DLC solutions improve energy efficiency, increase rack density, lower OPEX, and enable sustainability programs. CoolIT is the global market and innovation leader in scalable DLC solutions for the world’s most demanding computing environments. CoolIT’s end-to-end solutions meet the rising demand in cooling and the rising demand for energy efficiency.
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