July 10, 2013
This week we talked with AMD's GM of the Server Business Unit, Andrew Feldman about his company's role in the future of HPC. We asked how invested they are in the future of this market, what technologies will push their drive forward, and where they see the biggest opportunities in high performance computing. Interestingly, we found that.... Read more…
January 9, 2012
<p>The impact of using supercomputers to solve complex calculations and simulate atomic structure behavior is tremendous, reducing some scientific research (such as this Germanium-72 experiment) from months to less than a week. In a short period of time scientists can now perform many more experiments and advance discovery in real-time.</p> Read more…
October 12, 2011
Appro is doing a brisk business over at the Department of Energy. After winning the DOE's second Tri-Lab Linux Capacity Cluster contact back in June, Appro has been tapped once again to provide Los Alamos National Laboratory (LANL) with yet another high performance computing cluster. The new Mustang supercomputer, installed there last month, will give the lab another 353 teraflops of number crunching capacity. Read more…
June 16, 2011
This week at the AMD Fusion Developer Summit we sat down with AMD's Margaret Lewis to discuss the role the chipmaker will play in the high-performance clouds of the future, how its Opteron has served as a cloud datacenter foundation, and what the future holds following the introduction of Bulldozer later this year. Read more…
September 16, 2010
Although 2010 still has a few months left to go, the competition in the x86 server processor arena for 2011 is already setting up to be a knock-down, drag-out fight. Both AMD and Intel are introducing new high-end server chips with revamped microarchitectures next year, and, at the same time, upping the core counts over their previous generation products. Read more…
August 24, 2010
Advanced Micro Devices is hoping Bulldozer, the company's first x86 microarchitecture redesign in seven years, will bring back the glory days for the Opteron. AMD revealed additional details about the new architecture this week during the Hot Chips conference at Stanford University. Read more…
June 23, 2010
Has the big multicore Xeon and Opteron server jumped the HPC shark? Read more…
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.
Divergent Technologies developed a digital production system that can revolutionize automotive and industrial scale manufacturing. Divergent uses new manufacturing solutions and their Divergent Adaptive Production System (DAPS™) software to make vehicle manufacturing more efficient, less costly and decrease manufacturing waste by replacing existing design and production processes.
Divergent initially used on-premises workstations to run HPC simulations but faced challenges because their workstations could not achieve fast enough simulation times. Divergent also needed to free staff from managing the HPC system, CAE integration and IT update tasks.
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