January 18, 2024
Everyone in HPC knows the general rule, "the faster the memory, the better," but drilling down into this rule of thumb, a better question is, "How much faster a Read more…
February 4, 2020
Computer scientists at the University of Michigan have come up with a faster way to schedule cloud microservices via a new algorithm running on a custom processor. The platform, called Q-Zilla, is based on a widely used scheduling algorithm... Read more…
January 23, 2017
“You can buy your way out of bandwidth problems. But latency is divine.” This sentiment, from Intel Technical Computing Group CTO Mark Seager, seems as o Read more…
April 10, 2013
Amazon's EC2 Cluster Compute instance goes head-to-head with Myrinet 10GigE cluster. Read more…
February 15, 2013
Chinese vendor commissions bare-metal, utility supercomputing service. Read more…
October 20, 2011
Research project uses DRAM as the basis of datacenter storage.. Read more…
August 23, 2010
High frequency trading (HFT), often called algorithmic or low latency trading, relies on fast computers and even faster networks to execute trades in sub-second and even sub-millisecond timeframes. It has generated massive profits for those firms skilled enough to handle the complexities of the software and hardware. As such, it has become the dominant method for equity trading in the US, but it's popularity is expanding worldwide, especially Asia. HPCwire got the opportunity to ask Chuck Chon, chief technology officer of SBI Japannext, about the HFT business in Japan. Read more…
June 17, 2010
The battle for the lowest possible latency has been raging in the financial services sector for years but is not the most critical factor for every segment of the industry. While low latency will be enhanced in cloud developments, for now it appears that only this small non-latency-obsessed market can be reached by cloud vendors. 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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