March 11, 2019
Looking for advice on how to deliver HPC to a diverse science user community? MIT’s Lincoln Laboratory has just posted a new paper – Lessons Learned from a Decade of Providing Interactive, On-Demand High Performance Computing to Scientists and Engineers – intended to fill the bill. Read more…
July 5, 2011
Andrew Carr from Bull explained the ways that high performance computing on demand is opening doors to new ways to using and accessing HPC. Read more…
May 18, 2011
French high performance computing vendor Bull announced its HPC cloud service, eXtreme Factory at SC10, emphasizing its value for simulation-driven customers. This week we checked in on progress with the company's head of HPC, Pascal Barbolosi, to see how the platform has weathered its first six months. Read more…
May 11, 2011
Next-generation sequencing has opened a world of possibilities for science and medicine, but for providers of remote high performance computing like Penguin Computing via its HPC on demand service, the new world of massive genomics analytics has opened other doors--for researchers and their own business model. Read more…
October 5, 2010
Last week, HPC resource provider R Systems hosted its annual HPC 360 conference with a distinct focus on empowering the missing middle of manufacturing via access to high-performance computing capabilities. The event highlighted the need for complex software packages for modeling and simulation and on a larger level, emphasized the value of the "Silicon Prairie" as an enabler for businesses feeding into the larger international manufacturing supply chain. Read more…
September 29, 2010
Data accumulation rates are growing astronomically and managing data in traditional ways is getting difficult in the same proportion. HPC is emerging as a champion for large-scale data management needs in the enterprise. It is required by businesses that rely on high powered analytics to provide data driven insights, companies that need more than simple reports and dashboards and is increasingly being delivered on-demand via HPC as a Service. Read more…
August 11, 2010
The question of whether to invest in a cluster, to make use of HPC on demand services or to look to the public cloud is difficult to answer but some have found that HPC as a Service (renting a cluster) makes financial sense while suiting complex workloads due to the support a large cloud provider might not be able to offer. Read more…
July 20, 2010
Rocky Mountain Supercomputing Center aims to democratize HPC via computing on-demand model. 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.
© 2024 HPCwire. All Rights Reserved. A Tabor Communications Publication
HPCwire is a registered trademark of Tabor Communications, Inc. Use of this site is governed by our Terms of Use and Privacy Policy.
Reproduction in whole or in part in any form or medium without express written permission of Tabor Communications, Inc. is prohibited.