December 16, 2016
Allinea Software, whose cross-platform development and performance analysis tools are used by 80 percent of the world’s top 25 supercomputers, has been acquired by ARM Ltd. Read more…
June 3, 2013
The mainstream adoption of accelerator-based computing in HPC is driving the most significant change to software since the arrival of MPI almost twenty years ago. Faced with competing “similar but different” approaches to heterogeneous computing, developers and computational scientists need to tackle their software challenges quickly. They are rapidly discovering that a single unified development toolkit able to both debug and profile is the key to results – whichever platform they choose. Read more…
May 7, 2013
Since the first bug was eradicated from a Mark II system at Harvard in 1940s (an actual moth wedged in a relay, which drove the machine to a standstill) system exterminators have faced a constant spray of challenges. We talk with Allinea co-founder David Lecomber about challenges on Titan and Blue Waters--and the future of debugging exascale ... Read more…
April 15, 2013
Getting scientific applications to scale across Titan's 300,000 compute cores means there will be bugs. Finding those bugs is where Allinea DDT comes in. Read more…
January 7, 2013
A new type of profiling tool, Allinea MAP, was launched at SC12 and has already been widely praised by users who want to spend their budget on results rather than wasted machine time. Users have been at the heart of the design and heavily involved in the creation of the product from the start. Allinea Software's aim was to create a profiler that is easy to use without training and would get results quickly with just 5% runtime overhead. Read more…
As Federal agencies navigate an increasingly complex and data-driven world, learning how to get the most out of high-performance computing (HPC), artificial intelligence (AI), and machine learning (ML) technologies is imperative to their mission. These technologies can significantly improve efficiency and effectiveness and drive innovation to serve citizens' needs better. Implementing HPC and AI solutions in government can bring challenges and pain points like fragmented datasets, computational hurdles when training ML models, and ethical implications of AI-driven decision-making. Still, CTG Federal, Dell Technologies, and NVIDIA unite to unlock new possibilities and seamlessly integrate HPC capabilities into existing enterprise architectures. This integration empowers organizations to glean actionable insights, improve decision-making, and gain a competitive edge across various domains, from supply chain optimization to financial modeling and beyond.
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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