April 18, 2024
With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that ha Read more…
August 3, 2023
The success of GPU coprocessors has invited developers to focus on combined CPU/GPU performance and optimization. Primarily by using CUDA, (and OpenCL, OpenACC, Read more…
January 14, 2013
At this June's International Supercomputing Conference (ISC'13) in Leipzig, Germany, Gerhard Wellein will be delivering a keynote entitled, Fooling the Masses with Performance Results: Old Classics & Some New Ideas. HPCwire caught up with Wellein and asked him to preview some of the themes of his upcoming talk and expound on his philosophy of programming for performance in the multicore era. Read more…
May 10, 2012
With the fastest supercomputers on the planet sporting multi-megawatt appetites, green HPC has become all the rage. The IBM Blue Gene/Q machine is currently number one in energy-efficient flops, but a new FPGA-like technology brought to market by semiconductor startup eASIC is providing an even greener computing solution. And one HPC project in Japan, known as GRAPE, is using the chips to power its newest supercomputer. Read more…
August 26, 2010
Chinese-made chip adds vector SIMD unit; delivers 128 gigaflops in 40 watts. Read more…
June 30, 2010
The CPU-GPU performance wars bring out the pitfalls of benchmarking. Read more…
January 20, 2010
A bioinformatics scientist looks beyond the Linux cluster. Read more…
November 12, 2009
One man's attempt to to do regular-expression matching with the Larrabee instruction set. 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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