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June 23, 2011
HPC accelerator competition is heating up and Japanese supers are scrambling for watts. Read more…
June 21, 2011
Cray enters the International Supercomputing Conference (ISC) with a new generation of its flagship and midrange supercomputer lines, renewed momentum in Europe, and fresh perspectives on HPC market trends and technologies. HPCwire talked with Cray CEO Pete Ungaro and Ulla Thiel, vice president, EMEA to get their perspective on the company's successes, challenges, and future plans. Read more…
June 21, 2011
IDC presented its overview of the market for high performance computing at the International Supercomputing Conference in Germany this week. Tom Tabor reflects on these trends and predictions in this post from Hamburg. Read more…
June 20, 2011
At the International Supercomputing Conference, Michael and Addison talk about Japan's surprising recapture of the number one system on the TOP500, and discuss how Intel is moving forward on its MIC coprocessor plans. Read more…
June 20, 2011
Today at the International Supercomputing Conference (ISC) in Hamburg, Germany, Intel outlined the progress it has made over the last year toward bringing its Many Integrated Core (MIC) coprocessor platform to market. MIC is Intel's answer to general-purpose GPU computing, and like the latter technology, Intel believes it can parlay the its manycore design into future exascale systems. Read more…
June 20, 2011
A Japanese supercomputer took the world title for the fastest computer in the world after the latest TOP500 list was announced Monday morning at ISC'11. Fujitsu's K Computer delivered a world beating 8.162 petaflops on the Linpack benchmark, vaulting over the now second-place 2.57 petaflop Tianhe-1A supercomputer in China and third-place 1.76 petaflop Jaguar supercomputer in the US. Read more…
June 18, 2011
At this week's International Supercomputing Conference in Hamburg, Germany, two of the biggest topics on the agenda are heterogeneous architectures and GPU/accelerator computing. Those emerging trends are joined at the hip, thanks mostly to the efforts of NVIDIA and their industry partners. Intel's ongoing plans for its Many Integrated Core (MIC) co-processor and AMD's introduction of its CPU-GPU "Fusion" processors are yet additional indications that the industry is moving to an architecture where CPUs married to accelerators will provide the next big seismic shift in high performance computing. Read more…
June 17, 2011
Michael and Addison cover this week's top stories in the lead-up to the International Supercomputing Conference, and preview some of the happenings at the Hamburg event. Read more…
Artificial Intelligence (AI) and Deep Learning (DL) are essential business and research tools which provide organizations with valuable insights into their data. However, the complexity of processing and storing this data requires an optimized data path and a storage solution capable of handling these workloads whether in an on-premises datacenter, via the cloud, or a hybrid infrastructure. Legacy storage solutions are not designed for the low-latency, highly parallel, mixed workload requirements found in many stages of the AI data lifecycle.
Building the right AI-enabled environment including compute, networks, applications, and storage takes foresight and planning whether using on- premises, cloud, or a hybrid infrastructure. An AI-enabled datacenter requires intelligent infrastructure that provides flexibility, speed at any scale, and data insight to successfully leverage the value of data. This paper describes how an integrated intelligent infrastructure and optimized data path with AI-enabled storage is required to meet these challenges.
Health data capture, precise data analysis and machine assisted diagnosis are a big focus of the precision medical field. It is critical that medical organizations and researchers have a method for efficiency, simplification, and scalability to run precision medicine workloads. An optimized infrastructure is required to meet the needs of GPU systems capable of running precision medicine applications and workloads.
Read this paper now to learn the benefits for:
This paper describes how Quanta Cloud Technology (QCT) developed the QCT POD for Medical (QPM) platform specifically designed to meet the needs for life science customers. QCT provides an on-premises rack-level system for the healthcare industry. To reach greater flexibility and scaling, QPM offers common building blocks to meet different medical demands, like Next Generation Sequencing (NGS), Molecular Dynamics (MD), and Image Recognition. In addition, QCT optimized the QPM solution to automate launching the NVIDIA Clara application framework for AI-powered imaging and genomics.
Oracle’s next generation HPC architecture with Intel compute instance based on 3rd Generation Intel® Xeon® Scalable processors, code named "Ice Lake", changes the game for HPC in the Cloud. The new HPC Bare Metal instance delivers performance gains of up to 42% compared to the previous generation HPC instance. Oracle Cloud Infrastructure with Intel’s 3rd generation processors also offers the flexibility to choose the right combination of cores and memory to suit workloads. The price per core-hour stays the same as the previous HPC instance, across all Oracle Cloud regions. This combination of improved performance and flat pricing translates to faster simulations and big cost savings.
Join Oracle and Intel and learn how customers are increasing performance for HPC workloads across batch processing, video encoding, electronic design automation (EDA), distributed analytics, data science, AI, and computational fluid dynamics (CFD).
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