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HPC Career Notes: June 2021 Edition
In this monthly feature, we'll keep you up-to-date on the latest career developments for individuals in the high-performance computing community. Whether it's a promotion, new company hire, or ev …
Using HPC Cloud, Researchers Investigate the COVID-19 Lab Leak Hypothesis
At the end of 2019, strange pneumonia cases started cropping up in Wuhan, China. As Wuhan (then China, then the world) scrambled to contain what would, of course, go on to become the worst pandem …
Berkeley Lab Debuts Perlmutter, World’s Fastest AI Supercomputer
May 27, 2021
A ribbon-cutting ceremony held virtually at Berkeley Lab's National Energy Research Scientific Computing Center (NERSC) today marked the official launch of Perlmutter – aka NERSC-9 – the GPU-accelerated supercomputer built by HPE in partnership with Nvidia and AMD. Read more…
Grocery Stores May Be More COVID-Safe Than Previously Thought, Simulations Show
May 25, 2021
More than a year ago, research from the Finnish supercomputing center CSC went viral – so to speak – when their simulations showed how viral particles from Read more…
OCI Jumps into Arm with Instances and Aggressive Developer Program
May 25, 2021
Oracle Cloud Infrastructure (OCI) today launched a multi-prong Arm initiative including instances (VM and bare metal) based on Ampere’s Altra microprocessor, Read more…
HLRS HPC Helps to Model Muscle Movements
May 13, 2021
The growing scale of HPC is allowing simulation of more and more complex systems at greater detail than ever before, particularly in the biological research sph Read more…
Hyperion Offers Snapshot of Quantum Computing Market
May 13, 2021
The nascent quantum computer (QC) market will grow 27 percent annually (CAGR) reaching $830 million in 2024 according to an update provided today by analyst fir Read more…
Hyperion: HPC Server Market Ekes 1 Percent Gain in 2020, Storage Poised for ‘Tipping Point’
May 12, 2021
The HPC User Forum meeting taking place virtually this week (May 11-13) kicked off with Hyperion Research’s market update, covering the 2020 period. Although Read more…
IBM Debuts Qiskit Runtime for Quantum Computing; Reports Dramatic Speed-up
May 11, 2021
In conjunction with its virtual Think event, IBM today introduced an enhanced Qiskit Runtime Software for quantum computing, which it says demonstrated 120x spe Read more…
Supercomputer-Powered CRISPR Simulation Lights Path to Better DNA Editing
May 5, 2021
CRISPR-Cas9 – mostly just known as CRISPR – is a powerful genome editing tool that uses an enzyme (Cas9) to slice off sections of DNA and a guide RNA to rep Read more…
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Whitepaper
Why Storage Infrastructure Choices Matter for Data-Intensive Organizations
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.
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A Modern Converged Platform to Boost Smart Medical Workloads
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.
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Speed up Innovation with performance gains of up to 42% on the most powerful HPC Cloud
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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