PITTSBURGH, Oct. 25, 2017 — Rescale and ANSYS (NASDAQ: ANSS) are spearheading a simulation and cloud computing program that enables startups to quickly and cost-effectively bring their innovative products to market. The program will provide qualifying startups access to Amazon Web Services (AWS) cloud solutions, Rescale’s big compute resources, and ANSYS Pervasive Engineering Simulation™ tools, which enable startups to run large-scale simulations on par with larger companies.

ANSYS Startup Program

The program removes a key barrier for many startups – access to on-premises and high-performance computing. The ANSYS Startup Program offers low-cost access to ANSYS’ leading suite of engineering simulation products to startups around the world. Through Rescale’s zero-footprint, web-based cloud platform for big compute, program participants can seamlessly run ANSYS simulation tools from a browser window with a standard Internet connection. Companies have access to unlimited computing scale and specialty hardware for multiphysics simulations.

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This article was written by Rescale.

本稿は、Metabiota社のデータサイエンティスト、Kierste Millerによる寄稿です。

MetabiotaMetabiotaで私たちは、感染症とその感染経路の解明に強く心を奪われています。感染症の流行は地球全体に大きなリスクをもたらします。しかし、これらを予測し、監視することは非常に困難です。当社のチームは、保険、民間企業および政府機関のために感染症伝播リスクモデルを作成し、このような一見することのできないリスクを定量化するという課題に取り組んでいます。私たちのエンドユーザーは、感染症の流行に起因する人的または財政的な一定レベルの損失を被る確率を知ることに関心があります。

損失の可能性を評価するために、世界中の疾病伝播事象を予測するのにふさわしいモデルを”シリコン内で”(すなわち、コンピューターシミュレーションによって)作成します。例えば、我々のシミュレーターは、パンデミック・インフルエンザの潜在的な拡散、ならびに2003年のSARSおよび2014年の西アフリカ・エボラ・イベントに類似したアウトブレイクを描写します。私たちは、病気の出現場所、感染速度、感染した人の数、結果として生じる医療利用率と死亡率を確率論的にモデル化します。当社の顧客は、これらの事象に関係する費用に関心を持つことが多いため、経済的影響を定量化する財務モデルとアウトブレイクに関連する保険金請求とを組み合わせています。全体として、私たちは、病気の流行によって引き起こされる潜在的な金銭的損失および人的損失の推定を可能にする、シミュレーションされた非常に大きな事象のセットを作成しています。

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This article was written by Rescale Japan.

This article originally appeared on ENGINEERING.com. To see the full article, click here.

The concept of the digital twin brings versatility to the engineering world. By creating a virtual representation of a product, engineers can investigate designs to further product development, in-service optimizations and quality assurance.

Digital twin

Digital twins help engineers predict real world behavior, optimize designs and gain new insights and understandings of use cases. (Image courtesy of Rescale.)

Now with the implementation of the Internet of Things (IoT), the potential of the digital twin grows.

Engineers can link real-time data into their digital mock-ups, allowing for better understandings of the physical world.

However, digital twins don’t just come off the shelf. Since every modeled behavior is built in different system, engineering and IT teams experience a considerable challenge linking their disparate tools into one model. Joris Poort, CEO of Rescale, explained that this is where vendor-agnostic cloud HPC, like Rescale, can really shine.

To continue reading, please read the full article on ENGINEERING.com.

This article was written by Shawn Wasserman, ENGINEERING.com.

Guest post by Kierste Miller, Data Scientist at Metabiota

Metabiota

At Metabiota, we are fascinated by infectious diseases and the way they spread. Epidemics pose an immense risk to the entire globe; however they are notoriously challenging to forecast and monitor. Our team produces epidemic risk models for the insurance, commercial and government sectors to help address the challenge of quantifying this seemingly unquantifiable risk. Our end users are interested in knowing the probability of experiencing a certain level of human or financial loss due to infectious disease epidemics.

To assess the likelihood of loss, we produce in silico (i.e., performed via computer simulation) models that project plausible disease transmission events across the entire globe. For example, our simulators depict the potential spread of pandemic flu, as well as outbreaks akin to the 2003 SARS and 2014 West Africa Ebola events. We probabilistically model where disease emerges, how quickly it spreads, how many people it infects, and the resulting rates of healthcare utilization and mortality. Our clients are often interested in the costs associated with these events, so we couple disease spread models with financial models that quantify the economic impact and insurance claims related to outbreaks. Altogether, we create an extremely large set of simulated events that allows for the estimation of potential financial and human losses caused by disease epidemics.

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This article was written by Rescale.