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San Francisco, CA — Rescale is pleased to announce a channel partnership with Engineering Simulation and Scientific Software Ltd. (ESSS), an ANSYS channel partner based in Brazil, to deliver tailored cloud solutions to ESSS clients in Central and South America. ESSS brings innovative multi-physics CAE solutions into the Latin American market, distributing licenses for CAE software such as ANSYS CFD, ANSYS Mechanical, ANSYS Multiphysics, ANSYS Electronics including both high-frequency and low-frequency products, and Rocky.

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This article was written by Rescale.

本稿は、株式会社サーバーワークスの白鳥様による寄稿です。

白鳥 貴久(しらとり たかひさ)
サーバーワークス クラウドインテグレーション部 技術1課
流体工学の分野で博士(工学)の学位を取得後、2015年4月にサーバーワークスに入社。ネットリサーチ企業のログ分析基盤、国立研究開発法人の画像解析基盤、複合機メーカーのCAE基盤などの構築を担当。

データ転送時のセキュリティと転送効率の向上を実現する”HPC Gateway for ScaleX”

クラウドの計算能力とセキュリティが向上したことにより、製造業や研究機関のお客様がクラウド上で大規模シミュレーションを行う事例が増えてきました。

Rescale ScaleXプラットフォーム(以下ScaleX)は、CAEアプリケーションとその動作環境の管理をすべてRescaleに任せられることから、多くのお客様での採用が広がっています。

エンタープライズのお客様がScaleXを使う上で、解決しなければならない課題が大きく2つあります。1つめはクラウドへのアクセス時のセキュリティ、2つめはお客様拠点とクラウド間での大容量データ転送です。

課題1: クラウドへのアクセス時のセキュリティ

エンタープライズのお客様は、セキュリティポリシーで、外部サーバーへのSSHやRDP接続を制限している場合が多いです。これらの接続は、事前申請したIPアドレスのみに対して許可されているケースがほとんどです。しかし、ScaleX上に構築されるクラスターのIPアドレスは可変であるため、セキュリティポリシーを満たしたうえでSSH接続することが困難でした。

課題2: お客様拠点とクラウド間での大容量データ転送

シミュレーションの結果を確認するため、出力ファイルをダウンロードして可視化することがよくあります。ジョブ内容にもよりますが、出力ファイルが数10GB〜数100GBのサイズになることもあります。したがってインターネット経由のダウンロードは、他の業務に影響が出ないようにするには帯域を絞る必要があり、ダウンロードに時間を要することとなります。

HPC Gateway for ScaleX導入前

HPC Gateway for ScaleX導入前

“HPC Gateway for ScaleX”について

サーバーワークスでは、上記の課題を解決するため、”HPC Gateway for ScaleX”を企画開発し提供を開始いたしました。お客様拠点とScaleXの間にAWS環境を設置し、専用線であるDirect Connect経由でのRescale接続を実現します。

課題1のセキュリティへの対策としては、AWS上に中継用のサーバー(HPC Gatewayサーバー)を構築し、固定のIPアドレスを付与することで対応できます。お客様拠点とAWSの間はDirect Connect、 AWSとScaleX計算クラスターの間はVPC Peering経由で接続できます。

課題2の大容量データ転送の対策としては、HPC Gatewayサーバー経由でファイルを転送することで改善できます。ScaleX上のファイルは、一般的にはRescaleが管理するAmazon S3(高可用性ファイルストレージ)へ保存されます。従ってこの場合、ScaleXからHPC Gatewayサーバーへのファイルダウンロードは、AWS内の通信で完結するため高いデータ転送効率を期待できます。 HPC Gatewayサーバーからお客様拠点までのダウンロードはDirect Connect経由になるため、インターネットの帯域を圧迫する心配はありません。

HPC Gateway for ScaleX導入後

HPC Gateway for ScaleX導入後

まとめ

“HPC Gateway for ScaleX”を利用することにより、ScaleX利用時のセキュリティレベルとファイルのダウンロード効率を高めることができます。また、AWS上にデスクトップサーバーを構築することにより、ファイルをダウンロードせずに客様固有の可視化ツールを使用してシミュレーション結果を確認することも可能です。詳しくはお問い合わせください。

株式会社サーバーワークスについて

サーバーワークスは、2008年よりAWSに特化したAWS導入支援サービスを提供しているクラウドインテグレーターです。
2017年3月現在、500社、2,800プロジェクトを超えるAWS導入実績を誇っており、2014年10月よりAPN (AWS Partner Network (※1)) の最上位パートナー「プレミアコンサルティングパートナー」に3年連続で認定されています。また、2016年11月には、APNのマネージドサービスプロバイダー(MSP)3.0プログラムを取得、2016年には移行コンピテンシーなど多くの資格を獲得し、AWS事業を継続的に拡大させております。
https://aws.amazon.com/partners/find/partnerdetails/?id=001E000000NaBHzIAN (英語)

This article was written by Rescale Japan.

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San Francisco, CA — Rescale, the turnkey platform provider in cloud high performance computing, today announced that it has been named a “Cool Vendor” based on the May 2017 report “Cool Vendors in Cloud Infrastructure, 2017” by leading industry analyst firm Gartner.

The report makes recommendations for infrastructure and operations (I&O) leaders seeking to modernize and exploit more agile solutions, including the following:

  • “I&O leaders should examine these Cool Vendors closely and leverage the opportunities that they provide.”
  • “As enterprises grapple with the right mix of on-premises, off-premises and native cloud, choosing a cloud infrastructure vendor becomes more critical.”  

“Rescale is very excited to be named a Gartner ‘Cool Vendor’ for 2017,” said Jonathan Oakley, VP of Marketing at Rescale. “High-performance computing (HPC) is the fastest growing compute segment of the cloud market with significant pent-up demand as CIOs look for efficiencies and agility in their IT infrastructure during their cloud transformation, while at the same time satisfying the increasing HPC demands of end-users.  Those HPC end-users have become mission critical for the Global Fortune 500 leaders in aerospace, automotive, energy, financial services, industrials, life sciences, and semiconductor industry segments.”

Rescale’s ScaleX platform provides the enterprise with a turnkey multi-cloud solution accessing  the largest network of HPC capacity globally with over 60 data centers locations, as well as hybrid solutions, allowing CIOs to leverage existing infrastructure assets.  There are no compromises with Rescale’s suite of solutions. Rescale works with all major public cloud providers, including Amazon Web Services, Google Cloud Platform, IBM Cloud, and Microsoft Azure, along with over 220 natively-integrated software solutions from leading vendors ANSYS, Dassault Systemes, Siemens, and many others.

Rescale enables immediate benefits across the enterprise, such as:

  • Faster time to market – shortened design cycles and improved software deployment
  • Transformed IT agility – instant access to HPC infrastructure and global collaboration
  • Integrated solutions – hybrid cloud, private cloud, public cloud, and on-premises compute
  • Optimized cost structure – pay as you go for only what you need

About the Gartner Report

The Gartner report, “Cool Vendors in Cloud Infrastructure, 2017” by analysts Philip Dawson, Andrew Butler, Chirag Dekate, Julia Palmer, Adrian Leow, Arun Chandrasekaran, and Dennis Smith, was published on May 5th, 2017.

The Gartner Cool Vendor Logo is a trademark and service mark of Gartner, Inc., and/or its affiliates, and is used herein with permission. All rights reserved. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

About Rescale

Rescale is the global leader for high-performance computing simulations and deep learning in the cloud. Trusted by the Global Fortune 500, Rescale empowers the world’s top scientists and engineers to develop the most innovative new products and perform groundbreaking research and development faster and at lower cost. Rescale’s ScaleX platform transforms traditional fixed IT resources into flexible hybrid, private, and public cloud resources—built on the largest and most powerful high-performance computing network in the world. For more information on Rescale’s ScaleX platform, visit www.rescale.com.

This article was written by Rescale.

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We have made a number of blog posts over the years where we have run some MPI microbenchmarks against the offerings from the major public cloud providers. All of these providers have made a number of networking improvements during this time so we thought it would be useful to rerun these microbenchmarks against the latest generation of VMs. In particular, AWS has released a new version of “Enhanced Networking” that supports up to 20Gbps, and Azure has released the H-series family of VMs which offers virtualized FDR InfiniBand.

My colleague Irwen recently ran the point-to-point latency (osu_latency) and bisection bandwidth (osu_bibw) tests from the OSU Microbenchmarks library (version 5.3.2) against a number of different VM types from Google Compute Engine. For consistency, we’ll use the same library here with Azure and AWS.  The table below includes the best performing machine from Irwen’s post: the n1-highmem-32. The c4.8xlarge represents an AWS VM type from the previous Enhanced Networking generation and the newer m4.32xlarge VM is running the newer version of Enhanced Networking.

In the table below, we list the averaged results over 3 trials. A new pair of VMs were  provisioned from scratch for each trial:

0-byte Latency (us) 1MB bisection bandwidth (MB/s)
GCE (n1-highmem-32) 41.04 1076
AWS (c4.8xlarge) 37.07 1176
AWS (m4.32xlarge) 32.43 1152
Azure (H16r) 2.63 10807

As you might expect, the Azure H-series VMs seriously outpace the non-InfiniBand equipped competition in these tests. One of the frequent criticisms levied against using the public cloud for HPC is that networking performance is not up to the task of running a tightly-coupled workload. Microsoft’s Azure has shown that it is possible to run a virtualized high-performance networking fabric at hyperscale.

That said, while this is interesting from a raw networking performance perspective, it is important to avoid putting too much stock into synthetic benchmarks like this. Application benchmarks are generally a much better representation of real-world performance. It is certainly possible to achieve strong scaling with some CFD solvers with virtualized 10GigE. AWS has published STAR-CCM+ benchmarks showing close to linear scaling on a 16M cell model on runs up to 700 MPI processes. Microsoft has also published some STAR-CCM+ benchmarks showing close to linear scaling on up to 1,024 MPI processes with an older generation of InfiniBand equipped VMs (note that this is not an apples-to-apples comparison because Microsoft used a larger 100M cell model in their tests). It’s also important to highlight that specialized networking fabric typically comes at a higher price point. Additionally, keep in mind is that network speed is just one dimension of performance. Disk IO, RAM, CPU core count and generation, as well as the type of simulation and model size all need to be taken into consideration when making a decision about what hardware profiles to use. One of the advantages of using a multi-cloud platform like Rescale’s ScaleX Platform is that it makes it easy to run benchmarks and moreover, enterprise HPC workloads, across a variety of hardware configurations by simply changing the core type in your job submission request.

Finally, it is impressive to note how far things have come from the original Magellan report. There is a fierce battle going on right now between the public cloud heavyweights and we are starting to see hardware refresh cycles including not only high-performance interconnect but also modern CPU generations (Skylake) as well as GPU and FPGA availability at large scale. The “commodity” public cloud is increasingly viable for a growing number of HPC workloads.

This article was written by Ryan Kaneshiro.