In this podcast, the Radio Free HPC team honors the Festivus tradition of the annual Airing of Grievances. Our random gripes include: the need for a better HPC benchmark suite, the missed opportunity for ARM servers, the skittish battery in the new Macbook Pro, and a lack of an industry standards body for cloud computing.
Today Nor-Tech announced that it is now integrating the latest release of simulation platform Abaqus into its leading-edge HPC clusters. “We have been working with SIMULIA for many years,” said Nor-Tech President and CEO David Bollig. “While this relationship has been beneficial for both companies, the real winners are our clients because they are able to fully leverage the power of our clusters with Abaqus.”
“As financial institutions acknowledge the importance of data as an asset and as they continue to deploy sophisticated analytics to realize the benefit of that asset, we will begin to see some achieve competitive advantages in this fast-paced marketplace. Of course, these organizations also face continued regulatory scrutiny and disruptive changes to technology that can pose challenges,” said Michael Hay, Vice President and Chief Engineer at Hitachi Data Systems. “Together with our partner Maxeler Technologies, Hitachi Data Systems can help our customers address business demands, stay compliant and transform data into information, insight and opportunities to win.”
Today Nimbus Data announced the award of a patent for its non-blocking all-flash architecture. Nimbus Data’s Parallel Memory Architecture scales capacity and performance linearly within each ExaFlash system, offering latency and throughput performance up to 6x faster scale-up designs. “Conventional HDD-centric architectures employed by the majority of all-flash array vendors trap flash performance behind legacy shared bus and scale-up designs,” stated Thomas Isakovich, CEO and Founder. “Now patented, Nimbus Data’s Parallel Memory Architecture overcomes the limitations of generic off-the-shelf servers, capturing the full performance potential of all-flash technology.”
In this video from the Nvidia Booth at SC16, Jonathan Symonds from MapD presents: How GPUs are Remaking Cloud Computing. “This video discusses how price/performance characteristics of GPUs are changing the nature of cloud computing. The talk includes performance benchmarks on Google Cloud, Amazon Web Services and IBM Softlayer as well as a live demonstration.”
Over at Desktop Engineering, Wolfgang Gentzsch and Burak Yenier write that the new 2016 Compendium of Engineering Cloud Case Studies showcases great progress in CAE Cloud Computing. “In the early days of cloud computing, users complained that they got lost in the complexity of accessing and using cloud resources, and once using one cloud they were not able to easily use another cloud when needed. With the advent of software container technology for CAE and other applications this complexity disappeared.”
The New 2016 Compendium of Engineering Cloud Case Studies is an invaluable resource for engineers, scientists, managers and executives who believe in the strategic importance of Technical Computing as a Service, in the Cloud, for their organization. It is a collection of 18 selected real-life case studies written by the participants of the UberCloud HPC Experiment. Among these case studies you will find scenarios that resonate with your own situation. You will benefit from the candid descriptions of problems encountered, problems solved, and lessons learned.
In this podcast, the Radio Free HPC team looks at how Shahin Khan fared with his OrionX 2016 Technology Issues and Predictions. “Here at OrionX.net, we are fortunate to work with tech leaders across several industries and geographies, serving markets in Mobile, Social, Cloud, and Big Data (including Analytics, Cognitive Computing, IoT, Machine Learning, Semantic Web, etc.), and focused on pretty much every part of the “stack”, from chips to apps and everything in between. Doing this for several years has given us a privileged perspective. We spent some time to discuss what we are seeing and to capture some of the trends in this blog.”
Amazon Web Services chief evangelist Jeff Barr announced in a recent blog post that the company was adding Xilinx FPGAs to its Amazon Elastic Compute Cloud (Amazon EC2). The addition of this new hardware will allow users to create accelerated FPGA applications, but AWS will also let users sell these applications on the AWS Marketplace. “We are giving you the ability to design your own logic, simulate and verify it using cloud-based tools, and then get it to market in a matter of days,” said Barr.
“Customers love the flexibility that our turn-key solution and pay-as-you-go hardware give them, and we are excited to be extending that flexibility to ANSYS software users. Agile resources will help our mutual customers utilize computing and simulation to drive new innovations faster across a broad spectrum of industries,” said Rescale co-founder and CEO Joris Poort. “Additionally, enterprises can leverage Rescale’s built-in administration and collaboration tools to manage resources and improve results across the design portfolio, as well as trust in best-in-class security features such as built-in enterprise-grade encryption, SOC2 compliance, and an ITAR compliant platform.”