System design teams can quickly and accurately simulate large and complex hyperscale, automotive, mobile, and aerospace and defense systems
Cadence Design Systems, Inc. (Nasdaq: CDNS) today expanded its system analysis product line with the introduction of the Cadence® Clarity™ 3D Transient Solver, a system-level simulation solution that solves electromagnetic interference (EMI) system design issues up to 10X faster than legacy 3D field solvers and offers unbounded capacity. Built on Cadence’s massively parallel matrix solver technology, the Clarity 3D Transient Solver handles workload levels that previously required time-consuming and expensive anechoic test chambers to test prototypes for electromagnetic compatibility (EMC) compliance. The new solver is capable of simulating large designs that until now have been impractical or unable to be solved, reducing respins and accelerating time to market. This makes it ideal for many complex applications in the hyperscale computing, automotive, mobile, and aerospace and defense markets. For more information, please visit www.cadence.com/go/claritytransient.
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The Cadence Clarity 3D Transient Solver quickly and accurately simulates large and complex hyperscale, automotive, mobile, and aerospace and defense systems, ensuring EMC compliance without expensive test chambers. (Photo: Business Wire)
“As a premier engineering service provider, Ultimate Technologies focuses on quick, efficient and first-time-right designs,” said Satoshi Utsumi, CEO of Ultimate Technologies, Inc. “The Clarity 3D Transient Solver from Cadence allows us to simulate with test-measurement accuracy so we can predict what will be measured during EMI testing, thereby ensuring our customers pass EMI compliance checking on the first pass while dramatically reducing the number of prototype designs. This allows us to shave up to three months off automotive ECU design cycles, reducing design cycle time by as much as 30 percent. With Clarity 3D technology, we can quickly iterate and improve design quality
OpenDrives Delivers Scale-Out Storage Capabilities with Debut of Powerful New Centralized Software Management System Atlas 2.1
Scales Software Capabilities to Support Enterprise-Grade Businesses Globally with Features Driving Scalability, Operational management, Performance Analytics, and Service Availability
Floating Software Screens
LOS ANGELES, Oct. 07, 2020 (GLOBE NEWSWIRE) — OpenDrives, the global provider of enterprise-grade, hyper-scalable network-attached-storage (NAS) solutions, announces today the availability of Atlas 2.1, the next version of its software platform and file system that powers all OpenDrives storage solutions. Atlas 2.1 enables a scale-out storage architecture to accelerate performance, power, and flexibility of OpenDrives’ storage lineup, including the recently released Ultra Hardware series. Customers are now able to overcome significant constraints within key functional areas, such as scalability, operational management, performance analytics, and service availability.
“Many people think of storage as purely hardware. While it underpins the processes and interconnections within a storage solution, it’s the software that drives true performance,” said Sean Lee, Chief Product and Strategy Officer at OpenDrives. “Debuting Atlas 2.1 is a significant step towards more fully software-defined storage solutions. We’re proud to reach this milestone, scaling OpenDrives as a boutique hardware company to provide enterprise-grade customers with software that, for the first time, provides customers with the infrastructure they need to enable performance scale-out storage capabilities.”
Atlas 2.1 includes features that allow companies to massively scale outward while maintaining scale-up performance. These features include: storage clustering, distributed file systems, containerization, conditional automation, centralized management and visibility, cloud storage support, and high-availability.
Storage Clustering allows individual scale-up devices, or nodes, to be aggregated together forming a cluster. This parallel distributed architecture enables balanced workloads among cluster nodes without sacrificing performance hits such as increased latency.
Containerization brings functions such as compute and the application itself closer to where the data resides in our storage. While many vendors commonly approach containerization from the compute side,