Siemens Digital Industries Software says its Solido SPICE simulation tool is now certified across Samsung Foundry’s FinFET and GAA fabrication processes, including the foundry’s 14LPU, 14LPP, 8LPP, 5LPE, SF4P/4LPP, SF4/4LPE, …

The post Solido SPICE certified for Samsung Foundry’s latest processes appeared first on Electronics Weekly .

Humanoid robots will command a $32 billion market in 2027 as major manufacturers  move into mass production next year, according to the latest findings of TrendForce. The market is projected to …

The post Humanoid robots poised for the mass market appeared first on Electronics Weekly .

Vishay is to invest £51 million in Newport Wafer Fab, now called Newport Vishay, which it bought for £142 million in November 2023  in a government-enforced sale from Nexperia which …

The post Vishay to invest £51m in Newport Wafer Fab appeared first on Electronics Weekly .

At Electronica 2024 we caught up with Stephen Morris, GM EMEA, and Dan Deisz, VP Design Technology at Rochester Electronics, as part of our promotional coverage for the event. In …

The post Electronica: Video Interview – Rochester drives long-term semiconductor solutions amid growing demand appeared first on Electronics Weekly .

Yokogawa has updated its WT1800 precision power analyser, first introduced in 2011. Called WT1800R, the new version can take simultaneous 16bit measurements on up to six inputs at 2Msample/s (right, …

The post Precision power analysis on six 16bit channels at 2Msample/s appeared first on Electronics Weekly .

Melexis is aiming at electric motors with family of angle-sensing absolute magnetic encoder ICs that can work at high speed and typically deliver 1° accuracy or better. “By detecting the …

The post Digital angle encoder for motors works at 200,000rpm appeared first on Electronics Weekly .

Amazon Q Developer Java upgrade transformation now offers step-by-step upgrades, and library upgrades for Java 17 applications. This new feature allows developers to review and accept code changes in multiple diffs, and to test proposed changes in each diff step-by-step. Additionally, Amazon Q can now upgrade libraries for applications already on Java 17, enabling continuous maintenance.

This launch significantly improves the code review and application modernization process. By allowing developers to review smaller amount of code changes at a time, it makes error fixes easier when manual completion is required. The ability to upgrade apps already on Java 17 to the latest reliable libraries helps organizations save time and effort in maintaining their applications across the board.

This capability is available within the Visual Studio Code and IntelliJ IDEs.

To learn more and get started with these new features here .

Today, we’re introducing a new feature for Neptune Analytics that allows customers to easily provision Amazon VPC interface endpoints (interface endpoints) in their Virtual Private Cloud (Amazon VPC). These endpoints provide direct access from on-premises applications over VPN or AWS Direct Connect, and across AWS Regions via VPC peering. With this feature, network engineers can create and manage VPC resources centrally. By leveraging AWS PrivateLink and interface endpoints, development teams can now establish private, secure network connectivity from their applications to Neptune Analytics with simplified configuration.

Previously, development teams had to manually configure complex network settings, leading to operational overhead and potential misconfigurations that could affect security and connectivity. With AWS PrivateLink support for Neptune Analytics, customers can now streamline private connectivity between VPCs, Neptune Analytics, and on-premises data centers using interface endpoints and private IP addresses. This approach simplifies this process by allowing central teams to create and manage PrivateLink endpoints and development teams to utilize those PrivateLink endpoints for their graphs without needing to manage them directly. This launch allows developers to concentrate on graph load, thereby reducing time-to-value and simplifying overall management.

Please see AWS PrivateLink pricing for the cost details. You can get started with the feature by using AWS API, AWS CLI, or AWS SDK.
 

Amazon Q Developer launches public preview of Java upgrade transformation CLI (command line interface). The CLI allows you to invoke transformations from the command line and perform transformations at scale.

The CLI provides the following capabilities:

• Transform your Java applications from Java 8, Java 11 to Java 17 (available in the IDE and now in the CLI)
• Custom transformations (new and only in CLI): The CLI will allow you to perform custom transformations you defined specific to your code bases in your organization. Prior to this launch, Amazon Q Developer would upgrade open-source libraries in your Java applications. With custom transformations in the CLI, you can define your own transformations specific to your code bases and internal libraries. You can define custom transformations using ast-grep, a code tool for structural search and replace. Amazon Q Developer can perform your custom transformations and leverage Q’s AI debugging capabilities.
• Build on local environment (new and only in CLI): The CLI will perform the verification build on your local environment, which ensures running unit tests and integration tests during build verifications.

This capability is available in the command line, on Linux and Mac OS. You can learn more about the Code Transformation CLI and get started here .

Amazon FSx for Lustre , a service that provides high-performance, cost-effective, and scalable file storage for compute workloads, now supports Elastic Fabric Adapter (EFA) and NVIDIA GPUDirect Storage (GDS). With this launch, Amazon FSx for Lustre now provides the fastest storage performance for GPU instances in the cloud, delivering up to 12x higher throughput per client instance (1200 Gbps) compared to previous FSx for Lustre systems, so you can complete machine learning training jobs faster and reduce workload costs.

EFA improves workload performance by using the AWS Scalable Reliable Datagram (SRD) protocol to increase network throughput utilization and by bypassing the operating system during data transfer. For applications powered by high-performance computing instances such as Trn1 and Hpc7a, you can use EFA to achieve higher throughput per client instance. GDS support builds on EFA to further enhance performance by enabling direct data transfer between the file system and the GPU memory. This direct path eliminates memory copies and CPU involvement in data transfer operations. With the combination of EFA and GDS support, applications using P5 GPU instances and NVIDIA Compute Unified Device Architecture (CUDA) can achieve up to 12x higher throughput (up to 1200 Gbps) per client instance.

EFA and GDS support is available at no additional cost on new FSx for Lustre Persistent-2 file systems in all commercial AWS Regions where Persistent-2 file systems are available. For more information about this new feature, see the Amazon FSx for Lustre documentation and the AWS News Blog, Amazon FSx for Lustre increases throughput to GPU instances by up to 12x .