Toradex’s NXP i.MX 8X based System on Module. The i.MX 8X SoCs comes with up to 4x Cortex-A35 and 1x Cortex-M4. The Cortex-A35 is an extreme power-effective 64bit Arm Core, the M4 is used to offload real-time tasks, check for errors to increase safety, and check for errors to further lower the power consumption.
The RAM and cache on the 8X can be protected with ECC (Error Correction Code) which make these SoMs ideal for critical applications such as Industrial Automation, Medical, Railways, etc.
Toradex shows the Colibri iMX8X running a GPU accelerated Qt application. The Apalis iMX8X with ECC will be available soon The Industrial 4.0 demo shows a Real-time Time Motion Control Application. A Toradex Apalis iMX6 powers the Midi-Eagle Computer from Diamond Systems featuring dual ethernet interfaces A CODESYS Soft PLC Stack is running on top of real-time Linux with a motion controller software. The motors are connected via EtherCAT. The system also utilizes an OPC-UA Server from Matrikon The demo was put together by the experienced Toradex Partner BE.Services.
RIMAC, famous for its insanely fast electric cars, demonstrates how the pin-compatibility of the Toradex SoM allows them to simply upgrade from an Apalis iMX6 to an Apalis iMX8QM.
Kynetics is providing Android support for Toradex modules. They show off Android on the i.MX 8 QuadMax but also on the i.MX 7 utilizing the integrated Cortex-M4 Core.
This allows it to run on the Cortex M4 Core an RTOS such as FreeRTOS and offload tasks.
Kynetics also provides an over-the-air (OTA) solution called Update Factory for IoT applications based on Eclipse hawkBit.
Diamond Systems Midi-Eagle Computers http://www.diamondsystems.com/products/midieagle
Matrikon OPC UA https://www.matrikonopc.com/
RIMAC and Toradex https://www.toradex.com/applications/automotive-infotainment/rimac
At SID Display Week 2019, Arm officially launches the Arm Mali -D77 DPU display processor that significantly improves the VR user experience with dedicated hardware functions for VR HMDs, namely: Lens Distortion Correction (LDC), Chromatic Aberration Correction (CAC) and Asynchronous Timewarp (ATW). These are on top of the already feature rich Mali-D71 DPU for premium mobile devices, Mali-D77 changes the way we think about VR workload distribution across the SoC. It enables a significant step-up in the display resolutions and frame rates that can be achieved within the power constraints of mobile VR HMD devices. This will pave the way towards lighter, smaller, more comfortable VR devices free from any cables, which, in turn, could drive the widespread adoption of consumer VR.
At SID Display Week 2019, Arm Mali -D77 DPU display processor is launched, that significantly improves the VR user experience with dedicated hardware functions for VR HMDs, namely: Lens Distortion Correction (LDC), Chromatic Aberration Correction (CAC) and Asynchronous Timewarp (ATW). These are on top of the already feature rich Mali-D71 DPU for premium mobile devices, Mali-D77 changes the way we think about VR workload distribution across the SoC. It enables a significant step-up in the display resolutions and frame rates that can be achieved within the power constraints of mobile VR HMD you can read more about the Mali-D77 here: https://community.arm.com/developer/tools-software/graphics/b/blog/posts/introducing-the-arm-mali-d77-display-processor
The Neoverse N1 CPU is optimized for a wide range of cloud native server workloads executing at a world-class compute efficiency. This enables an infrastructure transformation where processing is pushed to the edge where data is generated, thereby providing more scalability than moving all data to centralized datacenters.
The Arm Neoverse E1 CPU delivers best-in-class throughput efficiency. It incorporates a new simultaneous multithreading (SMT) microarchitecture design. With SMT, the processor can execute two threads concurrently resulting in better aggregate throughput performance.
The Neoverse E1 delivers 2.1x more compute performance, 2.7x more throughput performance and 2.4x better throughput efficiency compared to the Cortex-A53. The design is highly scalable to support throughput demands for next generation edge to core data transport.
Todd Kjos of the Android Kernel team at Google, and Bero of the Linaro Mobile Group, talk at Linaro Connect Vancouver, they talk about running Android on the mainline kernel, trying to get closer to mainline, enabling test boards and devices to run mainline Linux. Getting some of the Android specific things that were kept out of the tree into the Linux tree.