Arm Blog

Most conventional FPGA-based accelerators use off-chip memory for data transformation, then perform computation for a single-layer in a time-multiplexed manner. Throughput is often limited by the memory…

In this short blog post from Brian Fuller, read about the software and hardware sessions happening at Arm DevSummit 2021.

How to convert models to run Ethos-U55 and Ethos-U65 for models trained in PyTorch.

This blog discusses the growth of smartwatches and how Arm is delivering processor power and efficiency capabilities for these devices.

Read part one in this thinking parallel series about branchless conditionals by guest blogger Laurence Bank.

This blog sets out the work that Arm is doing to support the development of ray tracing content for mobile games, including partnerships with MediaTek and Tencent Games.

In this blog, we showed detailed performance benchmarking of self-managed Apache Kafka running on 64-bit Arm Neoverse based AWS Graviton2 processors.

In this blog we compare the performance of NVMe over Fabrics between Arm Neoverse N1-based servers and Intel Xeon-based servers.

Cloud native approaches are critical to enabling the software defined car, read more in this blog post.

In this blog, read about some of the key additions to the A-Profile architecture in 2021.

The Arm Community is back online following an upgrade. Learn more here.

In this blog we review optimizations Tencent has made to their KonaJDK to support the Arm architecture.

The Arm Intrinsics search engine is a look up table search for SIMD and MVE intrinsics that you can use to improve the speed and performance of your application.

Arm’s annual DevSummit is approaching, read about what is happening from October.

In this blog, we compare the performance and price-performance of running Cassandra on AWS Graviton2 compared to x86-based instances.

Porting your Windows Presentation Foundation app to run on Arm with Universal Windows Platform.

Zinstall fullback is now fully native to Windows on Arm. Check out the features that make it a great experience for the end user.

The astcenc 3.1 compressor release brings faster performance, and higher image quality, to the ASTC compression format.

Please read this post to learn more about next steps in our moderation process after a spam attack that happened.

Demand for compute is increasing, yet carbon emissions must be reduced. Machine learning can make workflows more efficient, reducing their carbon footprint.

In part-two we continue to explore the simulation, characterization, and analysis of MRAM stochasticity, sharing a compact model and framework.

In this blog, read through how to use multi platform support to help with coding in Python.

In part-two of the scalable MTJ simulation, we share a compact model and framework for the efficient and scalable simulation of circuits with MRAMs.

PlasticArm is bringing the possibility of seamlessly embedding billions of extremely low-cost, ultra-thin, conformable microprocessors into everyday objects – a significant leap forward in realising the…

In this blog we compare the performance of Redis on Arm-based AWS Graviton2 processors to Intel Xeon processors.