Arm Blog

In this blog post, we address heterogeneity in IoT edge deployments using Kubernetes.

The hybrid runtime allows the deployment of software onto embedded processors within a single SoC using cloud-native orchestration tools, such as k3s.

This blog post describes how to implement the same matrix-matrix multiplication algorithm using three different Arm technologies: Neon, SVE, and SME.

Learn how Arm and our Partners enable developers and the IoT software ecosystem to deliver smart, energy efficient ML edge devices.

Today we introduce “Arm Accuracy Super Resolution” (Arm ASR), which is a best-in-class open-source solution for upscaling on mobile devices.

For research purposes, Arm has developed a demo using Unreal Engine and Android Dynamic Performance Framework (ADPF) to investigate how ADPF is used to optimize game performance.

Arm Ambassadors bring the benefits of Window on Arm to developers in North Africa.

Researchers at Télécom Paris are working to identify security weaknesses, anticipate future attacks, and develop mitigations.

This blog post presents a case study using SIMD Everywhere (SIMDe) to automatically port software using x86 SSE and AVX SIMD intrinsics to Arm Neon.

This blog is the second half of a two-part blog for SME Instructions. See link to Part 1 in the note at the top of this blog post.

A team at IIT Bombay is tackling the challenge of designing and implementing spiking neural networks to operate in small, low-power applications.

Barcelona Supercomputing Center (BSC) are working to standardize a common framework for accelerators with coherent connection to the memory hierarchy.

Arm enthusiasts gathered in Texas A&M for a hands-on GPIO workshop using STM Nucleo-F410R3 boards from the Arm Developer Program, fostering knowledge sharing and community bonding.

Innovation in accelerators, wearables and drone navigation.

Enabling the next generation of smart devices.

Characterizing industrial NPUs for susceptibility to soft errors due to bit flips

Scandump is highly effective in silicon debugging as it can capture most internal states through scan chains, making it invaluable in diagnosing silicon issues.

AMBA Viz enables faster debug and performance analysis for cycle-accurate simulation and emulation, even for complex interconnects and AMBA bus protocols.