Blogs

Read the details of the Arm Keil MDK v5.39 release.

What happened last week on Arm?

What happened last week on Arm?

Large Language Models (LLMs), a form of generative AI inference, can now run on the majority of mobile devices built on the Arm CPU. This blog explains how and why.

What happened last week on Arm?

Peter Ing, Arm Developer Program Ambassador, provides a technical run-down of the Arm demos on display at AI Expo Africa and what they mean for developers.

How Arm's training Technical Training has evolved in 2023, post pandemic and the plans for 2024.

How to capture Perfetto trace and how to use it to analyze graphic issues.

What happened last week on Arm?

CMSIS is a set of APIs, software components, and tools supporting more than 10,000 devices. Today, we are announcing the arrival of CMSIS v6.

What happened last week on Arm?

This blog post looks at what KSA frameworks and learning pathways are emerging in Africa and South America.

Learn about Frame Advisor, a new frame-based performance analysis tool to help you optimize rendering workloads for Arm Immortalis and Mali GPUs.

We refer to the SPE performance methodology whitepaper published by Arm for details on the content of this blog.

What happened last week on Arm?

We discuss some of the challenges that we face when we are trying to implement the WebAssembly SIMD bitmask operations on the 64-bit Arm architecture.

The realm of technology is ever-evolving, and at the forefront of this dynamic landscape is Arm – a powerhouse in semiconductor design. Arm has consistently pushed the boundaries of innovation, and The…

Winners of The Inventors Challenge 2023. Eight teams emerged as the winners of the challenge and won Rs 50,000 each. Here's the list of Institutes who won the Inventors Challenge: PES University …

Calling all developers who want to maximize their neural network performance! We present the Arm MLIA, the work leading up to it and why it matters.

Today, Arm announces the Cortex-M52, delivering dramatic increases in DSP and ML performance.

Recent GCC and LLVM-based compilers have learned to use the LDAPR instructions, taking advantage of the Arm memory model to increase the performance of some multi-threaded and multi-core workloads.