Blogs

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.

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.

Arm contributed improved support for Arm targets to LLVM 17 release: code generation to make use of new architecture extensions, improved performance and security of the resulting code.

Arm Development Studio 2023.1 is now available with support for Cortex-A520, Cortex-A720, and Cortex-X4.

In this blog we review recent announcements made about Arm in HPC and look forward to the Supercomputing 2023 tradeshow Arm is attending. Please come visit us in booth #1969.

This blog introduces how to profile firmware with Performance Monitor Unit (PMU) in Armv8-A CPU. It provides a reference implementation of the PMU library.

In this blog, we review the performance optimization contributions made to the VP9 codec by Arm and Vectorcamp and show how these optimizations allow Arm to deliver market leading VP9 performance.

Views from the Arm technical leadership team that it believes that today, the cost implications of tightening C++ relaxed atomics outweigh its benefit.

It’s been another busy summer in our profiling tools team, culminating in the release of Arm Mobile Studio 2023.4 at the start of October.

In May, we announced Arm Total Compute Solutions 2023 (TCS23). Now, five months on, we are announcing another vital component of TCS23: the integrated Platform Software stack and Ecosystem FVP.

In part 1, we look at how .NET uses environment variables, some detailed IR dumps and SuperPMI.

This is the second and final part of the blog series on Dev Testing in .NET. In this part we look at further uses of SuperPMI and fuzzing with Fuzzlyn.

How developers can optimize their AI models for Arm Ethos-U NPUs using the NVIDIA TAO Toolkit.

Arm has worked with Meta to introduce support for Arm platforms in ExecuTorch.

Current state of quantization on mobile (Android) is presented. Post-Training Quantization and Quantization Aware Training (QAT) in TFLite are discussed.