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Intel oneDNN 3.3 Brings More Performance Optimizations For Sapphire Rapids / AMX

In addition to x86-simd-sort 3.0 being released for speedy AVX-512 sorting, Friday also brought the release of oneDNN 3.3 as the deep neural network library that is part of oneAPI and focused on helping developers build out deep learning applications.

Ponte-vecchio , Xeon-max-cpus , Intel , Intel-data-center , Arm-compute-library , Show-your-support , Advanced-matrix-extensions , Xeon-scalable , Granite-rapids , Sierra-forest , Architecture-processors , Intel-xeon-scalable

Arm unveils next-generation GPU architecture, propelling visual experiences of mobile computing to new heights

Arm unveils next-generation GPU architecture, propelling visual experiences of mobile computing to new heights
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Taiwan , Mali , Chris-bergey , Andy-craigen , Stefan-rosinger , Game-developers-conference , Arm-compute-library , Arm-total-compute-solutions-is , Google , Ray-tracing-technology-to-mobile-devices , Technology-is-crucial-to-drive-digital , Compute-solutions

New Electronics - Arm announces Total Compute Solutions 2023

Arm has announced Total Compute Solutions 2023 (TCS23), which it claims will be the platform for mobile computing going forward.

Arm-compute-library , Google , Arm-immortalis , Vertex-shading , Arm-cortex-x , Arm-memory-tagging-extension ,

New Arm Total Compute Solutions enable a mobile future built on Arm

New 5th Generation GPU architecture provides a foundation for the next several generations of visual computing on Arm GPUs, including new Arm Immortalis-G720Th…

Henry-duan , Bryan-chang , Yujian-shi , Mediatek-dimensity , Congbing-li , Dave-burke , Nick-rapp , Stuart-pann , Immortalis-gpus , Seogjun-lee , Dan-kochpatcharin , Samul-deng

New Arm Total Compute Solutions enable a mobile future built on Arm

Today we are announcing Arm Total Compute Solutions 2023 (TCS23), which will be the platform for mobile computing, offering our best ever premium solution for smartphones. TCS23 delivers a complete package of the latest IP designed and optimized for specific workloads to work seamlessly together as a complete system.

Seogjun-lee , Yujian-shi , Nick-rapp , Dan-kochpatcharin , Immortalis-gpus , Ip-henry-duan , Mediatek-dimensity , Chris-bergey , Stuart-pann , Samul-deng , Dave-burke , Congbing-li

Introducing Arm Total Compute Solutions 2023: Cortex-X4, A720 and A520, Immortalis-G715 GPU

Mobile devices play a crucial role in every aspect of our digital lives. With just a handheld device, we have the power to create and consume immersive experiences that are enhanced by artificial inte...

Seogjun-lee , Dan-kochpatcharin , Yujian-shi , Stuart-pann , Mediatek-dimensity , Dave-burke , Congbing-li , Nick-rapp , Ip-henry-duan , Immortalis-gpus , Samul-deng , Xuezhong-zeng

Arm Total compute Solutions 2023 brings enhancements across the board

Mobile devices are essential to our daily lives. They allow us to create and consume immersive, AI-powered experiences that are constantly pushing the limits of what is possible. Arm is at the heart of many of all of our mobile computers - smartphones, tablets, handheld consoles, and even many more.

Mali , Google , Arm-compute-library , Arm-total-compute-solutions , Arm-immortalis-g ,

PyTorch 1.13 release, including beta versions of functorch and improved support for Apple's new M1 chips.

We are excited to announce the release of PyTorch® 1.13 (release note)! This includes Stable versions of BetterTransformer. We deprecated CUDA 10.2 and 11.3 and completed migration of CUDA 11.6 and 11.7. Beta includes improved support for Apple M1 chips and functorch, a library that offers composable vmap (vectorization) and autodiff transforms, being included in-tree with the PyTorch release. This release is composed of over 3,749 commits and 467 contributors since 1.12.1. We want to sincerely thank our dedicated community for your contributions.



Pytorch-apis , Pytorch-torchtext , Mlperf-bert , Pytorch-bettertransformer , Autocast-apis , Google , Nvidia , Prototype-limited-python , Arm-compute-library , Technology-apis , Intel , Team-pytorch