Tag: ARM

NVIDIA closes in on Arm

It seems like SoftBank is on the brink of selling Arm to NVIDIA. The deal is reported to be worth more than US$40 billion, representing more than 25 percent gain for SoftBank, which bought Arm for US$32 billion in 2016.

Fugaku supercomputer tops world’s fastest list

The Fugaku supercomputer jointly developed by RIKEN and Fujitsu has been crowed the world’s fastest supercomputer in the Top500 list. This follows its achievement as the world’s most efficient supercomputer on the Green500 list in November 2019.

SiPearl aims to be the third party

For the longest time, the CPU market has been predominantly about two players — AMD and Intel. While there are others, they are way behind the Big Two. But French company SiPearl seems to be making a play to be the third party with the signing of a major licensing agreement with Arm.

Arm joins O-RAN Alliance

Having powered generations of cellular devices, Arm has joined the O-RAN Alliance, a leading industry forum with a vision of openness and innovation fostered by a broad community of experts. And Arm aims to help drive this vision to become a reality.

Arm launches AI chip for IoT devices

Source: ArmArm has launched the Cortex-M55, an artificial intelligence (AI) processor based on the Armv8.1-M architecture with Arm Helium vector processing technology for significantly enhanced, energy-efficient digital signal processing and machine learning (ML).

NVIDIA hold hands with Arm and tech leaders on GPU-accelerated servers

NVIDIA’s new reference design platform enables companies to build GPU-accelerated Arm servers for running a broad range of applications, from hyperscale-cloud to exascale supercomputing and beyond.NVIDIA has teamed up with Arm and a host of tech leaders to introduce a reference design platform for enterprises to quickly build GPU-accelerated Arm-based servers.

IoT goes deep

Arm is taking its recently-announced Project Trillium a step further with a collaboration with NVIDIA. The partners will bring the open-source NVIDIA Deep Learning Accelerator (NVDLA) architecture into Project Trillium platform for machine learning.

OpenSynergy’s virtualisation platform now supports ARMv8-A architecture

OpenSynergy’s COQOS SDK v9.0 virtualisation platform now supports ARMv8-A architectures.

The 64-bit bus width of the ARMv8-A processors makes it possible to meet the high performance requirements of the next generation automotive ECU’s such as cockpit controllers or driver assistance systems.

“With COQOS SDK v9.0, we enable our customers to take full advantage of the newest automotive system-on-chips (SoCs),” said Stefaan Sonck Thiebaut, CEO of OpenSynergy.

PC revival! Chromebooks and ultraportable PCs to lead charge

abi researchThe personal computer (PC) is still alive and breathing. According to ABI Research, 163 million notebook PCs shipped globally in 2015.

The majority were laptops, which constituted nearly 80 percent of the category. The data suggests that despite a floating myth speculating that it will only be a matter of time before PCs meet their demise, the market is still going strong and shows no sign of slowing down in the immediate future.

“Industry experts greatly exaggerated the death of the PC. The platform is continuing to evolve its designs to provide flexibility for productivity purposes, while also adapting its shape to support tablet-like, touch applications. Chromebooks and ultraportable PCs will continue to drive the most growth within the notebook PC market,” said Jeff Orr, Research Director of ABI Research.

NVIDIA GPU accelerators powering ARM64 HPC systems

E4 EK003
The E4 EK003 dual-motherboard server appliance features two Tesla K20 GPU accelerators

Server vendors are leveraging the performance of NVIDIA graphics processor unit (GPU) accelerators for 64-bit ARM development systems for high performance computing (HPC).

ARM64 server processors were primarily designed for micro-servers and web servers because of their extreme energy efficiency. Coupled with GPU accelerators using the NVIDIA CUDA 6.5 parallel programming platform, they can now tackle HPC-class workloads.

GPUs provide ARM64 server vendors with the muscle to tackle HPC workloads, enabling them to build high-performance systems that maximise the ARM architecture’s power efficiency and system configurability.