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.

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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.

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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.

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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.

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NVIDIA acquires PGI

NVIDIANVIDIA has made further inroads into high performance computing (HPC) with the acquisition of The Portland Group (PGI), a leading independent supplier of compilers and tools.

Founded in 1989, PGI has a long history of innovation in HPC compiler technology for Intel, IBM, Linux, OpenMP, GPGPU, and ARM. Following the acquisition, it will continue to operate under the PGI name and develop OpenACC, CUDA Fortran and CUDA x86 for multicore x86, and GPGPUs. PGI will also continue to serve its customers, including chip makers, research labs and HPC computing centres.