IBM and its partners have developed a novel technology to build 5nm chips, based on silicon nanosheet transistors. Compared to 10nm chips using FinFET transistors, the new technology promises to deliver a 40 percent performance increase, a 75 percent power savings, or some combination of the two.
Fujitsu Laboratories has developed a circuit technology that is said to improve the energy efficiency of deep learning workloads. According to the company, it plans to commercialize the technology in 2018 as part of its Human Centric AI Zinrai initiative.
Although Google’s Tensor Processing Unit (TPU) has been powering the company’s vast empire of deep learning products since 2015, very little was known about the custom-built processor. This week the web giant published a description of the chip and explained why it’s an order of magnitude faster and more energy-efficient than the CPUs and GPUs it replaces.
Ministers from seven European countries have signed on to a plan to develop an exascale capability based on technology developed within the EU member states. The goal is to bring up two pre-exascale supercomputers by 2020 and two full exascale systems no later than 2023.
The long-predicted demise of Moore’s Law appears to be playing out. Over the last couple of years, Intel and other chipmakers have struggled to keep their semiconductor technology plans on schedule, paving the way for fundamental changes in the computer industry.
The National Aeronautics and Space Administration (NASA) has built a new modular supercomputing facility at its Ames Research Center in Silicon Valley that could be the template for future HPC infrastructure at the agency.
The Tokyo Institute of Technology, also known as Tokyo Tech, has revealed that the TSUBAME 3.0 supercomputer scheduled to be installed this summer will provide 47 half precision (16-bit) petaflops of performance, making it one of the most powerful machines on the planet for artificial intelligence computation. The system is being built by HPE/SGI and will feature NVIDIA’s Tesla P100 GPUs.
D-Wave Systems has released 2000Q, its latest quantum computer intended to expand the scope of problems that can be run on qubit-based machinery. In conjunction with the general availability of the 2000Q, D-Wave also announced the first customer: Temporal Defense Systems Inc., a cyber security firm.
Cray is going to build what will looks to be the world’s first ARM-based supercomputer. The system, known as “Isambard,” will be the basis of a new UK-based HPC service that will offer the machine as a platform to support scientific research and to evaluate ARM technologies for high performance computing. Installation of Isambard is scheduled to begin in March and be up and running before the end of the year.
The Mont-Blanc Project has selected Cavium’s ThunderX2 ARM processor to power its next prototype for exascale computing. The system will be constructed by Bull (Atos), leveraging the supercomputer maker’s “exascale-ready” sequana architecture, as well as the high-performance features of the ThunderX2 SoC product.