Google created quite a stir when it released architectural details and performance metrics for its homegrown Tensor Processing Unit (TPU) accelerator for machine learning algorithms last week. …
If you want an object lesson in the interplay between Moore’s Law, Dennard scaling, and the desire to make money from selling chips, you need look no further than the past several years of Intel’s Xeon E3 server chip product lines. …
It is one thing to scale a neural network on a single GPU or even a single system with four or eight GPUs. …
The future of Moore’s Law has become a topic of hot debate in recent years, as the challenge of continually shrinking transistors and other components has grown. …
The hyperscalers of the world are increasingly dependent on machine learning algorithms for providing a significant part of the user experience and operations of their massive applications, so it is not much of a surprise that they are also pushing the envelope on machine learning frameworks and systems that are used to deploy those frameworks. …
Nvidia has staked its growth in the datacenter on machine learning. …
Ever so slowly, and not so fast as to give competitor Intel too much information about what it is up to, but just fast enough to build interest in the years of engineering smarts that has gone into its forthcoming “Naples” X86 server processor, AMD is lifting the veil on the product that will bring it back into the datacenter and that will bring direct competition to the Xeon platform that dominates modern computing infrastructure. …
Moore’s Law has been the driving force behind computer evolution for more than five decades, fueling the relentless innovation that led to more transistors being added to increasingly smaller processors that rapidly increased the performance of computing while at the same time driving down the cost. …
The Global Scientific Information and Computing Center at the Tokyo Institute of Technology has been at the forefront of accelerated computing, and well before GPUs came along and made acceleration not only cool but affordable and normal. …
Much of the talk around artificial intelligence these days focuses on software efforts – various algorithms and neural networks – and such hardware devices as custom ASICs for those neural networks and chips like GPUs and FPGAs that can help the development of reprogrammable systems. …
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