Taking the Heavy Lifting Out of TensorFlow at Extreme Scale
There is no real middle ground when it comes to TensorFlow use cases. …
There is no real middle ground when it comes to TensorFlow use cases. …
Scaling the performance of machine learning frameworks so they can train larger neural networks – or so the same training a lot faster – has meant that the hyperscalers of the world who are essentially creating this technology have had to rely on increasingly beefy compute nodes, these days almost universally augmented with GPUs. …
There is increasing interplay between the worlds of machine learning and high performance computing (HPC). …
Just two years ago, supercomputing was thrust into a larger spotlight because of the surge of interest in deep learning. …
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 can’t beat the largest cloud players at economies of scale, the only option is to try to outrun them in performance, capabilities, or price. …
While a lot of the applications in the world run on clusters of systems with a relatively modest amount of compute and memory compared to NUMA shared memory systems, big iron persists and large enterprises want to buy it. …
After years of planning and delays after a massive architectural change, the Blue Waters supercomputer at the National Center for Supercomputing Applications at the University of Illinois finally went into production in 2013, giving scientists, engineers and researchers across the country a powerful tool to run and solve the most complex and challenging applications in a broad range of scientific areas, from astrophysics and neuroscience to biophysics and molecular research. …
Parallel computing has become a bedrock in the HPC field, where applications are becoming increasingly complex and such compute-intensive technologies as data analytics, deep learning and artificial intelligence (AI) are rapidly emerging. …
Nvidia has staked its growth in the datacenter on machine learning. …
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