First In-Depth Look at Google’s TPU Architecture
Four years ago, Google started to see the real potential for deploying neural networks to support a large number of new services. …
Four years ago, Google started to see the real potential for deploying neural networks to support a large number of new services. …
The IT industry has gotten good at developing computer systems that can easily work at the nanosecond and millisecond scales. …
ARM has rearchitected its multi-core chips to they can better compete in a world where computing needs are becoming more specialized. …
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. …
It is a good time to be the maker of a machine that excels in large-scale optimization problems for cybersecurity and defense. …
Processor makers are pushing down the precision for a range of new and forthcoming devices, driven by a need that balances accuracy with energy-efficient performance for an emerging set of workloads. …
Exascale computing, which has been long talked about, is now – if everything remains on track – only a few years away. …
The idea of bringing compute and memory functions in computers closer together physically within the systems to accelerate the processing of data is not a new one. …
Many oil and gas exploration shops have invested many years and many more millions of dollars into homegrown codes, which is critical internally (competitiveness, specialization, etc.) …
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