New ARM Architecture Offers A DynamIQ Response To Compute
ARM has rearchitected its multi-core chips to they can better compete in a world where computing needs are becoming more specialized. …
ARM has rearchitected its multi-core chips to they can better compete in a world where computing needs are becoming more specialized. …
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. …
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. …
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.) …
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. …
What supercomputers will look like in the future, post-Moore’s Law, is still a bit hazy. …
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