Squeezing The Joules Out Of DRAM, Possibly Without Stacking
Increasing parallelism is the only way to get more work out of a system. …
Increasing parallelism is the only way to get more work out of a system. …
The rise of public and private clouds, the growth of the Internet of Things, the proliferation of mobile devices and the massive amounts of data that need to be collected, stored, moved and analyzed that are being generated by such fast-growing emerging trends promise to drive significant changes in both software and hardware development in the coming years. …
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. …
Continued exponential growth of digital data of images, videos, and speech from sources such as social media and the internet-of-things is driving the need for analytics to make that data understandable and actionable. …
ARM has rearchitected its multi-core chips to they can better compete in a world where computing needs are becoming more specialized. …
In the datacenter, flash memory took off first as a caching layer between processors and their cache memories and main memory and the ridiculously slow disk drives that hang off the PCI-Express bus on the systems. …
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. …
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. …
With over 700 employees, Cineca is Italy’s largest and most advanced high performance computing (HPC) center, channeling their systems expertise to benefit organizations across the nation. …
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