April 18, 2017 Jeffrey Burt
The fields where machine learning and neural networks can have positive impacts seem almost limitless. From healthcare and genomics to pharmaceutical development, oil and gas exploration, retail, smart cities and autonomous vehicles, the ability to rapidly and automatically find patterns in massive amounts of data promises to help solve increasingly complex problems and speed up discoveries that will improve lives, create a heathier world and make businesses more efficient.
Climate science is one of those fields that will see significant benefits from machine learning, and scientists in the field are pushing hard to see how the technology can help them …Read more
April 14, 2017 Jeffrey Burt
When Red Hat began building out its OpenShift cloud application platform more than five years ago, the open source software vendor found itself in a similar situation as others in the growing platform-as-a-service (PaaS) space: they were all using technologies developed in-house because there were no real standards in the industry that could be used to guide them.
That changed about three years ago, when Google officials decided to open source the technology – called Borg – they were using internally to manage the search giant’s clusters and make it available to the wider community. Thus was born Kubernetes, …Read more
April 13, 2017 Jeffrey Burt
Intel might have its own thoughts about the trajectory of Moore’s Law, but many leaders in the industry have views that variate slightly from the tick-tock we keep hearing about.
Sophie Wilson, designer of the original Acorn Micro-Computer in the 1970s and later developer of the instruction set for ARM’s low-power processors that have come to dominate the mobile device world has such thoughts. And when Wilson talks about processors and the processor industry, people listen.Read more
March 22, 2017 Jeffrey Burt
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.
Intel, AMD, IBM, and others continue to drive the development of smaller electronic components as a way of ensuring advancements in compute performance while driving down the cost of that compute. Processors from Intel and others are moving now from 14 nanometer processes down to 10 nanometers, with plans to continue onto 7 nanometers and smaller.
For more than a decade, Intel had relied on a tick-tock manufacturing schedule to keep up with …Read more
March 20, 2017 Jeffrey Burt
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.
Users of the petascale system have been able to simulate the evolution of space, determine the chemical structure of diseases, model weather, and trace how virus infections propagate via air …Read more
March 15, 2017 Jeffrey Burt
The Smith-Waterman algorithm has become a linchpin in the rapidly expanding world of bioinformatics, the go-to computational model for DNA sequencing and local sequence alignments. With the growth in recent years in genome research, there has been a sharp increase in the amount of data around genes and proteins that needs to be collected and analyzed, and the 36-year-old Smith-Waterman algorithm is a primary way of sequencing the data.
The key to the algorithm is that rather than examining an entire DNA or protein sequence, Smith-Waterman uses a technique called dynamic programming in which the algorithm looks at segments of …Read more
March 14, 2017 Jeffrey Burt
Nvidia has staked its growth in the datacenter on machine learning. Over the past few years, the company has rolled out features in its GPUs aimed neural networks and related processing, notably with the “Pascal” generation GPUs with features explicitly designed for the space, such as 16-bit half precision math.
The company is preparing its upcoming “Volta” GPU architecture, which promises to offer significant gains in capabilities. More details on the Volta chip are expected at Nvidia’s annual conference in May. CEO Jen-Hsun Huang late last year spoke to The Next Platform about what he called the upcoming “hyper-Moore’s Law” …Read more
March 10, 2017 Jeffrey Burt
Google has always been a company that thinks big. After all, its mission since Day One was to organize and make accessible all of the world’s information.
The company is going to have to take that same expansive and aggressive approach as it looks to grow in a highly competitive public cloud market that includes a dominant player (Amazon Web Services) and a host of other vendors, including Microsoft, IBM, and Oracle. That’s going to mean expanding its customer base beyond smaller businesses and startups and convincing larger enterprises to store their data and run their workloads on its ever-growing …Read more
March 9, 2017 Jeffrey Burt
The lineup of ARM server chip makers has been a somewhat fluid one over the years.
There have been some that have come and gone (pioneer Calxeda was among the first to the party but folded in 2013 after running out of money), some that apparently have looked at the battlefield and chose not to fight (Samsung and Broadcom, after its $37 billion merger with Avago), and others that have made the move into the space only to pull back a bit (AMD a year ago released its ARM-based Opteron A1100 systems-on-a-chip, or SOCs but has since shifted most of …Read more
March 9, 2017 Jeffrey Burt
Google’s Cloud Platform is the relative newcomer on the public cloud block, and has a way to go before before it is in the same competitive sphere as Amazon Web Services and Microsoft Azure, both of which deliver a broader and deeper range of offerings and larger infrastructures.
Over the past year, Google has promised to rapidly grow the platform’s capabilities and datacenters and has hired a number of executives in hopes of enticing enterprises to bring more of their corporate workloads and data to the cloud.
One area Google is hoping to leverage is the decade-plus of work and …Read more