Today DDN announced that it was once again ranked as the top storage provider among HPC sites surveyed by Intersect360 Research. “High-performance sites are incredibly challenging IT environments with massive data requirements across very diverse application and user types,” said Laura Shepard, senior director of product marketing, DDN. “Because we are a leader in this space, we have the expertise to provide the optimal solutions for traditional and commercial high-performance customers to ensure they are maximizing their compute investment with the right storage infrastructure.”
IDC is out with their latest Worldwide High-Performance Technical Server QView report. The QView presents the HPC market from various perspectives, including by competitive segment, vendor, cluster versus non-cluster, geography, and operating system. It also contains detailed revenue and shipment information by HPC models. “The workgroup segment, and especially the departmental segment, substantially ramped up purchases of HPC servers in the period 2012-2015, in tune with the global economic recovery.”
The New 2016 Compendium of Engineering Cloud Case Studies is an invaluable resource for engineers, scientists, managers and executives who believe in the strategic importance of Technical Computing as a Service, in the Cloud, for their organization. It is a collection of 18 selected real-life case studies written by the participants of the UberCloud HPC Experiment. Among these case studies you will find scenarios that resonate with your own situation. You will benefit from the candid descriptions of problems encountered, problems solved, and lessons learned.
A survey conducted by insideHPC and Gabriel Consulting in Q4 of 2105 indicated that nearly 45% of HPC and large enterprise customers would spend more on system interconnects and I/O in 2016, with 40% maintaining spending at the same level as the prior year. For manufacturing, the largest subset representing approximately one third of the respondents, over 60% were planning to spend more and almost 30% maintaining the same level of spending going into 2016 implying the critical value of high performance interconnects.
In life sciences, perhaps more than any other HPC discipline, simplicity is key. The SGI solution meets this requirement by delivering a single system that scales to huge capabilities by unifying compute, memory, and storage. Researchers and scientists in personalized medicine (and most life sciences) are typically not computer science experts and want a simple development and usage model that enables them to focus on their research and projects.
If the keys to health, longevity, and a better overall quality of life are encoded in our individual genetic make-up then few advances in the history of medicine can match the significance and potential impact of the Human Genome Project. Instigated in 1985 and since that time, the race has been centered on dramatically improving the breadth and depth of genomic understanding as well as reducing the costs involved in sequencing, storing, and processing an individual’s genomic information.
“The results of DDN’s annual HPC Trends Survey reflect very accurately what HPC end users tell us and what we are seeing in their data center infrastructures. The use of private and hybrid clouds continues to grow although most HPC organizations are not storing as large a percentage of their data in public clouds as they anticipated even a year ago. Performance remains the top challenge, especially when handling mixed I/O workloads and resolving I/O bottlenecks.”
Scot Schultz from Mellanox writes that the company is moving the industry forward to a world-class off-load network architecture that will pave the way to Exascale. “Mellanox, alongside many industry thought-leaders, is a leader in advancing the Co-Design approach. The key value and core goal is to strive for more CPU offload capabilities and acceleration techniques while maintaining forward and backward compatibility of new and existing infrastructures; and the result is nothing less than the world’s most advanced interconnect, which continues to yield the most powerful and efficient supercomputers ever deployed.”
In this research report, we reveal recent research showing that customers are feeling the need for speed—i.e. they’re looking for more processing cores. Not surprisingly, we found that they’re investing more money in accelerators like GPUs and moreover are seeing solid positive results from using GPUs. In the balance of this report, we take a look at these finding and and the newest GPU tech from NVIDIA and how it performs vs. traditional servers and earlier GPU products.
Today, to ready the United States for a future in which Artificial Intelligence (AI) plays a growing role, the White House is releasing a report on future directions and considerations for AI called Preparing for the Future of Artificial Intelligence. This report surveys the current state of AI, its existing and potential applications, and the questions that progress in AI raise for society and public policy.”