Co-founder and co-editor Nicole Hemsoth brings insight from the world of high performance computing hardware and software as well as data-intensive systems and frameworks. Hemsoth is former Editor in Chief of long-standing supercomputing magazine, HPCwire. She was founding editor and conceptual creator of the data-intensive computing magazine Datanami, as well as the conceptual creator and founding Senior Editor for the large-scale infrastructure focused EnterpriseTech.
March 23, 2017 Jeffrey Burt
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.
Depending on who you’re talking to, there could be anywhere from 10 billion to 25 billion connected devices worldwide, self-driving cars are expected to rapidly grow in use in the next decade and corporate data is no longer housed primarily in stationary …Read more
March 23, 2017 Rob Farber
OpenACC’s global attraction can be seen in the recent February 2017 OpenACC mini-hackathon and GPU conference at KAUST (King Abdullah University of Science & Technology) in Saudi Arabia. OpenACC was created so programmers can insert pragmas to provide information to the compiler about parallelization opportunities and data movement operations to and from accelerators. Programmers use pragmas to work in concert with the compiler to create, tune and optimize parallel codes to achieve high performance.
Demand was so high to attend this mini-hackathon that the organizers had to scramble to find space for ten teams, even though the hackathon was originally …Read more
March 22, 2017 Nicole Hemsoth
The 13th Five Year Plan and other programs to bolster cloud adoption among Chinese businesses like the Internet Plus effort have lit a fire under China’s tech and industrial sectors to modernize IT operations.
However, the growth of China’s cloud and overall enterprise IT market is far slower than in other nations. while there is a robust hardware business in the country, the traditional view of enterprise-class software is still sinking in, leaving a gap between hardware and software spending. Further, the areas that truly drive tech spending, including CPUs and enterprise software and services, are the key areas …Read more
March 21, 2017 Linda Barney
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.
Data analytics often rely on machine learning (ML) algorithms. Among ML algorithms, deep convolutional neural networks (DNNs) offer state-of-the-art accuracies for important image classification tasks and are becoming widely adopted.
At the recent International Symposium on Field Programmable Gate Arrays (ISFPGA), Dr. Eriko Nurvitadhi from Intel Accelerator Architecture Lab (AAL), presented research on Can FPGAs beat GPUs in Accelerating Next-Generation Deep Neural Networks. Their research …Read more
March 20, 2017 Nicole Hemsoth
Despite the fact that Google has developed its own custom machine learning chips, the company is well-known as a user of GPUs internally, particularly for its deep learning efforts, in addition to offering GPUs in its cloud.
At last year’s Nvidia GPU Technology Conference, Jeff Dean, Senior Google Fellow offered a vivid description of how the search giant has deployed GPUs for a large number of workloads, many centered around speech recognition and language-oriented research projects as well as various computer vision efforts. What was clear from Dean’s talk—and from watching other deep learning shops with large GPU cluster …Read more
March 20, 2017 Ben Cotton
Solving problems by the addition of abstractions is a tried and true approach in technology. The management of high-performance computing workflows is no exception.
The Pegasus workflow engine and HTCondor’s DAGman are used to manage workflow dependencies. GridWay and DRIVE route jobs to different resources based on suitability or available capacity. Both of these approaches are important, but they share a key potential drawback: jobs are still treated as distinct units of computation to be scheduled individually by the scheduler.Read more
March 17, 2017 Jeffrey Burt
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. Nvidia and AMD have driven the adoption of GPU accelerators in supercomputers and other high-end systems, Intel is addressing the space with its many-core Xeon Phi processors and coprocessors and, as we’ve talked about at The Next Platform, other acceleration technologies like field-programmable gate arrays (FPGAs) are pushing their way into the picture. Parallel computing is a booming field.
However, the future was not always so assured. …Read more
March 17, 2017 Ben Cotton
The “serverless” trend has become the new hot topic in cloud computing. Instead of running Infrastructure-as-a-Service (IaaS) instances to provide a service, individual functions are executed on demand.
This has been a boon to the web development world, as it allows the creation of UI-driven workloads without the administrative overhead of provisioning, configuring, monitoring, and maintaining servers. Of course, the industry has not yet reached the point where computation can be done in thin air, so there are still servers involved somewhere. The point is that the customer is not concerned with mundane tasks such as operating system patching and …Read more
March 16, 2017 Ben Cotton
If Xzibit worked in the HPC field, he might be heard to say “I heard you like computers, so we modeled a computer with your computer so you can simulate your simulations.”
But simulating the performance of HPC applications is more than just recursion for comedic effect, it provides a key mechanism for the study and prediction of application behavior under different scenarios. While actually running the code on the system will yield a measure of the wallclock time, it does little to provide an explanation of what factors impacted that wallclock time. And of course it requires the system …Read more
March 13, 2017 Nicole Hemsoth
It is a good time to be the maker of a machine that excels in large-scale optimization problems for cybersecurity and defense. And it is even better to be the only maker of such a machine at a time when the need for a post-Moore’s Law system is in high demand.
We have already described the U.S. Department of Energy’s drive to place a novel architecture at the heart of one of the future exascale supercomputers, and we have also explored the range of options that might fall under that novel processing umbrella. From neuromorphic chips, deep learning PIM-based architectures, …Read more