“Intel provided a wealth of machine learning announcements following the Intel Xeon Phi processor (formerly known as Knights Landing) announcement at ISC’16. Building upon the various technologies in Intel Scalable System Framework, the machine learning community can expect up to 38% better scaling over GPU-accelerated machine learning and an up to 50x speedup when using 128 Intel Xeon Phi nodes compared to a single Intel Xeon Phi node. The company also announced an up to 30x improvement in inference performance (also known as scoring or prediction) on the Intel Xeon E5 product family due to an optimized Intel Caffe plus Intel Math Kernel Library (Intel® MKL) package.”
Thomas Sterling presented this keynote at ISC 2016 in Frankfurt. “Even as the hundred petaflops era is coming within sight, more dramatic programs to achieve exaflops capacity are now emerging with the expectation of this two orders of magnitude advance in the early part of the next decade. Yet the challenges of the end of Moore’s Law loom ever greater, threatening to impede further progress. Innovations in semiconductor technologies and processor socket architecture matched with application development environments improvements promise to overcome such barriers. This keynote presentation will deliver a rapid-fire summary of the major accomplishments of the last year that promises a renaissance in supercomputing in the immediate future.”
In this video from ISC 2016, Kirti Devi from Intel describes the new Intel Developer Platform for the Intel Xeon Phi processor. “With this program, Intel and its partner Colfax are widening early levels of access, support and training for the widely anticipated next-generation Intel Xeon Phi processor release. The Developer Access Program gives developers the opportunity to begin leveraging key new capabilities in the processor before they are generally available. That means developers will have time to work to parallelize and vectorize their code and look for opportunities to exploit the massive performance capabilities that KNL offers so workloads are ready for prime time when customers deploy their next-generation systems.”
“Tasks keep the CPUs busy. When a core is working, rather than waiting for work to be sent to it, the application progresses towards it conclusion. A caveat to all of this is to remember that tasking and threading models remain on the system it was created on. Tasks that use a shared memory space only work within the shared memory segment that the processing cores can get to. Shared memory on the CPU side of the system is separate from the shared memory on the coprocessor. The threads created will remain on the part of the system where it started.”
In this video from ISC 2016, Barry Davis from Intel describes the company’s brand new Intel Xeon Phi Processor and how it fits into the Intel Scalable System Framework. “Eliminate node bottlenecks, simplify your code modernization and build on a power-efficient architecture with the Intel Xeon Phi™ processor, a foundational element of Intel Scalable System Framework. The bootable host processor offers an integrated architecture for powerful, highly parallel performance that will pave your path to deeper insight, innovation and impact for today’s most-demanding High Performance Computing applications, including Machine Learning. Supported by a comprehensive technology roadmap and robust ecosystem, the Intel Xeon Phi processor is a future-ready solution that maximizes your return on investment by using open standards code that are flexible, portable and reusable.”
Today, Hewlett Packard Enterprise (HPE) introduced new high-performance computing solutions that aim to accelerate HPC adoption by enabling faster time-to-value and increased competitive differentiation through better parallel processing performance, reduced complexity and deployment time. These innovations include: HPE Core HPC Software Stack with HPE Insight Cluster Management Utility v8.0: Designed to meet the needs of […]
Today Cray introduced new performance breakthroughs that will provide customers with the fastest Cray XC supercomputers and Cray Sonexion storage systems to date. “Our customers are taking on increasingly complex computational problems that are expanding the boundaries of supercomputing and storage performance capabilities,” said Ryan Waite, Cray’s senior vice president of products. “We partner closely with our customers to understand their unique requirements and deliver new systems that deliver peak performance. For many of our customers, Intel Xeon Phi processors and Lustre parallel file systems are critical components of their supercomputing infrastructure. Our close collaboration with Intel helps to ensure our Intel Xeon Phi processor-based solutions scale to the most demanding performance requirements and our close partnership with Seagate helps scale Lustre to new levels of performance and stability.”
SuperMicro is showcasing its High Performance Computing solutions at ISC 2016 this week in Frankfurt, Germany. “With Supermicro HPC solutions deep learning, engineering, and scientific fields can scale out compute clusters to accelerate their most demanding workloads and achieve fastest time-to-results with maximum performance per watt, per square foot, and per dollar,” said Charles Liang, President and CEO of Supermicro. “With our latest innovations incorporating Intel Xeon Phi processors in a performance and density optimized Twin architecture, 8-socket scalable servers, 100Gbps OPA switch for high bandwidth connectivity, and high-performance NVMe for Lustre based storage, our customers can accelerate their applications and innovations to address the most complex real world problems.”
Today Cray announced that the company has been awarded new contracts for its Cray XC40 supercomputer, two Cray CS400 cluster supercomputers, a Cray Urika-GX agile analytics platform, and its DataWarp applications I/O accelerator to customers in Japan, the United Kingdom, and the United States.
Today Univa announced the release of Univa Grid Engine Version 8.4.0 with preview support for the Intel Xeon Phi processor (formerly code-named “Knights Landing”), enabling enterprises to launch and control jobs on Intel Xeon Phi processor-based systems. The update simplifies running and managing applications on Intel Xeon Phi processor-based clusters.