“Intel recently announced the first product release of its High Performance Python distribution powered by Anaconda. The product provides a prebuilt easy-to-install Intel Architecture (IA) optimized Python for numerical and scientific computing, data analytics, HPC and more. It’s a free, drop in replacement for existing Python distributions that requires no changes to Python code. Yet benchmarks show big Intel Xeon processor performance improvements and even bigger Intel Xeon Phi processor performance improvements.”
In this week’s Sponsored Post, Nicolas Dube of Hewlett Packard Enterprise outlines the future of HPC and the role and challenges of exascale computing in this evolution. The HPE approach to exascale is geared to breaking the dependencies that come with outdated protocols. Exascale computing will allow users to process data, run systems, and solve problems at a totally new scale, which will become increasingly important as the world’s problems grow ever larger and more complex.
To achieve high performance, modern computer systems rely on two basic methodologies to scale resources: scale-up or scale-out. The scale-up in-memory system provides a much better total cost of ownership and can provide value in a variety of ways. “If the application program has concurrent sections then it can be executed in a “parallel” fashion. Much like using multiple bricklayers to build a brick wall. It is important to remember that the amount and efficiency of the concurrent portions of a program determine how much faster it can run on multiple processors. Not all applications are good candidates for parallel execution.”
“The multidisciplinary research team and computational facilities –including MareNostrum– make BSC an international centre of excellence in e-Science. Since its establishment in 2005, BSC has developed an active role in fostering HPC in Spain and Europe as an essential tool for international competitiveness in science and engineering. The center manages the Red Española de Supercomputación (RES), and is a hosting member of the Partnership for Advanced Computing in Europe (PRACE) initiative.”
Applications such as machine learning and deep learning require incredible compute power, and these are becoming more crucial to daily life every day. These applications help provide artificial intelligence for self-driving cars, climate prediction, drugs that treat today’s worst diseases, plus other solutions to more of our world’s most important challenges. There is a multitude of ways to increase compute power but one of the easiest is to use the most powerful GPUs.
Here’s a recap of SC16 announcements from Intel that are designed to provide even more powerful capabilities to address HPC challenges like energy efficiency, system complexity, and the ability for simplified workload customization. In supercomputing, one size certainly does not fit all. Intel’s new and updated technologies take a step forward in addressing these issues, allowing users to focus more on their applications for HPC, not the technology behind it.
Have you ever wondered why your HPC installation is not performing as you had envisioned ? You ran small simulations. You spec’d out the CPU speed, the network speed and the disk drive speed. You optimized your application and are taking advantage of new architectures. But now as you scale the installation, you realize that the storage system is not performing as expected. Why ? You bought the latest disk drives and expect even better than linear performance from the last time you purchased a storage system. Read how you can get increased efficiency of your storage system.
Accelerated computing continues to gain momentum as the HPC community moves towards Exascale. Our recent Tesla P100 GPU review shows how these accelerators are opening up new worlds of performance vs. traditional CPU-based systems and even vs. NVIDIA’s previous K80 GPU product. We’ve got benchmarks, case studies, and more in the insideHPC Research Report on GPU Accelerators.
A workflow to support genomic sequencing requires a collaborative effort between many research groups and a process from initial sampling to final analysis. Learn the 4 steps involved in pre-processing.
Demonstrating Asetek’s adaptability to any data center cooling need, HPC installations from around the world are currently on display at SC16 in Salt Lake City, Utah November 14-17. Servers from these installations featuring Asetek liquid cooling will be on display including servers installed at Oakforest-PACS, the highest Performance Supercomputer System in Japan.