Sign up for our newsletter and get the latest HPC news and analysis.
Send me information from insideHPC:


Red Hat Showcases ThunderX 2 Development Platform for HPC

In this video, Jon Masters from Red Hat describes the company’s multi-architecture solutions that were on display at ISC 2017. “Developing new and adapting existing highly scalable applications to take advantage of the new technological advances across multiple deployment domains is the greatest challenge facing HPC sites. This is where the operating system can provide a unified interface to the underlying hardware and interconnects and serve as a foundation for modular and standardized application stacks that take advantage of enhanced system capabilities.”

Allinea to Showcase V7.1 Performance Tools at ISC 2017

Today Allinea software, now part of ARM, announced plans to preview the latest update to its powerful tool suite for developing and optimizing high performance and scientific applications at ISC17 in Frankfurt. “Eliminating performance loss across systems and minimizing the communication overhead often make a critical difference in improving application run times in HPC. We believe that our extended cross-platform support will enable users to achieve unprecedented results by running their systems more efficiently on each of the major platforms and even across platforms,” said Mark O’Connor, director of product management, server and HPC tools, ARM.

IBM’s New PowerAI Software Speeds Deep Learning

IBM PowerAI on Power servers with GPU accelerators provide at least twice the performance of our x86 platform; everything is faster and easier: adding memory, setting up new servers and so on,” said current PowerAI customer Ari Juntunen, CTO at Elinar Oy Ltd. “As a result, we can get new solutions to market very quickly, protecting our edge over the competition. We think that the combination of IBM Power and PowerAI is the best platform for AI developers in the market today. For AI, speed is everything —nothing else comes close in our opinion.”

Video: IBM Datacentric Servers & OpenPOWER

“Big data analytics, machine learning and deep learning are among the most rapidly growing workloads in the data center. These workloads have the compute performance requirements of traditional technical computing or high performance computing, coupled with a much larger volume and velocity of data. Conventional data center architectures have not kept up with the needs for these workloads. To address these new client needs, IBM has adopted an innovative, open business model through its OpenPOWER initiative.”

Echelon Code on Minksy Servers Sets Record for Oil & Gas Simulation

IBM and Stone Ridge Technology have announced a new performance milestone in reservoir simulation that will improve efficiency and lower the cost of production. Working with Nvidia, the companies reported that they had beat previous results using one-tenth the power and 1/100th of the space by employing GPUs alongside a GPU optimized code from Stone Ridge Technology called ECHELON.

Open CAPI: A New Standard for High Performance Attachment of Memory, Acceleration, and Networks

In this video from the Switzerland HPC Conference, Jeffrey Stuecheli from IBM presents: Open CAPI, A New Standard for High Performance Attachment of Memory, Acceleration, and Networks. “OpenCAPI sets a new standard for the industry, providing a high bandwidth, low latency open interface design specification. This session will introduce the new standard and it’s goals. This includes details on how the interface protocol provides unprecedented latency and bandwidth to attached devices.”

OpenPOWER Developer Congress Event to Focus on Machine Learning

Today IBM announced that the first annual OpenPOWER Foundation Developer Congress will take place May 22-25 in San Francisco. With a focus on Machine Learning, the conference will focus on continuing to foster the collaboration within the foundation to satisfy the performance demands of today’s computing market.

GTC to Feature 90 Sessions on HPC and Supercomputing

Accelerated computing continues to gain momentum. This year the GPU Technology Conference will feature 90 sessions on HPC and Supercomputing. “Sessions will focus on how computational and data science are used to solve traditional HPC problems in healthcare, weather, astronomy, and other domains. GPU developers can also connect with innovators and researchers as they share their groundbreaking work using GPU computing.”

E4 Computer Engineering’s Showcases New Petascale OCP Platform

Today E4 Computer Engineering from Italy showcased a new PetaFlops-Class Open Compute Server with “remarkable energy efficiency” based on the IBM POWER architecture. “Finding new ways of making easily deployable and energy efficient HPC solutions is often a complex task, which requires a lot of planning, testing and benchmarking – said Cosimo Gianfreda CTO, Co-Founder, E4 Computer Engineering. – We are very lucky to work with great partners like Wistron, as their timing and accuracy means we have all the right conditions to have effective time-to-market. I strongly believe that the performance on the node, coupled with the power monitoring technology, will receive a wide acceptance from the HPC and Enterprise community.”

IBM Adds TensorFlow Support for PowerAI Deep Learning

Today IBM announced that its PowerAI distribution for popular open source Machine Learning and Deep Learning frameworks on the POWER8 architecture now supports the TensorFlow 0.12 framework that was originally created by Google. TensorFlow support through IBM PowerAI provides enterprises with another option for fast, flexible, and production-ready tools and support for developing advanced machine learning products and systems.