HPC Advisory Council Israel Conference

We held the HPC Advisory Council Israel Supercomputing Conference this week at the Tel Aviv University. 140 attendees participated in the conference, making it one of the largest HPC focus conferences in Israel.

I would like to thank our sponsors (Intel, IBM, AMD, Panasas, Mellanox, NetOptics and SagivTech), as well our speakers.


HPCAC Israel 2012

Happy Holidays and Happy new Year!

2011 was a great year for the HPC Advisory Council. We have created and published many best practices, established new special interest groups and conducted multiple HPC conferences around the world – Switzerland, Germany, China, Ukraine and in the USA. I would like to thank all who helped with the council activities throughout the year.


We are looking forward to even busier 2012 – we will be doing at least six HPC conferences – starting in Israel in February, Switzerland in March, Germany in June, Spain in September, China in October and USA in December. We might add couple more during 2012.

We continue to collect more training material to post on our web site – please send us anything that makes sense to info at hpcadvisorycouncil dot com. As well as any suggestions or ideas. Below a picture from our latest Stanford HPC conference.

Wishing you all happy holidays and happy new year!

Gilad and the HPC Advisory Council board



Enabling Discovery with Dell HPC Solutions Workshop in Lexington, KY October 25th, 2011

Join us on October 25th 2011 for an HPC Workshop “Enabling Discovery with Dell HPC Solutions” in Lexington, KY.  The event will include presenters who will share their HPC experiences applicable to all HPC disciplines and will conclude with an HPC Panel of Experts with opinions from Industry leaders.  Register here:   https://www.etouches.com/HPCLexington

Christine Fronczak, Dell

Mendel says: It is time for low latency

Those of you who have been reading my blog or listening to my various conference talks since I arrived at VMware last year know I have been arguing there is an important convergence underway between HPC and Enterprise IT requirements. In large part this is being driven by fundamental changes within Enterprise computing, specifically the move towards massive, horizontally-scaled infrastructure to deliver scalable services externally in the cloud or internally for strategic business advantage.

As you’d expect with my background, I’ve been looking at this from an HPC perspective, noting that the HPC community has been heavily invested for decades in scale-out cluster provisioning, management, monitoring, etc. And they have built expertise around hardware architectures to support scale-out computing, most particularly in the design of high-performance interconnect fabrics. These fabrics support the link-level bandwidths and latencies as well as the fabric bisection bandwidths needed to enable both highly-parallel computations as well as ubiquitous, high-performance access to shared resources like storage in a high-scale environment.

Imagine my delight when I came across a position paper espousing the same view titled It’s Time for Low Latency by Stephen Rumble, Ryan Stutsman, Mendel Rosenblum, and John Ousterhout that was presented at HotOS ’11 (http://www.scs.stanford.edu/~rumble/papers/latency_hotos11.pdf). And what a coincidence that the paper’s third author is none other than VMware’s well known co-founder, Mendel Rosenblum.

The paper approaches the importance of low latency from an Enterprise perspective, citing numerous reasons why a high-performance interconnect will benefit the modern datacenter and its applications. The paper is styled as a call to action for OS and system designers to heed the need to pay significant attention to making low latency communication available to current and emerging Enterprise applications, including Big Data applications.

The paper is a quick read and well worth the time.

Josh Simons, VMware

Special Interest Sub-Groups Chairs Announced

The HPC Advisory Council includes five special interest subgroups:

  1. HPC|Scale Subgroup – exploring the usage of commodity HPC as a replacement for multi-million dollar mainframes and proprietary based supercomputers with networks and clusters of microcomputers acting in unison to deliver high-end computing services. Chair: Richard Graham
  2. HPC|Cloud Subgroup – exploring the usage of HPC components as part of the creation of external/public/internal/private cloud computing environments. Chair: William Lu
  3. HPC|Works Subgroup – providing best practices for building balanced and scalable HPC systems, performance tuning and application guidelines. Chair: Pak Lui
  4. HPC|Storage Subgroup – demonstrate how to build high-performance storage solutions and their affect on application performance and productivity. One of the main interests of the HPC|Storage subgroup is to explore Lustre based solutions, and to expose more users to the potential of Lustre over high-speed networks. Chair: Hussein Harake
  5. HPC|GPU Subgroup – exploring usage models of GPU components as part of next generation compute environments and potential optimizations for GPU based computing. Chairs: Sadaf Alam and Gilad Shainer.

If anyone interested in joining and contributing to the groups activities, please contact info@hpcadvisorycouncil.com. I do want to thank the groups chairs for their contributions.

Regards, Gilad.

Announcing the HPC Advisory Council China Workshop 2011

The HPC Advisory Council will hold the 2011 China Workshop on October 25th, 2011, in conjunction with the HPC China conference in Jinan, China. The workshop will focus on HPC productivity, and advanced HPC topics and futures, and will bring together system managers, researchers, developers, computational scientists and industry affiliates to discuss recent developments and future advancements in High-Performance Computing.

Last year more than 300 attendees participated in the Advisory Council China Workshop 2010. This year we expect to reach 400 attendees. The preliminary agenda is now posted on the workshop web, as well as call for speakers and for sponsors. AMD, Dell, Mellanox and Microsoft already confirmed their sponsorship and we are grateful for that.

The workshop keynotes presenters are Richard Graham (Distinguished Member of the Research Staff, Computer Science and Mathematics Division, Oak Ridge National Laboratory, USA), Professor Dhabaleswar K. Panda (Ohio State University, USA) and Professor Rafael Mayo-Gual (University Jaume I, Spain). The workshop will feature many interesting topics and distinguished speakers. More info can be found on the workshop web – http://hpcadvisorycouncil.com/events/2011/china_workshop/index.php.



HPC Advisory Council European 2011 Workshop

The HPC Advisory Council held the 2011 European Workshop on June 19th, 2011, in conjunction with the ISC’11 conference in Hamburg, Germany. More than 80 attendees participated in the workshop, which hosted 21 presenters covering interesting topics related to different aspects of high-performance computing. You can find most of the presentations on the workshop web page http://www.hpcadvisorycouncil.com/events/2011/european_workshop/agenda.php.

I would like to thank the presenters and the sponsors for their generous support, making the workshop a great success. Below you can find some pictures from the workshop. The workshop was also covered by InsideHPC, and you can find some videos on www.insideHPC.com  

Our next workshop will be in China, in conjunction with HPC China, October 25th in Jinan. Call for presentations will be open shortly, and if you would like to present or sponsor, you can also contact the council at info@hpcadvisorycouncil.com.




HPC Advisory Council ISCnet FDR InfiniBand 56Gb/s World First Demonstration

The HPC Advisory Council, together with ISC, showcased the world’s first FDR 56Gb/s InfiniBand during the ISC’11 conference in Hamburg, Germany on June 20-22. The demonstration was part of the HPC Advisory Council activities of hosting and organizing new technology demonstrations at leading HPC conferences that demonstrate new solutions which will influence future HPC systems in term of performance, scalability and utilization. The 56Gb/s InfiniBand demonstration connected participating exhibitors on the ISC’11 showroom floor as part of the HPC Advisory Council ISCnet network. The ISCnet network provided organizations with fast interconnect connectivity between their booths on the show floor to demonstrate various HPC applications, and new developments and products.

The FDR InfiniBand network included dedicated and distributed clusters as well as a Lustre-based storage system. Multiple applications were demonstrated, including high-speed visualizations. The following HPC Council member organizations have contributed and are participated in the world’s first FDR 56Gb/s InfiniBand ISCnet demonstration: AMD, Corning Cable Systems, Dell, Fujitsu, HP, HPC Advisory Council, MEGWARE, Mellanox Technologies, Microsoft, OFS, Scalable Graphics, Supermicro and Xyratex.

I would like to thank all of the demo participants and you can see the network map below.




Xyratex engineers HPC Data Storage Solution

About two years ago, we initiated an investigation into new market opportunities for Xyratex. During this investigation we learned that the High Performance Computing (HPC) market was a dynamic market opportunity with a substantial need for better data storage design. We also discovered that the way data storage was being implemented at many of these supercomputing sites was unduly complicated in terms of initial installation, performance optimization and ongoing management. Users had to contend with days and possibly weeks of tweaking to get the system up and running stably. After this initial installation period was complete, the ongoing management of the system was also complicated by varied and disjointed system and management tools. Often administrators would have to contend with debug scenarios that required the application of scarce resources and ultimately the sub optimal performance of their HPC system.

We were surprised at these findings and saw a lot of opportunity for Xyratex to deliver new innovation in terms of performance, availability and ease of management. Xyratex decided to make a significant investment in addressing these needs. This investment included the acquisition of ClusterStor, but didn’t stop there. We have nearly 150 engineers working on the program and we developed a brand new high density application platform that is optimized for performance and availability. Finally, we developed a new management framework that addresses the complexity issues we found in the management of HPC storage clusters.

Today, we announced the ClusterStor™ 3000. This release is the result of that significant investment over the last two years and provides our partners with an innovative new solution for the HPC marketplace. We leveraged our core capabilities, in data storage subsystem design and the Lustre expertise we obtained in the ClusterStor acquisition last year, to develop an HPC solution that provides the best-in-class performance, scale out architecture and unprecedented ease of management.

Ken Claffey, Xyratex

SPM.Python Version 3.110505 Release

We are proud to announce the release of SPM.Python version 3.110505, and wish to acknowledge the generous support of the HPC Advisory Council in providing access to GPU servers to validate and stress test of our solution.

SPM.Python is a scalable parallel version of the popular Python language. Showcased as a disruptive technology at Supercomputing 2010 and highlighted on StartUp Row at PyCON 2011, it enables users to exploit parallelism across servers, cores and GPUs in a fault tolerant manner.

Using resources at the HPC Advisory Council High Performance Center, we were able to conduct around 20,000 different sets of experiments; most were designed to fail in order to
validate the failure recovery and self-cleaning capabilities of SPM.Python.

With this release, users may launch any standalone application in parallel and in a manner that inherits fault tolerance from SPM.Python, thus freeing the developers to focus on their core application while maximizing utilization of resources and minimizing runtime costs.