Archive for the ‘infiniband’ Category

National Supercomputing Centre in Shenzhen (NSCS) – #2 on June 2010 Top500 list

Monday, June 14th, 2010

I had the pleasure to be little bit involved in the creation of the fastest supercomputer in Asia, and the second fastest supercomputer in the world – the Dawning “Nebulae” Petaflop Supercomputer at SIAT. If we look on the peak flops capacity of the system – nearly 3 Petaflops, it is the largest supercomputer in the world. I visited the supercomputer site in April and saw how fast it was assembled. It took around 3 weeks to get it up and running – amazing, well, this is one of the benefits of using cluster architecture instead of the expensive proprietary systems. The first picture by the way was taken during the system setup in Shenzhen.

 

 

 

 

 

 

 

 

 

The system includes 5200 Dawning TC3600 Blades, each with NVIDIA Fermi GPU to provide 120K cores, all connected with Mellanox ConnectX InfiniBand QDR adapters, IS5000 switches and the fabric management. It is the 3rd system in the world to provide more than sustained Petaflop performance (after Roadrunner and Jaguar). Unlike Jaguar (from Cray) that requires 20K nodes to reach the required performance, Nebulae does it with only 5.2K nodes – reducing the needed real-estate etc, making is much more cost effective. It is yet another prove that commodity-based supercomputers can deliver better performance, cost/performance and other x/performance metrics compared to the proprietary systems. As GPUs gain higher popularity, we also witness the effort that is being done to create and port the needed applications to GPU-based environments, which will bring a new era of GPU computing. It is clear that GPUs will drive the next phase of supercomputers, and of course the new speeds and feeds of the interconnect solutions (such as the IBTA’s new specifications for the FDR/EDR InfiniBand speeds).

The second picture was taken at the ISC’10 conference, after the Top500 award ceremony. You can see the Top500 certificates…

 

 

 

 

 

 

 

 

 

Regards,

Gilad Shainer
Shainer@mellanox.com

The biggest winner of the new June 2010 Top500 Supercomputers list? InfiniBand!

Monday, May 31st, 2010

Published twice a year, the Top500 supercomputers list ranks the world fastest supercomputers and provides a great indication for HPC market trends, usage models and a tool for future predictions. The 35th release of the Top500 list was just published and according to the new results InfiniBand has become the de-facto interconnect technology for high performance computing.

What wasn’t said on InfiniBand from the competitor world? Too many time I have heard that InfiniBand is dead and that Ethernet is the killer. I am just sitting in my chair and laughing. InfiniBand is the only interconnect that is growing on the Top500 list, more than 30% growth year over year (YoY) and it is growing by continuing to uproot Ethernet and the proprietary solutions. Ethernet is 14% down YoY and it has become very difficult to spot a proprietary clustered interconnect…  Even more, in the hard core of HPC, the Top100, 64% of the systems are InfiniBand and are using solutions from Mellanox. InfiniBand is definitely proven to provide the needed scalability, efficiency and performance, and to really deliver the highest CPU or GPU availability to the user or to the applications. Connecting 208 systems from the list is only steps away from connecting the majority of the systems.

What makes InfiniBand so strong? The fact that it solves issues and does not migrate them to other parts of the systems. In a balanced HPC system, each components needs to do its work, and not rely on other components to do overhead tasks. Mellanox is doing a great job in providing solutions that offload all the communications and can provide the needed accelerations for the CPU or GPU, and maximize the CPU/GPU cycles for the applications. The collaborations with NVIDIA on the NVIDA GPUDirect, Mellanox CORE-Direct and so forth are just few examples.

The GPUDIrect is a great example on how Mellanox can offload the CPU from being involved in the GPU-to-GPU communications. No other InfiniBand vendor can do it without using Mellanox technology. GPUDirect requires network offloading or it does not work. Simple. When you want to offload the CPU from being involved in the GPU to GPU communications, and your interconnect needs the CPU to do the transports (since it is an onloading solution), the CPU is involved in every GPU transaction. Only offloading interconnects, such as Mellanox InfiniBand can really deliver the benefits of the GPUDirect.

If you want more information on the GPUDirect and other solutions, feel free to drop a note to hpc@mellanox.com.

Gilad

Visit Mellanox at ISC’10

Thursday, May 27th, 2010

It’s almost time for ISC’10 in Hamburg, Germany (May 31-June 3), please stop by and visit Mellanox Technologies booth (#331) to learn more about how our products deliver market-leading bandwidth, high-performance, scalability, power conservation and cost-effectiveness while converging multiple legacy network technologies into one future-proof solution.  

Mellanox’s end-to-end 40Gb/s InfiniBand connectivity products deliver the industry’s leading CPU efficiency rating on the TOP500. Come see our application acceleration and offload technologies that decrease run time and increase cluster productivity.

Hear from our HPC Industry Exports

Exhibitor Forum Session – Tuesday, June 1, 9:40AM – 10:10AM

Speaking: Gilad Shainer, Sr. Director of HPC Marketing / Michael Kagan, CTO

HOT SEAT SESSION – Tuesday, June 1, 3:15PM – 3:30PM

Speaking: Michael Kagan, CTO

JuRoPa breakfast Session – Wednesday, June 2, 7:30AM – 8:45AM

Speaking: Gilad Shainer, Sr. Director of HPC Marketing / Michael Kagan, CTO

“Low Latency, High Throughput, RDMA & the Cloud In-Between” – Wednesday, June 2, 10:00AM – 10:30AM

Speaking: Gilad Shainer, Sr. Director of HPC Marketing

“Collectives Offloads for Large Scale Systems” – Thursday, June 3, 11:40AM – 12:20PM

Speaking: Gilad Shainer, Mellanox Technologies; Prof. Dr. Richard Graham, Oak Ridge National Laboratory

“RoCE – New Concept of RDMA over Ethernet” – Thursday, June 3, 12:20PM – 1:00PM

Speaking: Gilad Shainer, Sr. Director of HPC Marketing and Bill Lee, Sr. Product Marketing Manager

GPU-Direct Technology – Accelerating GPU based Systems

Thursday, April 29th, 2010

The rapid increase in the performance of graphics hardware, coupled with recent improvements in its programmability, has made graphics accelerators a compelling platform for computationally demanding tasks in a wide variety of application domains. Due to the great computational power of the GPU, the GPGPU method has proven valuable in various areas of science and technology.

GPU based clusters are being used to perform compute intensive tasks, like finite element computations, Computational Fluids Dynamics, Monte-Carlo simulations etc. Several of the world leading supercomputers are using GPUs in order to achieve the desired performance. Since the GPUs provide high core count and floating point operations capability, a high-speed networking such as InfiniBand is required to connect between the GPU platforms, in order to provide the needed throughput and the lowest latency for the GPU to GPU communications.

While GPUs have been shown to provide worthwhile performance acceleration yielding benefits to both price/performance and power/performance, several areas of GPU based clusters could be improved in order to provide higher performance and efficiency. One of the main performance issues with deploying clusters consisting of multi-GPU nodes involves the interaction between the GPUs, or the GPU to GPU communication model. Prior to the GPU-Direct technology, any communication between GPUs had to involve the host CPU and required buffer copy. The GPU communication model required the CPU to initiate and manage memory transfers between the GPUs and the InfiniBand network. Each GPU to GPU communication had to follow the following steps:

  1. The GPU writes data to a host memory dedicated to the GPU
  2. The host CPU copies the data from the GPU dedicated host memory to host memory available for the InfiniBand devices to use for RDMA communications
  3. The InfiniBand device reads data from that open area and send it to the remote node

Gilad Shainer
Senior Director of HPC and Technical Marketing

InfiniBand Leads the Russian Top50 Supercomputers List; Connects 74 Percent, Including Seven of the Top10 Supercomputers

Tuesday, April 13th, 2010

Announced last week, the Russia TOP50 lists the fastest computers in Russia ranked according to Linpack benchmark results.  This list provides an important tool for tracking usage trends in high-performance computing in Russia.

Mellanox 40Gb/s InfiniBand adapters and switches enable the fastest supercomputer on the Russian Top50 Supercomputer list with peak performance of 414 teraflops. More importantly, it is clear that InfiniBand is dominating the list as the most used interconnect solution, connecting 37 systems, including the top three systems and seven of the Top10. According to the Linpack benchmark, InfiniBand’s high system efficiency and utilization allow users to maximize their return-on-investment for their high-performance computing server and storage infrastructure by demonstrating up to 92 percent efficiency. Nearly three quarters of the list, represented by leading research laboratories, universities, industrial companies and banks in Russia, rely on industry-leading InfiniBand solutions to provide the highest in bandwidth, efficiency, scalability, and application performance.

Highlights of InfiniBand usage on the April 2009 Russia TOP50 list include:

  • Mellanox InfiniBand connects 74 percent of the Top50 list, including seven of the Top10 most prestigious positions (#1, #2, #3, #6, #8, #9 and #10)
  • Mellanox InfiniBand provides world-leading system utilization, up to 92 percent efficiency as measured by the Linpack benchmark
  • The list showed a sharp increase in the aggregated performance – the total peak performance of the list exceeded 1PFlops to reach 1152.9TFlops, an increase of 120 percent compared to the September 2009 list – highlighting the  increasing demand for higher performance
  • Ethernet connects only 14 percent of the list (seven systems); and there were no 10GigE clusters
  • Proprietary clustering interconnects declined 40 percent to connect only three systems on the list

I look forward to seeing the results of the Top500 in June at the International Supercomputing Conference.  I will be attending the conference, and I look forward to seeing all of our HPC friends in Germany.

Brian Sparks
Sr. Director of Marketing Communications

Partners Healthcare Cuts Latency of Cloud-based Storage Solution Using Mellanox InfiniBand Technology

Friday, February 19th, 2010

Interesting article just came out from Dave Raffo at SearchStorage.com. I have a quick summary below but you should certainly read the full article here: “Health care system rolls its own data storage ‘cloud’ for researchers.”

Partners HealthCare, a non-profit organization founded in 1994 by Brigham and Women’s Hospital and Massachusetts General Hospital, is an integrated health care system that offers patients a continuum of coordinated high-quality care.

Over the past few years, ever-increasing advances in the resolution and accuracy of medical devices and instrumentation technologies have led to an explosion of data in biomedical research. Partners recognized early on that a Cloud-based research compute and storage infrastructure could be a compelling alternative for their researchers. Not only would it enable them to distribute costs and provide storage services on demand, but it would save on IT management time that was spent fixing all the independent research computers distributed across the Partners network.

Initially, Partners Healthcare chose Ethernet as the network transport technology. As demand grew the solution began hitting significant performance bottlenecks, particularly during read/write of 100’s of thousands of small files. The issue was found to lie with the interconnect—Ethernet created problems due to its high natural latency. In order to provide a scalable low latency solution, Partners Healthcare turned to InfiniBand. With InfiniBand on the storage back end, Partners experienced roughly two orders of magnitude faster read times. “One user had over 1,000 files, but only took up 100 gigs or so,”said Brent Richter corporate manager for enterprise research infrastructure and services, Partners HealthCare System.”Doing that with Ethernet would take about 40 minutes just to list that directory. With InfiniBand, we reduced that to about a minute.”

Also, Partners chose InfiniBand over 10-Gigabit Ethernet because InfiniBand is a lower latency protocol. “InfiniBand was price competitive and has lower latency than 10-Gig Ethernet,” he said.

Richter said the final price tag came to about $1 per gigabyte.

By integrating Mellanox InfiniBand into the storage solution, Partners Healthcare was able to reduce latency close to zero and increase its performance, providing their customers with faster response and higher capacity.

Till next time,

Brian Sparks

Sr. Director, Marketing Communication

Interconnect analysis: InfiniBand and 10GigE in High-Performance Computing

Wednesday, October 7th, 2009

InfiniBand and Ethernet are the leading interconnect solutions for connecting servers and storage systems in high-performance computing and in enterprise (virtualized or not) data centers. Recently, the HPC Advisory Council has put together the most comprehensive database for high-performance computing applications to help users understand the performance, productivity, efficiency and scalability differences between InfiniBand and 10 Gigabit Ethernet.

In summary, there are a large number of HPC applications that need the lowest possible latency for best performance or the highest bandwidth (for example Oil&Gas applications as well as weather related applications). There are some HPC applications that are not latency sensitive. For example, gene sequencing and some bioinformatics applications are not sensitive to latency and scale well with TCP-based networks including GigE and 10GigE. For HPC converged networks, putting HPC message passing traffic and storage traffic on a single TCP network may not provide enough data throughput for either. Finally, there is a number of examples that show 10GigE has limited scalability for HPC applications and InfiniBand proves to be a better performance, price/performance, and power solution than 10GigE.

The complete report can be found under the HPC Advisory Council case studies or by clicking here.

ROI through efficiency and utilization

Monday, September 21st, 2009

High-performance computing provides an invaluable role in research, product development and education. It helps accelerate time to market, and provides significant cost reductions in product development and tremendous flexibility. One strength in high-performance computing is the ability to achieve best sustained performance by driving the CPU performance towards its limits. Over the past decade, high-performance computing has migrated from supercomputers to commodity clusters. More than eighty percent of the world’s Top500 compute system installations in June 2009 were clusters. The driver for this move appears to be a combination of Moore’s Law (enabling higher performance computers at lower costs) and the ultimate drive for the best cost/performance and power/performance. Cluster productivity and flexibility are the most important factors for a cluster’s hardware and software configuration.

A deeper examination of the world’s Top500 systems based on commodity clusters shows two main interconnect solutions that are being used to connect the servers for creating those compute powerful systems – InfiniBand and Ethernet. If we divide the systems according to the interconnect family, we will see that the same CPUs, memory speed and other settings are common between the two groups. The only difference between the two groups, besides the interconnect, is the system efficiency, or how many of CPU cycles can be dedicated to the application work, and how many of them will be wasted. The below graph list the systems according to their interconnect setting, and their measured efficiency. 

Top500 Interconnect Efficiency

Top500 Interconnect Efficiency

As seen, systems connected with Ethernet achieves an average 50% efficiency, which means that 50% of the CPU cycles are wasted on non-application work or are idle, waiting for data to arrive.  Systems connected with InfiniBand achieve an above 80% efficiency average, which means that less than 20% of the CPU cycles are wasted. Moreover, the latest InfiniBand based systems have demonstrated up to 94% efficiency (the best Ethernet connected systems demonstrated 63% efficiency).

People might argue that the Linpack benchmark is not the best benchmark for measuring parallel application efficiency, and does not fully utilize the network. The graph results are a clear indication that even for the Linpack application, the network does make a difference, and for better parallel application, the gap will be much higher.

When choosing the system setting, with the notion of maximizing return on investment, one needs to make sure no artificial bottlenecks will be created. Multi-core platforms, parallel applications, large databases etc require fast data exchange and lots of it. Ethernet can become the system bottleneck due to latency/bandwidth and CPU overhead due to the TCP/UDP processing (TOE solutions introduce other issues, sometime more complicated, but this is a topic for another blog) and reduce the system efficiency to 50%. This means that half of the compute system is wasted, and just consumes power and cooling. Same performance capability could have been achieved with half of the servers if they were connected with InfiniBand. More data on different application performance, productivity and ROI, can be found at the HPC Advisory Council web site, under content/best practices.

While InfiniBand will demonstrate higher efficiency and productivity, there are several ways to increase Ethernet efficiency. One of them is optimizing the transport layer to provide zero copy and lower CPU overhead (not by using TOE solutions, as those introduce single points of failure in the system). This capability is known as LLE (low latency Ethernet). More on LLE will be discussed in future blogs.

Gilad Shainer, Director of Technical Marketing
gilad@mellanox.com

Thanks for coming to see us at VMworld

Wednesday, September 9th, 2009

VMworld was everything we expected and more. The traffic was tremendous and we had a lot of excitement and buzz in our booth (especially after we won the Best of VMworld in the Cloud Computing category). Just in case you were unable to sit through one of Mellanox’s presentations, or from one of our partners (Xsigo, HP, Intalio, RNA Networks, and OpenFabrics Alliance), we went ahead and video taped the sessions, and have posted them below.

 

 Mellanox – F.U.E.L. Efficient Virtualized Data Centers

 

 Mellanox – On-Demand Network Services

 

 Intalio – Private Cloud Platform

 

 HP BladeSystem and ExSO SL-Series

 

 Xsigo – How to Unleash vSphere’s Full Potential with Xsigo Virtual I/O

 

 RNA Networks – Virtual Memory

 

 OpenFabrics Alliance – All things Virtual with OpenFabrics and IB

Winning Gold at VMworld

Thursday, September 3rd, 2009

We were very excited to announce today that the Intalio|Cloud Appliance, accelerated by Mellanox 40Gb/s InfiniBand, has received a Best of VMworld 2009 award in the Cloud Computing Technologies category. It’s not too late to see what the fuss is all about. The Intalio|Cloud Appliance is being demonstrated at our booth (#2220) at VMworld in San Francisco. This is the last day to see us!