CSCS Top Right Frontpage
HPCwire

Since 1986 - Covering the Fastest Computers
in the World and the People Who Run Them

Language Flags

Visit additional Tabor Communication Publications

Datanami
Digital Manufacturing Report
HPC in the Cloud
Green Computing Report

Tabor Communications
Corporate Video

Blog: From the Editor

From the Editor | Main Blog Index

IBM Demos Record-Breaking Parallel File System Performance


A research group at IBM has come up with a prototype parallel storage system that they claim is an order of magnitude faster than anything demonstrated before. Using a souped-up version of IBM's General Parallel File System (GPFS) and a set of Violin Memory's solid-state storage arrays, the system was able to scan 10 billion files in 43 minutes. They say that's 37 times faster than the last time IBM topped out GPFS performance in 2007.

The idea behind 10-billion files scans is demonstrate GPFS can keep pace with the enormous flood of data that organizations are amassing. According to IDC, there will be 60 exabytes of digitized data this year and these data stores are expected to increase 60 percent per year. In a nutshell, we're heading for a zettabyte world.

But it's not just the aggregate size of storage. Individual businesses and government organizations will soon be expected to actively manage 10 to 100 billion files in a single system. The HPCS DARPA program requires a trillion files in a single system.

That's certainly beyond the capabilities of storage systems today. Even parallel file systems designed for extreme scalability, like GPFS and Lustre currently top out at about 2 billion files. But the limit is not storage capacity, it's performance.

While hard drive capacity is increasing at about 25 to 40 percent per year, performance is more in the range of 5 to 10 percent. That's a problem for all types of storage I/O, but especially for operations on metadata. Metadata is the information that describes file attributes, like name, size, data type, permissions, etc. This information, while small in size, has to be accessed often and quickly -- basically every time you do something with a file. When you have billions of files being actively managed, the metadata becomes a choke point.

Typically metadata itself doesn't require lots of capacity. To store the attributes for 10 billion files, you only need four 2TB disks; they just aren't fast enough for this level of metadata processing. To get the needed I/O bandwidth, you'd actually need around 200 disk drives. (According to IBM, their 2007 scanning demo of 1 billion files under GPFS required 20 drives.) Using lots of disks to aggregate I/O for metadata is a rather inefficient approach, considering the amount of power, cooling, floor space and system administration associated with disk arrays.

The obvious solution is solid-state storage, and that is indeed what the IBM researchers used for their demo this week. In this case, they used hardware from Violin Memory, a maker of flash storage arrays. According to the IBM researchers, the Violin gear provided the attributes needed for the extreme levels of file scan performance: high bandwidth; low I/O access time, with good transaction rate at medium sized blocks; sustained performance with mixing different I/O access patterns; multiple access paths to shared storage, and reliable data protection in case of NAND failure.

When I asked the IBM team why they opted for Violin in preference to other flash memory offerings, they told me the Violin storage met all of these requirements as well or better than any other SSD approach they had seen. "For example, SSDs on a PCI-e card will not address the high availability requirement unless it replicates with another device," they said. "This will effectively increase the solution cost. Many SSDs we sampled and evaluated do not sustain performance when mixing different I/O access patterns."

The storage setup for the demo consisted of four Violin Memory 3205 arrays, with a total raw capacity of 10 TB (7.2 GB usable), and aggregate I/O bandwidth of 5 GB/second. The four arrays can deliver on the order of a million IOPS with 4K blocks, with a typical write latency of 20us and read latency of 90us.

Driving the storage were ten IBM 3650 M2 dual-socket x86 servers, each with 32 GB of memory. The 3650 cluster was connected with InfiniBand, with the Violin boxes hooked to the servers via PCIe.

All 6.5 TB of metadata for the 10 billion files was mapped to the four 3U Violin arrays. No disk drives were required since, for demonstration purposes, the files themselves contained no data. To provide a more or less typical file system environment, the files were spread out across 10 million directories. Scaled up to 100 billion files, the researchers estimated that just half a rack of flash storage arrays would be needed for the metadata, compared to five to ten racks of disks required for the same performance.

It's noteworthy that the researchers selected Violin gear for this particular demo, especially considering that IBM is currently shipping Fusion-io PCI-based flash drives with its System X servers. Even though the work describe here was just a research project, with no timetable for commercialization, it's not too big a stretch to imagine future IBM systems with Violin technology folded in. The larger lesson though is that solid-state storage is likely to figure prominently in future storage system, IBM or otherwise, when billions of files is are in the mix.

Posted by Michael Feldman - July 21, 2011 @ 9:05 PM, Pacific Daylight Time

Sponsored Links

Webinar: Programming Heterogeneous X64+GPU Systems Using OpenACC
Join Michael Wolfe as he compares the advantages and costs of using both low-level models and the directive-based OpenACC model for programming accelerated heterogeneous systems. Registration is free.

Accelerate your science with Seneca
One of the first HPC providers installing a 4X NVIDIA Kepler K-20 cluster. Invites you to a free evaluation on Seneca’s NVIDIA K20 Kepler cluster, pre-loaded with AMBER, NAMD, LAMMPS

High-Performance Computing in Action
Businesses that want to be on the cutting edge of their industries are increasingly turning to high-performance computing (HPC) solutions to handle complex compute processes and speed up their rate of innovation. Download this Executive Brief to see how businesses in energy, life sciences and entertainment put HPC solutions to work in their operations.

Michael Feldman

Michael Feldman

Michael Feldman is the editor of HPCwire.

More Michael Feldman


Recent Comments

No Recent Blog Comments

Feature Articles

Exascale Advocates Stand on Nuclear Stockpiles

In quieter times, sounding the bell of funding big science with big systems tends to resonate further than when ears are already burning with sour economic and national security news. For exascale's future, however, the time could be ripe to instill some sense of urgency....
Read more...

NSF Forges Further Beyond FLOPs

In a recent solicitation, the NSF laid out needs for furthering its scientific and engineering infrastructure with new tools to go beyond top performance, Having already delivered systems like Stampede and Blue Waters, they're turning an eye to solving data-intensive challenges. We spoke with the agency's Irene Qualters and Barry Schneider about..
Read more...

CERN, Google Drive Future of Global Science Initiatives

Large-scale, worldwide scientific initiatives rely on some cloud-based system to both coordinate efforts and manage computational efforts at peak times that cannot be contained within the combined in-house HPC resources. Last week at Google I/O, Brookhaven National Lab’s Sergey Panitkin discussed the role of the Google Compute Engine in providing computational support to ATLAS, a detector of high-energy particles at the Large Hadron Collider (LHC).
Read more...

Short Takes

NASA Builds 'Climate in a Box'

May 23, 2013 | The study of climate change is one of those scientific problems where it is almost essential to model the entire Earth to attain accurate results and make worthwhile predictions. In an attempt to make climate science more accessible to smaller research facilities, NASA introduced what they call ‘Climate in a Box,’ a system they note acts as a desktop supercomputer.
Read more...

Building Supercomputers with Raspberries

May 22, 2013 | At some point in the not-too-distant future, building powerful, miniature computing systems will be considered a hobby for high schoolers, just as robotics or even Lego-building are today. That could be made possible through recent advancements made with the Raspberry Pi computers.
Read more...

Running Computational Fluid Dynamics in the Cloud

May 16, 2013 | When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2.
Read more...

Computing the Physics of Bubbles

May 15, 2013 | Supercomputers at the Department of Energy’s National Energy Research Scientific Computing Center (NERSC) have worked on important computational problems such as collapse of the atomic state, the optimization of chemical catalysts, and now modeling popping bubbles.
Read more...

Sponsored Whitepapers

Best Practices in Big Data Storage

05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.

Progress in Parallel: the Bull Parallel Programming Center

04/15/2013 | Bull | “50% of HPC users say their largest jobs scale to 120 cores or less.” How about yours? Are your codes ready to take advantage of today’s and tomorrow’s ultra-parallel HPC systems? Download this White Paper by Analysts Intersect360 Research to see what Bull and Intel’s Center for Excellence in Parallel Programming can do for your codes.

Sponsored Multimedia

SGI DMF ZeroWatt Disk Solution

In this demonstration of SGI DMF ZeroWatt disk solution, Dr. Eng Lim Goh, SGI CTO, discusses a function of SGI DMF software to reduce costs and power consumption in an exascale (Big Data) storage datacenter.

Cray CS300-AC Cluster Supercomputer Air Cooling Technology Video

The Cray CS300-AC cluster supercomputer offers energy efficient, air-cooled design based on modular, industry-standard platforms featuring the latest processor and network technologies and a wide range of datacenter cooling requirements.

Blogs by Topics

Blogs by Author

HPC Blogroll


Featured Events


  • June 16, 2013 - June 20, 2013
    ISC'13
    Leipzig,
    Germany

  • June 17, 2013 - June 18, 2013
    Forecast 2013
    San Francisco, CA
    United States





HPCwire Events