PathScale InfiniPath Interconnect
Listing 1. b_eff output
The effective bandwidth is b_eff = 5149.154 MByte/s on 16 processes ( = 321.822 MByte/s * 16 processes) Ping-pong latency: 1.352 microsec Ping-pong bandwidth: 923.862 MByte/s at Lmax= 1.000 MByte (MByte/s=1e6 Byte/s) (MByte=2**20 Byte) system parameters : 16 nodes, 128 MB/node system name : Linux hostname : cbc-01 OS release : 2.6.12-1.1380_FC3smp OS version : #1 SMP Wed Oct 19 21:05:57 EDT 2005 machine : x86_64 Date of measurement: Thu Jan 12 14:20:52 2006
Most vendors do not publish their message rate, instead putting out their peak bandwidth and latency. But bandwidth varies with the size of the message, and peak bandwidth is achieved only at message sizes much larger than most applications generate. For most clustered applications, the actual throughput of the interconnect is a fraction of peak, because few clustered applications pass large messages back and forth between nodes. Rather, applications running on clusters pass a large number of very small (8–1,024 byte) messages back and forth as nodes begin and finish processing their small pieces of the overall task.
This means that for most applications, the number of simultaneous messages that can be passed between nodes, or message rate, will tend to limit the performance of the cluster more than the peak bandwidth of the interconnect.
As end users attempt to solve more granular problems with bigger clusters, the average message size goes down and the overall number of messages goes up. According to PathScale's testing with the WRF modeling application, the average number of messages increases from 46,303 with a 32-node application to 93,472 with a 512-node application, while the mean message size decreases from 67,219 bytes with 32 nodes to 12,037 bytes with 512 nodes. This means that the InfiniPath InfiniBand adapter will become more effective as the number of nodes increases. This is borne out in other tests with large-scale clusters running other applications.
For developers, there is little difference between developing a standard MPI application and one that supports InfiniPath. Required software is limited to some Linux drivers and the InfiniPath software stack. Table 1 shows the versions of Linux that have been tested with the InfiniPath 1.2 release. PathScale also offers the EKOPath Compiler Suite version 2.3, which includes high-performance C, C++ and Fortran 77/90/95 compilers as well as support for OpenMP 2.0 and PathScale-specific optimizations. But the compiler suite is not required to develop InfiniPath applications because the InfiniPath software environment supports gcc, Intel and PGI compilers as well. The base software provides an environment for high-performance MPI and IP applications.
Table 1. The InfiniPath 1.2 release has been tested on the following Linux distributions for AMD Opteron systems (x86_64).
| Linux Release | Version Tested |
|---|---|
| Red Hat Enterprise Linux 4 | 2.6.9 |
| CentOS 4.0-4.2 (Rocks 4.0-4.2) | 2.6.9 |
| Red Hat Fedora Core 3 | 2.6.11, 2.6.12 |
| Red Hat Fedora Core 4 | 2.6.12, 2.6.13, 2.6.14 |
| SUSE Professional 9.3 | 2.6.11 |
| SUSE Professional 10.0 | 2.6.13 |
The optimized ipath_ether Ethernet driver provides high-performance networking support for existing TCP- and UDP-based applications (in addition to other protocols using Ethernet), with no modifications required to the application. The OpenIB (Open Fabrics) driver provides complete InfiniBand and OpenIB compatibility. This software stack is freely available as a download on their Web site. It currently supports IP over IB, verbs, MVAPICH and SDP (Sockets Direct Protocol).
PathScale offers a trial program—you can compile and run your application on its 32-node cluster to see what performance gains you can attain. See www.pathscale.com/cbc.php.
In addition, you can test your applications on the Emerald cluster at the AMD Developer Center, which offers 144 dual-socket, dual-core nodes, for a total of 576 2.2GHz Opteron CPUs connected with InfiniPath HTX adapters and a SilverStorm InfiniBand switch.
Tests performed on this cluster have shown excellent scalability at more than 500 processors, including the LS-Dyna three-vehicle collision results posted at www.topcrunch.org. See Table 2 for a listing of the top 40 results of the benchmark. Notice that the only other cluster in the top ten is the much more expensive per node Cray XD1 system.
Table 2. LS-Dyna Three-Vehicle Collision Results, Posted at www.topcrunch.org
| Result (lower is better) | Manufacturer | Cluster Name | Processors | Nodes x CPUs x Cores |
|---|---|---|---|---|
| 184 | Cray, Inc. | CRAY XDI/RapidArray | AMD dual-core Opteron 2.2GHZ | 64 x 2 x 2 = 256 |
| 226 | Cray, Inc. | CRAY XD1/RapidArray | AMD dual-core Opteron2.2GHz | 64 x 2 x 1 = 128 |
| 239 | Cray, Inc. | CRAY XD1/RapidArray | AMD dual-core Opteron 2.2GHz | 32 x 2 x 2 = 128 |
| 239 | Rackable Systems/AMD Emerald/PathScale | InfiniPath/SilverStorm InfiniBand switch | AMD dual-core Opteron 2.2GHz | 64 x 2 x 2 = 256 |
| 244 | Cray, Inc. | CRAY XD1/RapidArray | AMD Opteron 2.4GHz | 64 x 2 x 1 = 128 |
| 258 | Cray, Inc. | CRAY XD1/RapidArray | AMD dual-core Opteron 2.2GHz | 48 x 2 x 1 = 96 |
| 258 | Rackable Systems/AMD Emerald/PathScale | Infiniband/SilverStorm InfiniBand switch | AMD dual-core Opteron 2.2GHz | 64 x 1 x 2 = 128 |
| 268 | Cray, Inc. | CRAY XD1/RapidArray | AMD Opteron 2.4GHz | 48 x 2 x 1 = 96 |
| 268 | Rackable Systems/AMD Emerald/PathScale | InfiniPath/SilverStorm InfiniBand switch | AMD dual-core Opteron 2.2GHz | 32 x 2 x 2 = 128 |
| 280 | Cray, Inc. | CRAY XD1/RapidArray | AMD dual-core Opteron 2.2GHz | 24 x 2 x 2 = 96 |
| 294 | Rackable Systems/AMD Emerald/PathScale | InfiniPath/SilverStorm InfiniBand switch | AMD dual-core Opteron 2.2GHz | 48 x 1 x 2 = 96 |
| 310 | Galactic Computing (Shenzhen) Ltd. | GT4000/InfiniBand | Intel Xeon 3.6GHz | 64 x 2 x 1 = 128 |
| 315 | Cray, Inc. | CRAY XD1/RapidArray | AMD dual-core Opteron 2.2GHz | 32 x 2 x 1 = 64 |
| 327 | Cray, Inc. | CRAY XD1/RapidArray | AMD Opteron 2.4GHz | 32 x 2 x 1 = 64 |
| 342 | Cray, Inc. | CRAY XD1/RapidArray | AMD dual-core Opteron 2.2GHz | 16 x 2 x 2 = 64 |
| 373 | Rackable Systems/AMD Emerald/PathScale | InfiniPath/SilverStorm InfiniBand switch | AMD dual-core Opteron 2.2GHz | 32 x 1 x 2 = 64 |
| 380 | Cray, Inc. | CRAY XD1/RapidArray | AMD Opteron 2.2GHz | 32 x 2 x 1 = 64 |
| 384 | Cray, Inc. | CRAY XD1/RapidArray | AMD dual-core Opteron 2.2GHz | 24 x 2 x 1 = 48 |
| 394 | Rackable Systems/AMD Emerald/PathScale | InfiniPath/SilverStorm InfiniBand switch | AMD dual-core Opteron 2.2GHz | 16 x 2 x 2 = 64 |
| 399 | Cray, Inc. | CRAY XD1/RapidArray | AMD Opteron 2.4GHz | 24 x 2 x 1 = 48 |
| 405 | Cray, Inc. | CRAY XD1/RapidArray | AMD Opteron 2.2GHz | 32 x 2 x 1 = 64 |
| 417 | Cray, Inc. | CRAY XD1/RapidArray | AMD dual-core Opteron 2.2GHz | 12 x 2 x 2 = 48 |
| 418 | Galactic Computing (Shenzhen) Ltd. | GT4000/InfiniBand | Intel Xeon 3.6GHz | 32 x 2 x 1 = 64 |
| 421 | HP | Itanium 2 CP6000/InfiniBand TopSpin | Intel Itanium 2 1.5GHz | 32 x 2 x 1 = 64 |
| 429 | Cray, Inc. | CRAY XD1/RapidArray | AMD Opteron 2.2GHz | 32 x 2 x 1 = 64 |
| 452 | IBM | e326/Myrinet | AMD Opteron 2.4GHz | 32 x 2 x 1 = 64 |
| 455 | Cray, Inc. | CRAY XD1 RapidArray | AMD Opteron 2.2GHz | 24 x 2 x 1 = 48 |
| 456 | HP | Itanium 2 Cluster/InfiniBand | Intel Itanium 2 1.5GHz | 32 x 2 x 1 = 64 |
| 480 | PathScale, Inc. | Microway Navion/PathScale InfiniPath/SilverStorm IB switch | AMD Opteron 2.6GHz | 16 x 2 x 1 = 32 |
| 492 | Appro/Level 5 Networks | 1122Hi-81/Level 5 Networks - 1Gb Ethernet NIC | AMD dual-core Opteron 2.2GHz | 16 x 2 x 2 = 64 |
| 519 | HP | Itanium 2 CP6000/InfiniBand TopSpin | Intel Itanium 2 1.5GHz | 24 x 2 x 1 = 48 |
| 527 | Cray, Inc. | CRAY XD1/RapidArray | AMD dual-core Opteron 2.2GHz | 16 x 2 x 1 = 32 |
| 529 | HP | Opteron CP4000/TopSpin InfiniBand | AMD Opteron 2.6GHz | 16 x 2 x 1 = 32 |
| 541 | Cray, Inc. | CRAY XD1/RapidArray | AMD Opteron 2.4GHz | 16 x 2 x 1 = 32 |
| 569 | Cray, Inc. | CRAY XD1/RapidArray | AMD dual-core Opteron 2.2GHz | 8 x 2 x 2 = 32 |
| 570 | HP | Itanium 2 Cluster/InfiniBand | Intel Itanium 2 1.5GHz | 24 x 2 x 1 = 48 |
| 584 | Appro/Rackable/Verari | Rackable and Verari Opteron Cluster/InfiniCon InfiniBand | AMD Opteron 2GHz | 64 x 1 x 1 = 64 |
| 586 | IBM | e326/Myrinet | AMD Opteron 2.4GHz | 16 x 2 x 1 = 32 |
| 591 | Self-made (SKIF program)/United Institute of Informatics Problems | Minsk Opteron Cluster/InfiniBand | AMD Opteron 2.2GHz (248) | 35 x 1 x 1 = 35 |
Logan Harbaugh is a freelance reviewer and IT consultant located in Redding, California. He has been working in IT for 20 years and has written two books on networking, as well as articles for most of the major computer publications.
Today’s modular x86 servers are compute-centric, designed as a least common denominator to support a wide range of IT workloads. Those generic, virtualized IT workloads have much different resource optimization requirements than hyperscale and cloud applications. They have resulted in a “one size fits all” enterprise IT architecture that is not optimized for a specific set of IT workloads, and especially not emerging hyperscale workloads, such as web applications, big data, and object storage. In this report, you will learn how shifting the focus from traditional compute-centric IT architectures to an innovative disaggregated fabric-based architecture can optimize and scale your data center.
Sponsored by AMD
Built-in forensics, incident response, and security with Red Hat Enterprise Linux 6
Every security policy provides guidance and requirements for ensuring adequate protection of information and data, as well as high-level technical and administrative security requirements for a system in a given environment. Traditionally, providing security for a system focuses on the confidentiality of the information on it. However, protecting the data integrity and system and data availability is just as important. For example, when processing United States intelligence information, there are three attributes that require protection: confidentiality, integrity, and availability.
Learn more about catching the bad guy in this free white paper.
Sponsored by DLT Solutions
| Making Linux and Android Get Along (It's Not as Hard as It Sounds) | May 16, 2013 |
| Drupal Is a Framework: Why Everyone Needs to Understand This | May 15, 2013 |
| Home, My Backup Data Center | May 13, 2013 |
| Non-Linux FOSS: Seashore | May 10, 2013 |
| Trying to Tame the Tablet | May 08, 2013 |
| Dart: a New Web Programming Experience | May 07, 2013 |
- New Products
- Making Linux and Android Get Along (It's Not as Hard as It Sounds)
- A Topic for Discussion - Open Source Feature-Richness?
- Drupal Is a Framework: Why Everyone Needs to Understand This
- Home, My Backup Data Center
- What's the tweeting protocol?
- Readers' Choice Awards
- New Products
- RSS Feeds
- Linux on Azure—a Strange Place to Find a Penguin
- Reply to comment | Linux Journal
9 hours 46 min ago - Reply to comment | Linux Journal
12 hours 19 min ago - Reply to comment | Linux Journal
13 hours 36 min ago - great post
14 hours 11 min ago - Google Docs
14 hours 33 min ago - Reply to comment | Linux Journal
19 hours 22 min ago - Reply to comment | Linux Journal
20 hours 9 min ago - Web Hosting IQ
21 hours 42 min ago - Thanks for taking the time to
23 hours 19 min ago - Linux is good
1 day 1 hour ago
Enter to Win an Adafruit Prototyping Pi Plate Kit for Raspberry Pi

It's Raspberry Pi month at Linux Journal. Each week in May, Adafruit will be giving away a Pi-related prize to a lucky, randomly drawn LJ reader. Winners will be announced weekly.
Fill out the fields below to enter to win this week's prize-- a Prototyping Pi Plate Kit for Raspberry Pi.
Congratulations to our winners so far:
- 5-8-13, Pi Starter Pack: Jack Davis
- 5-15-13, Pi Model B 512MB RAM: Patrick Dunn
- Next winner announced on 5-21-13!
Free Webinar: Linux Backup and Recovery
Most companies incorporate backup procedures for critical data, which can be restored quickly if a loss occurs. However, fewer companies are prepared for catastrophic system failures, in which they lose all data, the entire operating system, applications, settings, patches and more, reducing their system(s) to “bare metal.” After all, before data can be restored to a system, there must be a system to restore it to.
In this one hour webinar, learn how to enhance your existing backup strategies for better disaster recovery preparedness using Storix System Backup Administrator (SBAdmin), a highly flexible bare-metal recovery solution for UNIX and Linux systems.




Comments
Topcrunch results are dated by 2 months...
Take a look at www.topcrunch.org today (8/4/2006). Intel has hit the Top 10 with only 32 dual-processor nodes. It will be interesting to see what Intel Xeon 5160 + Infinipath + PCI-Express + OpenIB will do to improve these results even further. Anyone up for this?
Topcrunch results
Yes, take a look at the results, as they were achieved with Intel Xeon 5160 + InfiniBand + OpenIB. Using Infinipath instead of InfiniBand will just eat the CPU resources.
TopCrunch Results
The prior comment is coming from someone who is obviously not familiar with InfiniPath as we have found that InfiniPath InfiniBand outperforms all other InfiniBand implementaions pretty much across the board - at least for MPI applications like LS-DYNA.