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Latest News

ASPEED Strikes First: Optimizes Quad-Core Performance
Posted by ASPEED Software, Tuesday November 14 2006 @ 01:47PM EST

In a move raising the bar for the latest innovation in faster computing, ASPEED Software successfully demonstrated significant performance enhancements for one of Intel’s newest multi-core processing chips. In benchmarking tests, its application-additive technology, ACCELLERANT reduced response times by more than 8X and increased overall capacity, without changing the application’s underlying logic.

These benchmarks coincide with Intel’s release of its new quad-core microprocessors, which offer far superior economies, computing horsepower and energy efficiency over single core microprocessors. To demonstrate ease of adoption and high scalability, ASPEED conducted several comprehensive runs of a 1,000 option and 10,000 option AMBook application – a commonality among Wall Street financial organizations – on the new quad-core Intel® Xeon® 5300 processor series, previously code named Clovertown.

When integrating ACCELLERANT, each AMBook application received consistent performance upgrades, over single-thread applications running in comparable multi-core environments:

• A 96 percent runtime reduction in a 1,000 option AMBook run, using a GCC compiler, compared with a similar run on the Irwindale Dual Processor • These results are seamlessly scalable. For example, using a 10,000 option AMBook under the same premises, results showed a 97 percent run time reduction • 82 percent elapsed time reduction, using a GCC compiler, over a single-thread application running on the same GCC compiler. Running the benchmark using the Intel Compiler provided an additional 17 percent elapsed reduction over the GCC run, an overall 95 percent improvement over expected quad-core processing levels

“Quad-core processing takes computing performance, power and innovation to new heights – as clearly demonstrated when application run times were reduced from four hours on the processor code named Irwindale to just six minutes on the quad-core Intel® Xeon® 5300 processor using ACCELLERANT,” said Kurt Ziegler, executive vice president for ASPEED Software. “We’re happy to help open the floodgates to quad-core adoption, giving organizations a clear path to achieving a new level of speed and analysis.

Going the Extra Mile – While Retaining Full Benefit Capabilities Quad-core processing offers the capacity for more fine-grained analysis and heavyweight processes, at lower operating costs. Expanded bandwidth opens the floodgates for more algorithmic-intense applications to leverage these processing environments on supercomputers, servers, desktops and laptops, constructing deeper levels of computations and decision-making.

To optimally leverage the full speed and performance benefits of these environments, most organizations parallelize single-thread applications, embracing new programming techniques such as multi-processing compliers to use each core simultaneously. To complement this approach and potentially speed the benefits of the quad-core processor platforms, ACCELLERANT offers the only solution to optimally exploit multi-core environments without undergoing intensive application re-writes, ensuring full underlying algorithmic integrity and performance.

"With great performance and energy efficiency we’re excited by the capability our new Quad-Core Intel® Xeon® processor 5300 series and Intel® Core™ 2 Extreme quad-core processor brings to financial, pharmaceutical, energy and other compute intensive applications," said Elliot Garbus, general manager of Intel’s Developer Relations Division. "The quad-core platforms provide the performance to create new high-end business applications, opening the door for faster, more informed decision-making. Intel is working closely with vendors like ASPEED to maximize performance on Intel architectures."

The Latest in Long Line of HPC Milestones The quad-core benchmark runs follow similar ACCELLERANT deployments within the most innovative high performance computing environments, opening the doors for organizations to optimally exploit multi-core, grid, cluster and other massively parallel distributed computing environments.

In ASPEED’s prior benchmark, ACCELLERANT produced a 96 percent AMBook runtime reduction and 6-fold performance improvement when running on Intel’s Dual-Core Intel® Xeon® 5100 series, previously code named Woodcrest


< Appro Delivers the Largest Linux Cluster to LLNL Based on AMD Opteron | Panasas Wins HPCwire 2006 >

 


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Golden Eggs
(HP Visual Diagram and Config Guides)
Clusters:
CP4000 32x DL145G2 GigE Opteron, Dual Core
CP4000 64x DL145 GigE Opteron
CP4000 102x DL145 GigE Opteron
CP4000 32x DL145 Myri Opteron
Rocks Cluster 16-22 DL145 Opteron
Rocks Cluster 30-46 DL145 Opteron
Rocks Cluster 64-84 DL145 Opteron
LC3000 GigaE 24-36 DL145 Opteron
LC3000 Myri 16-32x DL145 Opteron
LC3000 GigaE 16-22x DL145 Opteron
LC2000 GigaE 16-22x DL360G3 Xeon
ProLiant:
> DL365 System 2600Mhz 2P 1U Opteron Dual Core
DL360 G5 System 3000Mhz 2P 1U EM64T Dual/Quad Core
DL385 G2 2600Mhz 2P Opteron Dual Core
DL380 G5 3000Mhz 2P EM64T Dual/Quad Core
DL140 3060MHz 2P IA32
DL140 G2 3600MHz 2P EM64T
DL145 2600MHz 2P Opteron
DL145 G2 2600MHz 2P Opteron Dual Core
DL360 G4 3400MHz 2P EM64T
DL360 G4p 3800MHz 2P EM64T
DL380 G4 3800MHz 2P EM64T
DL385 2800MHz 2P Opteron Dual Core
DL560 3000MHz 4P IA32
DL580 G3 3330MHz 4P EM64T
DL585 2800MHz 4P Opteron Dual Core
Integrity:
Montecito 2P-16P, rx2660-rx8640 (multi-system diagram)
rx2660 1600MHz 2P 2U Montecito Systems and Cluster
rx6600 1600MHz 4P 7U Single & Cluster
rx3600 1600MHz 2P 4U Single & Cluster
rx2620 1600MHz 2P 2U Single & Cluster
Superdome 64P base configuration
Integrity Family Portrait (rx1620 thru rx8620), IA64
rx1620 1600MHz 2P MSA1000 Cluster IA64
rx2620 1600MHz 2P MSA1000 Cluster IA64
rx4640 1600MHz 4P MSA1000 Cluster IA64
rx7620 1600MHz 8P 10U Systems and MSA1000 Cluster
rx8620 1600MHz 16P 17U Systems and MSA1000 Cluster
Storage:
MSA30-MI Dual SCSI Cluster, rx3600, rx6600 and rx2660
MSA30-MI Dual SCSI Cluster, rx1620...rx4640
MSA500 G2, SCSI
MSA1510i IP SAN 48TB, SCSI and SATA
MSA1500 48TB, SCSI and SATA
Misc:
Dual Core AMD64 and EM64T systems with MSA1500






Appro: Enterprise and High Performance Computing Whitepapers
Is Your HPC Cluster Ready for Multi-core Processors?:
Multi-core processors bring new challenges and opportunities for the HPC cluster. Get a first look at utilizing these processors and strategies for better performance.

Accelerating Results through Innovation:
Achieve maximum compute power and efficiency with Appro Cluster Solutions. Our highly scalable clusters are designed to seamlessly integrate with existing high performance, scientific, technical, and commercial computing environments.
Keeping Your Cool in the Data Center:
Rethinking IT architecture and infrastructure is not a simple job. This whitepaper helps IT managers overcome challenges with thermal, power, and system management.

Unlocking the Value of IT with Appro HyperBlade:
A fully integrated cluster combining advantages of blade and rack-mount servers for a flexible, modular, scalable architecture designed for Enterprise and HPC applications.
AMD Opteron-based products | Intel Xeon-based products


Hewlett-Packard: Linux High Performance Computing Whitepapers
Unified Cluster Portfolio:
A comprehensive, modular package of tested and pre-configured hardware, software and services for scalable computation, data management and visualization.

Your Fast Track to Cluster Deployment:
Designed to enable faster ordering and configuration, shorter delivery times and increased savings. Customers can select from a menu of popular cluster components, which are then factory assembled into pre-defined configurations with optional software installation.
Message Passing Interface library (HP-MPI):
A high performance and production quality implementation of the Message-Passing Interface (MPI) standard for HP servers and workstations.

Cluster Platform Express:
Cluster Platform Express comes straight to you, factory assembled and available with pre-installed software for cluster management, and ready for deployment.
AMD Opteron-based ProLiant nodes | Intel Xeon-based ProLiant nodes



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