December 09, 2005
Sun Microsystems claims that it has achieved a record-breaking data warehousing performance TPC-H SF10000 benchmark result with the Sun Fire E25K UltraSPARC IV+ system and the Oracle Database 10g Release 2, outperforming recent benchmark results from HP and IBM. Sun also claimed a record-breaking performance SPECjbb2005 benchmark result with the Sun Fire E6900 UltraSPARC IV+ system which eclipsed newly announced SPECjbb2005 result from IBM based on a comparably priced Power5 system. Sun achieved a SPECjbb2005 result of 248,075 business operations per second (bops), which beats the performance of the POWER5 IBM eServer p5 570 16-way SPECjbb2005 result of 244,361 bops.
The Sun Fire E25K system's record surpassed a HP Integrity Superdome cluster by 25 percent, and an IBM POWER5-based cluster by over 4 percent on the TPC-H 10 terabyte benchmark. The 72-way 1.5 Ghz UltraSPARC IV+ processor-based Sun Fire E25K system with 108 Sun StorEdge SE3510 arrays running the industry-leading Solaris 10 Operating System (OS) and Oracle Database 10g Release 2 resulted in 108,099.7 QphH@10000GB, at a price-performance ratio of $53.80/QphH@10000GB (OK - mbp), with the TPC-H SF10000 benchmark.
With Solaris 10, Sun's multi-platform, open source OS, and new Sun Studio 11 software compilers, the E25K is optimized for performance and throughput maximization. The system was able to deliver 20 GB/sec of I/O bandwidth.
The Transaction Processing Performance Council's (TPC) TPC-H benchmark measures systems' capability to examine large volumes of data, execute queries with a high degree of complexity, and give answers to critical business questions. TPC-H evaluates a composite performance metric (QphH@size) and a price/performance metric ($/QphH@size) that measure the performance of various decision support systems by the execution of sets of queries against a standard database under controlled conditions.
SPECjbb2005 (Java Business Benchmark) measures the performance of a Java implemented application tier (server-side Java) based on the order processing in a wholesale supplier application. It also measures the performance of CPUs, caches, memory hierarchy and the scalability of shared memory processors (SMPs). The metrics given are number of bops (business operations per second) and bops/Java Virtual Machine.
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).
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The Xeon Phi coprocessor might be the new kid on the high performance block, but out of all first-rate kickers of the Intel tires, the Texas Advanced Computing Center (TACC) got the first real jab with its new top ten Stampede system.We talk with the center's Karl Schultz about the challenges of programming for Phi--but more specifically, the optimization...
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Although Horst Simon was named Deputy Director of Lawrence Berkeley National Laboratory, he maintains his strong ties to the scientific computing community as an editor of the TOP500 list and as an invited speaker at conferences.
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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.
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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.
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May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
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May 09, 2013 |
The Japanese government has revealed its plans to best its previous K Computer efforts with what they hope will be the first exascale system...
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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.
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.
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.
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.