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Application Performance
Quad-Core Intel® Xeon® Processor 7300 Series
Quad-Core Intel Xeon processor 7300 series based platforms deliver breakthrough performance and energy efficiency, making them the best choice for virtualization and business critical applications, enabling IT to become more efficient and responsive.
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Financial application performance on Black-Scholes
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Description for Black-Scholes
The Black-Scholes* kernel workload is based on a financial modeling algorithm for the pricing of European-style options. After its publication in 1973 by Fisher Black, Myron Scholes, and Robert Merton, its impact was enormous and rapid. The benchmark consists of a kernel that implements a derivative of the Black and Scholes technique. SunGard developed the code, which uses a continuous-fraction technique that is more accurate than the traditional polynomial approximation technique. The test produces the time, in seconds, the server took to complete the workload; lower completion times are better.
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XML transaction processing performance on IBM DB2* database
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Description for IBM DB2 and TPoX* benchmark
IBM DB2 9.5 for Linux*, UNIX* and Microsoft Windows* extends and improves the industry leading capabilities introduced in IBM DB2 9. It builds on the flexibility and power of pure XML by simplifying both development and the administration of XML in IBM DB2. IBM DB2 9.5 now integrates workload management functionality into the database engine. This new technology allows DBAs to have full control over how and which workloads run in their databases, and to manage them based on the needs of their business.
Transaction Processing over XML (TPoX) is an application-level XML database benchmark based on a financial application scenario. It is used to evaluate the performance of XML database systems, focusing on XQuery, SQL/XML, XML storage, XML indexing, XML Schema support, XML updates, logging, concurrency and other database aspects. TPoX simulates a security trading scenario and uses a real-world XML Schema (FIXML) to model some of its data.
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Finite element analysis using Intes PERMAS* V11
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Description of Intes* PERMAS* benchmark
The benchmark result shown here is a geometric mean of the performance result of a number of real-world applications. These applications represent challenging computations at the limit of today's system performance. The models used are taken from major car manufacturers and other companies with challenging structural problems. The performance metric is execution time in seconds.
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Business analysis with QlikView application
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Description for QlikView application
The QlikView HWE-test application is an analysis of sales and channel data. The application is used by QlikTech to perform hardware platform tests in order to see how the QlikView in-memory technology scales in terms of data volume and number of concurrent users. The application is loaded with 100 million unaggregated records of sales data where the transaction table holds 9 fields. Linked to the transaction table are 7 mapping tables, and all in all the application holds 39 fields. During the test sequence 4 multidimensional analytic graphs are calculated, each with 1-3 metric expressions. For each graph and metric, QlikView makes a real-time calculation across 98,114,201 records held in memory. The result is measured in CPU time across all available cores and real time which is the actual time it takes for the system to perform the test.
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Advanced medical information system performance using B-Soft*
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Description for B-Soft HIS benchmark
B-Soft Hospital Information System is an advanced medical information system designed to manage the administrative, financial and clinical aspects of a hospital. While designed to be used by doctors, nurses, and hospital administrators, its aim is to achieve the best possible support of patient care and administration by electronic data processing. The test simulates 5 hospital operations. Performance metric is the maximum number of concurrent users the system can support within an acceptable response time limit.
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OpenSSL-based secure gateway server performance with Hundsun Access Server*
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Description for Hundsun benchmark
Hundsun Access Server is a OpenSSL based secure gateway server. The workload simulates the number of concurrent users submitting simultaneous requests requiring encryption and authentication via OpenSSL secure gateway. Performance metric is the number of concurrent requests the system can sustain while staying under certain prescribed response time limits and keeping the CPU utilization at a fixed level.
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Neusoft* medical insurance management information system performance
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Description for Neusoft MIS benchmark
Neusoft medical insurance management information system (MIS) implements security management for medical insurance carried by government organizations. By monitoring the use of medical funds, it ensures security in government social medical insurance systems. HP LoadRunner* stressing tool with a Neusoft workload simulates 6 client operations including Residents Plan login/submit, Medical Credit Card login/read/quancun, and data transfer. In the test, Intel used 4 PCs to drive the application server of medical insurance MIS. Performance metric is response time, the shorter the better.
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Hospital information system performance using TianJian*
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Description for TianJian benchmark
TianJian is the leading software vendor for the healthcare industry in PRC, while TianJian HIS* is one of the main software products developed by this independent software vendor which provides integrated information management for hospitals. It aims to provide efficient and effective solutions to clinic, inpatient, billing and decision-supportive services to local hospitals. The stressing tool is HP LoadRunner, and the workload is developed by TianJian to simulate a typical concurrent scenario including 7 operations related to clinic, inpatient wards and billing during "rush-hour" in a large-scale hospital. The test used 2 servers to drive the database side of TianJian HIS, and the performance metrics were weighted average responsive time of those operations, the shorter the better.
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Enterprise resource planning performance using UFIDA*
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Description for UFIDA*
As a relative independent component of UFIDA ERP-U8, a comprehensive Enterprise Resource Planning software to SME, U8-DRP is a 3-tiered application aimed to satisfy the requirements from commodity distribution and retail business. The major functions it provides include purchase/sale order processing, simple inventory management, etc. The stressing tool is LoadRunner, and the workload script is developed by UFIDA to simulate a typical and real world use scenario. Performance is measured by the number of concurrent users supported by the server within prescribed response time limits. Higher is better.
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TongLink/Q* application performance
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Description for TongTech benchmark
This system which adopts Message Middleware (TongLINK/Q) developed by TongTech, will collect and process information about transportation monitoring, charging, and communicating on the highway, using the high-advanced comprehensive management system built on technologies such as modern transportation controlling, information management theory, advanced computer network, information transmission, and image processing. TongLINK/Q is the message queuing module that is part of TongTech middleware solution. It is responsible for creating and maintaining communication channels among diverse systems in the network. Performance metric is messages processed per second.
Performance tests and ratings are measured using specific computer systems and/or components and reflect the approximate performance of Intel® products as measured by those tests. Any difference in system hardware or software design or configuration may affect actual performance. Buyers should consult other sources of information to evaluate the performance of systems or components they are considering purchasing. For more information on performance tests and on the performance of Intel products, visit Intel Performance Benchmark Limitations.
Relative performance for each benchmark is calculated by taking the actual benchmark result for the first platform tested and assigning it a value of 1.0 as a baseline. Relative performance for the remaining platforms tested was calculated by dividing the actual benchmark result for the baseline platform into each of the specific benchmark results of each of the other platforms and assigning them a relative performance number that correlates with the performance improvements reported.
64-bit Intel® Xeon® processors with Intel® EM64T require a computer system with a processor, chipset, BIOS, OS, device drivers and applications enabled for Intel EM64T. Processor will not operate (including 32-bit operation) without an Intel EM64T-enabled BIOS. Performance will vary depending on your hardware and software configurations. Intel EM64T-enabled OS, BIOS, device drivers and applications may not be available. Check with your vendor for more information.
Intel® processor numbers are not a measure of performance. Processor numbers differentiate features within each processor family, not across different processor families. See www.intel.com/products/processor_number/ for details.
Intel products are not intended for use in medical, life saving, life sustaining, critical control or safety systems, or in nuclear facility applications. All dates and products specified are for planning purposes only and are subject to change without notice.
Intel does not control or audit the design or implementation of third party benchmarks or Web sites referenced in this document. Intel encourages all of its customers to visit the referenced Web sites or others where similar performance benchmarks are reported and confirm whether the referenced benchmarks are accurate and reflect performance of systems available for purchase.