BIG DATA
Applications Run 2.2X Faster with Only 13% More Power
- Upgrading the Xeon 5100 processor series to a the Xeon 5300 processor series doubled the number of cores and improved the run time by 85% with an increase of 36% more power consumption at the plug
- Upgrading the Xeon 5300 processor series to the Xeon 5400 processor series improved the run time by another 40% and reduced the power consumption by 23% when compared to the Xeon processor 5100 series.
In short, the Xeon processor 5400 series upgrade from the Xeon processor 5100 series represents a 220% run time improvement with 13% more power consumption. These benchmarks used the Intel C++ compiler running a 64-bit version of AMBook on Redhat Linux. To see more details, visit www.aspeed.com. ACCELLERANT uniquely virtualizes applications to exploit multiple cores, CPUs and distributed systems such as those running in a cluster or on a grid without any tuning to ensure predictable and scalable capacity. ASPEED, whose primary focus is in Capital Markets, uses an AMBook (American Options Portfolio of options pricing) application as representative of a typical Wall Street run to price a portfolio of options using Monte Carlo-based analysis. The focus is on the impact of new platforms on representative applications in addition to shear performance potential. The benchmarks include varying the number of options and altering latency in the runs to characterize computational bound to I/O bound characteristics. Powering the Most Powerful The Quad-Core Intel Xeon processor 5400 series is the latest in a series of ACCELLERANT deployments using multi-core, multi-processors, clusters and grids, each demonstrating the performance benefits, scalability and configuration optimization. ASPEED offers an ACCELLERANT SDK that supports C, C++, C#, Java, VB.net, EXCEL, VBA, MS Access and FORTRAN. ACCELLERANT is regularly deployed by leading organizations within the capital markets and energy verticals to optimize application performance and speed analysis to exploit multi-core, cluster, grid and other high-performance computing environments.