December 13, 2004
Intel Corp announced that Oracle Corp developed and optimized its latest database, Oracle Database 10g Release 2, on Intel's latest Intel Xeon processor with Intel Extended Memory 64 Technology using Intel software development tools.
Oracle used the Intel C++ and Fortran Compilers 8.1 for Windows and Linux, and Intel VTune Performance Analyzer for Windows and Linux to develop and optimize Oracle Database 10g Release 2. Oracle also plans to use Intel software tools to develop and optimize the performance of future database products running on Intel platforms, including Intel Xeon with Intel Extended Memory 64 Technology, and Intel Itanium 2 processor-based systems.
"The performance enhancements and cross-architecture support we experienced resulted in Oracle's decision to invest in Intel software tools and promote them across our global developer base," said Prem Kumar, vice president pf the Server Technologies Division at Oracle Corp. "Intel's investment in a broad suite of developer tools allows us to continue to optimize Oracle 10g products for Intel processor-based platforms that our customers purchase."
"Oracle's database built using Intel software development tools offers customers outstanding performance, scalability and reliability for the most demanding enterprise solutions on Intel platforms," said Jonathan Khazam, general manager of Intel Software Development Products. "Intel is pleased to be Oracle's development tools provider helping to extend its strong position on Intel-based server platforms."
A compiler translates a high-level programming language, such as C++ or FORTRAN, into machine language the processor can understand. The Intel VTune Performance Analyzer looks at existing applications and suggests ways to further enhance application performance. Using an efficient compiler and powerful performance analyzer is important for helping software run at top speeds.
Frank Ding, engineering analysis & technical computing manager at Simpson Strong-Tie, discussed the advantages of utilizing the cloud for occasional scientific computing, identified the obstacles to doing so, and proposed workarounds to some of those obstacles.
The private industry least likely to adopt public cloud services for data storage are financial institutions. Holding the most sensitive and heavily-regulated of data types, personal financial information, banks and similar institutions are mostly moving towards private cloud services – and doing so at great cost.
In this week's hand-picked assortment, researchers explore the path to more energy-efficient cloud datacenters, investigate new frameworks and runtime environments that are compatible with Windows Azure, and design a uniﬁed programming model for diverse data-intensive cloud computing paradigms.
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.
May 10, 2013 |
Australian visual effects company, Animal Logic, is considering a move to the public cloud.
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
May 08, 2013 |
For engineers looking to leverage high-performance computing, the accessibility of a cloud-based approach is a powerful draw, but there are costs that may not be readily apparent.
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.
04/02/2012 | AMD | Developers today are just beginning to explore the potential of heterogeneous computing, but the potential for this new paradigm is huge. This brief article reviews how the technology might impact a range of application development areas, including client experiences and cloud-based data management. As platforms like OpenCL continue to evolve, the benefits of heterogeneous computing will become even more accessible. Use this quick article to jump-start your own thinking on heterogeneous computing.