The best benchmark for a piece of graphics hardware is your own actual application, not some marketing benchmark number claimed by some hardware vendor hyping their own hardware.
If you have a busy PostgreSQL or MySQL database application, you might want to analyze the queries to see if they can be improved. Here's a little utility to help with that.
<p>Se você enfrenta problemas de lentidão, baixa performance ou pouco desempenho do seu servidor moodle, então você deve ler esse artigo técnico. Descrevo algumas alterações que melhoram a experiência do aluno através de um site mais rápido.</p>
Varnish is a state-of-the-art, high-performance HTTP accelerator. It uses the advanced features in Linux 2.6, FreeBSD 6/7 and Solaris 10 to achieve its high performance.
Cython is a language that makes writing C extensions for the Python language as easy as Python itself. Cython is based on the well-known Pyrex, but supports more cutting edge functionality and optimizations.
Pagination is used very frequently in many websites, be it search results or most popular posts they are seen everywhere. But the way how it is typically implemented is naive and prone to performance degradation. In this article I attempt on explaining the performance implications of poorly designed pagination implementation. I have also analyzed how Google, Yahoo and Facebook handle pagination implementation. Then finally i present my suggestion which will greatly improve the performance related to pagination.
scale user images
AND use the picture field to flag, if the user gets standart image instead of his own. is set in settings. initial by hand.
reduce standart pictures constrasts
James Hamilton has published a thorough summary of Facebook's Cassandra, another scalable key-value store for your perusal. It's open source and is described as a "BigTable data model running on a Dynamo-like infrastructure." Cassandra is used in Facebook as an email search system containing 25TB and over 100m mailboxes. # Google Code for Cassandra - A Structured Storage System on a P2P Network # SIGMOD 2008 Presentation. # Video Presentation at Facebook # Facebook Engineering Blog for Cassandra # Anti-RDBMS: A list of distributed key-value stores # Facebook Cassandra Architecture and Design by James Hamilton
Google Maps, Yahoo! Mail, Facebook, MySpace, YouTube, and Amazon are examples of Web sites built to scale. They access petabytes of data sending terabits per second to millions of users worldwide. The magnitude is awe-inspiring. Users view these large-scale Web sites from a narrower perspective. The typical user has megabytes of data that are downloaded at a few hundred kilobits per second. Users are not so interested in the massive number of requests per second being served; they care more about their individual requests. As they use these Web applications, they inevitably ask the same question: "Why is this site so slow?" The answer hinges on where development teams focus their performance improvements. Performance for the sake of scalability is rightly focused on the back end. Database tuning, replicating architectures, customized data caching, and so on allow Web servers to handle a greater number of requests.
Whole-program optimization is a compilation technique in which optimizations operate over the entire program. This allows the compiler many optimization opportunities that are not available when analyzing modules separately (as with separate compilation). Most of MLton's optimizations are whole-program optimizations. Because MLton compiles the whole program at once, it can perform optimization across module boundaries. As a consequence, MLton often reduces or eliminates the run-time penalty that arises with separate compilation of SML features such as functors, modules, polymorphism, and higher-order functions. MLton takes advantage of having the entire program to perform transformations such as: defunctorization, monomorphisation, higher-order control-flow analysis, inlining, unboxing, argument flattening, redundant-argument removal, constant folding, and representation selection. Whole-program compilation is an integral part of the design of MLton and is not likely to change.
New Relic is the only dashboard you need to keep an eye on application health and availability while monitoring real user experience. Complete visibility anytime you want it.
rformance can be better if changes to the database are batched: turn off autocommit; add multiple SQL statements using the Statement.addBatch() method; execute Statement.executeBatch().
The Java Application Monitor (JAMon) is a free, simple, high performance, thread safe, Java API that allows developers to easily monitor production applications. * JAMon can be used to determine application performance bottlenecks, user/application intera
Beyond resisting the destruction & degeneration of the brain there looms also the possibility of regeneration & perhaps even augmentation. The "Smart Drug Movement" implies that this is possible -- and possible now. Here I review the subject of "Smart Dru