Optimizing code and algorithms is more effective and less expensive at boosting performance than upgrading hardware. It is not unusual for our Optimization Team to boost code performance by an order of magnitude after several days of review and updates.
Parallel Processing
Advances in computing power come with great regularity. Every year the number of CPU cores in server machines increases but most custom-built applications don't benefit from this because they are written to only use one. We will track down and identify every opportunity for parallel processing to ulock your application's full potential.
Making code run in parallel is a non-trivial task. Depending on each circumstance, routines must be rewritten, data structures must be compacted and appropriately indexed and critical sections handled to avoid deadlock. We'll help you supercharge your app.
In-Memory Structure Optimization
Working with data in memory is much faster than having to load it from disk but makes memory scarce as there is almost always less of it than your data demands. Being able to store more data in memory and doing so efficiently can be a key performance driver.
We know when to use an array instead of a list or dictionary, when a hash table needs a custom memory allocator and when less data pre-loaded yields superior results. We will identify bottlenecks using a combination of profiling and critical code review and suggest the best way to remove them.
Caching
Our optimization experts understand how to structure code and issue compiler instructions to maximize the use of CPU Cache and cut processing time. It is assumed that caching is handled by the hard drive or the CPU but these methods are generic and can be improved upon tremendously with the right approach. Through our teams advanced techniques such as data structure tuning, NUMA and processor affinity you will see a tremendous improvement in your caching performance.
File I/O
Dealing with large amounts of data? Let our team optimize your file structures and see how much faster you go. Optimal file access methods, solution-specific in-memory structures and tailored file layout and indexing techniques can be combined to yield the best solution.