Are your applications running as efficiently as possible? Can your applications take advantage of all the performance features of today’s computer hardware? For those applications developed more than a few years ago the answer is certainly “no”. Even if your applications were developed not too long ago, you may not have achieved an optimal implementation if scalability and performance were not driving your software architecture design.

To take full advantage of hardware features such as multi-processors, GPU, and even memory cache, one needs to fully analyze the application behavior in terms of memory, I/O, and CPU usage. Find out where the most time is spent and determine the best approach to remove inefficiencies.

Depending on the outcome of the analysis your software performance enhancement many require one or more of the following:

• Parallel algorithm development
• Porting to GPU
• Cache efficient algorithm development
• Development of an efficient I/O subsystem

At Nextware, we have expertise in designing and implementing Shared Memory Parallel (SMP) and Distributed Memory Parallel (DMP) algorithms. We can also identify components of your applications that can be effectively ported to GPUs and develop optimal GPU algorithms. We can also tune your application in order to take the most advantage of your machine’s memory hierarchy and I/O system.

These techniques have been used in development of engineering and scientific software applications for years and are now gaining popularity in other types of applications. So no matter what type of application you have, if it does not meet your performance and scalability requirements, our software performance experts can help.

We are located in Los Angeles, California. If you are in the LA area we will be glad to meet with you in person to discuss your application’s performance requirements. Or drop us a line and we will contact you shortly.