Nvidia’s Cuda graphics processors have been used to speed up a Java-based sorting program by up to 48 times.
In the past Nvidia’s Cuda GPU, which powers high-end graphics cards, has been used as the processing power behind low-cost supercomputing. Cambridge University is using the Nvidia GPUs as the basis for a supercomputer to support molecular research.
By submitting your personal information, you agree that TechTarget and its partners may contact you regarding relevant content, products and special offers.
Nvidia has developed a Cuda programming library to enable developers to harness the power of the GPU to boost the execution speed of certain types of intensely computational applications.
In a demonstration this week, IBM showed how Java applications could be accelerated using the Cuda programming library.
IBM’s chief technology officer of Java, John Duimovich, demonstrated the Nvidia-powered Java accelerators during his keynote at the JavaOne conference in San Francisco.
Duimovich showed an example of using GPU acceleration to speed up a Java-based sorting program developed using the Nvidia Cuda libraries.
According to Duimovich, IBM will develop server-based GPU accelerators and research how to deploy acceleration for ordinary Java workloads using existing programming interfaces instead of the specialised Nvidia Cuda libraries.
If IBM is able to develop Java libraries that are able to harness the power of the Nvidia Cuda GPU, Java developers could potentially dramatically improve the performance of their applications.
In a blog post, Sumit Gupta, general manager at Nvidia’s Tesla Accelerated Computing business unit, wrote: “The acceleration will fuel a new generation of Java-based enterprise applications that wouldn’t have been possible without GPUs. The use cases for GPU-accelerated Java applications are near endless: from high-performance distributed fraud detection and financial analysis, to high-throughput video and image analytics and modern scientific applications.”