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We're launching a brand new blog post series on parallel programming for accelerators (GPUs and beyond). The series begins with posts on high-performance CUDA GPU programming. Start with the post below:
Abstract: Regardless of the environment or architecture you are using, one thing is certain: you must properly manage the threads running in your application to optimize performance. This post will discuss how to get the most out of your threads in a CUDA application.
Microway is working with NVIDIA to speed up defense and geo intelligence applications with GeoInt Accelerator products. This community heavily relies on accurate and timely information in its strategic and day-to-day operations. Intelligence gathering and assessment are essential to these applications that analyze data coming from a number of diverse sources including satellites, UAVs, surveillance cameras, drones, sensors and radar.
Converting the raw data from these sources into actionable information requires a significant infrastructure. The NVIDIA GeoInt Accelerator is the first accelerated platform that enables defense and homeland security analysts to accurately generate actionable intelligence from petabytes of data, images and video. Powered by GPUs, Image and Video Processing can run up to 10x-75x faster compared to CPU only systems.
The production release of CUDA 5.5 is now available from NVIDIA. Features of note include:
Optimized For MPI Applications
Guided Performance Analysis
Support For ARM Platforms
As Apache Hadoop moves from version 1 to version 2, the structure is changing: no longer will MapReduce be the sole data processing framework. Other frameworks, such as MPI, will plug-in to Hadoop, allowing them to take advantage of the powerful capabilities of Hadoop, such as the HDFS distributed filesystem. The module which makes this possible is named YARN (Yet Another Resource Negotiator).
The introduction of YARN does not make traditional HPC obsolete; nor is MapReduce going away. Instead, this development gives more flexibility to groups with "Big Data" requirements. Data can be accessed and analyzed using their existing MapReduce workflows. Further, applications which had no access to the data managed by Hadoop can run as well.
Eliot Eshelman at 508-732-5534
Brett Newman at 508-732-5542
Ted Fitts at 508-732-5516
GSA Schedule GS-35F-0431N