When it comes to mainstream adoption of the use of GPUs and other accelerators, one of the primary barriers lies in programmability. While the vendor communities around accelerators have pushed to flatten the learning curve, the fact remains that it takes special effort on the part of ordinary developers to undertake the educational process. In this in-depth audio feature, we talk to Rice University researcher, Max Grossman about how Java…
Java could get a boost as a language for HPC programming as a result of work that the HSA Foundation is doing to make it easier for Java developers to program for a variety of processor types, including GPUs, without requiring expertise in traditional parallel programming tools.
Yet another software toolmaker has offered up its solution to the parallel programming crisis. This week, French software vendor Ateji released a Java solution for multicore CPUs and multiprocessor server environments. Ateji PX for Java is aimed at developers who want to take advantage of current and future computer architectures by moving their legacy codes into the parallel realm.
Network-attached memory is analogous to network-attached storage (NAS) in that it provides a service to thousands of connected clients transparently. As NAS is transparent underneath the file system, network-attached memory is transparent underneath the Java language. But in Terracotta’s network-attached memory pool, everything can be massively scaled out.
Oracle’s newest candidate to solve some of IT Nation’s biggest problems has now officially hit the campaign trail, and its name is WebLogic Application Grid. This new assemblage of software is meant to put grid capabilities at the foundation of an organization’s computing operations by pooling IT resources and allocating them to workloads as needed. But this is one solution Oracle is not labeling “cloud computing.”