Skip to main contentSkip to site searchApps with 'Parallel Computing' feature
Julia is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments. ImageHost Grabber (IHG) is a powerful utility that makes the task of downloading these galleries a simple task.
Use the Mac creative tools you know & love, like Photoshop, with the touch experience of your iPad and the precision of Apple Pencil. Apache Spark™ is a fast and general engine for large-scale data processing.SpeedRun programs up to 100x faster than Hadoop MapReduce in memory, or 10x faster on disk. GridRepublic is a customized version of the BOINC software designed to simplify installation and participation by the average computer user. CAD.FEM will assist you in designing and analyzing 3D models of structural elements or any other 3D models easily and accurately, and quickly. This project was created in order to support a new internet. One that is more open, free, and censorship-resistant in comparison to the old internet. A development toolsuite for high performance software - it helps solve bugs and speed up applications that use multiple threads or processes. Intel Parallel Studio XE tool suite simplifies the design, development, debug, and tuning of code that utilizes parallel processing to boost application performance. Profiles software to show performance bottlenecks and enable developers to speed up their code. Gearman provides a generic application framework to farm out work to other machines or processes that are better suited to do the work. HPCC Systems offers an open source cluster computing platform used to solve Big Data problems. dispy is a Python framework for parallel execution of computations by distributing them across multiple processors on a single machine (SMP), among many machines in a cluster or... A peer to peer GPU computing platform for for HPC applications such as Machine learning and 3D design at upto 10X less cost. Get a GPU at the cost of a CPU. .
