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Ultrascale Visualization Climate Data Analysis Tools (UV-CDAT), is a powerful and complete front-end to a rich set of visual-data exploration and analysis capabilities well suited for climate-data analysis problems.

Larch is a scientific data processing language that is designed to be easy to use for novices and complete enough for advanced data processing and analysis. Larch provides a wide range of functionality for dealing with arrays of scientific data, and basic tools to make it easy to use and organize complex data. Larch has been primarily developed for dealing with x-ray spectroscopic and scattering data, especially the kind of data collected at modern synchrotrons and x-ray sources. Larch is written in Python and relies heavily on the standard tools for scientific computing with Python (numpy, scipy, matplotlib, and h5py).

...Final alpha release features: ======== * Usb image * General debian repos * VM optimizations * Hugepages by default * CGROUPs optimized by default * ALSA * Latest Debugging / Baremetal kernels * Full Haswell and MIC support in test * Full optimized python support * Full optimized perl support * Java compliance * IPv6 full stack with IPsets * Multipath storage * Overclocking tools * Student/Developer scripts. (git pull, builders) * i915 latest support drivers and gallium. * Kernel patching, testing featurettes * Wi-Fi and bluetooth ipv4 support * Latest GCC versions * Qt, Java, Maven, Desktop improvements Notes ==== Basic Console Pre-alpha build Test and rate for improvemen

Cca-forum unifies the Common Component Architecture tools and tutorial. It includes the CCA specifications, the Ccaffeine framework for HPC, and related tools. These support multilanguage scientific and parallel computing.