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+ - Just what is 'Big Data'?

Submitted by rockmuelle
rockmuelle (575982) writes "I work in a 'Big Data' space (genome sequencing) and routinely operate on tera-scale data sets in a high-performance computing environment (high-memory (64-200GB) nodes, 10 GigE/IB networks, peta-scale high-performance stroage systems). However, the more people I chat with professionaly on the topic, the more I realize everyone has a different definition of what consitutites big data and what the best solutions for working with large data are. If you term yourself a 'big data' user, what do you consider 'big data'? Do you measure data in mega, giga, tera, peta-bytes? What is a typical data set you work with? What are the main algorithms you use for analysis? What turn-around times are typical for analyses? What infrastructure software do you use? What system achitectures work best for your problem (and which have you tried that don't work well?)?"
Programming

+ - CorePy - Assembly Programming with Python->

Submitted by
rockmuelle
rockmuelle writes "We are pleased to announce the latest release of CorePy, now with full support for x86 processors (32 and 64-bit) and an Open Source license. CorePy is a Python package for developing assembly-level applications on x86, Cell BE and PowerPC processors. Its simple APIs enable the creation of complex, high-performance applications that take advantage of advanced processor features usually inaccessible from high-level scripting languages, including multiple cores and vector instruction sets (SSE, VMX, SPU). Based on an advanced run-time system, CorePy lets developers build and execute assembly-level programs interactively from the Python command prompt or embed them directly in Python applications. CorePy is available under a standard BSD license."
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