We introduce d2o, a Python module for cluster-distributed multi-dimensional numerical arrays. It acts as a layer of abstraction between the algorithm code and the data-distribution logic. The main goal is to achieve usability without losing numerical per
We introduce d2o, a Python module for cluster-distributed multi-dimensional numerical arrays. It acts as a layer of abstraction between the algorithm code and the data-distribution logic. The main goal is to achieve usability without losing numerical per
Most modern single-cell methods generate data on hundreds to thousands of cells in parallel to enable proper characterization of heterogeneous or dynamic cellular systems. Two general strategies have been developed to generate data at this scale. First, cells can be isolated into individual reaction v...
Displays of waveforms and images can be manipulated by adding cursors and doing cursor math or waveform shape matching. Users may also integrate their own code to perform even more sophisticated or device-specific processing, either by building a C++ module plug-in for AMI, or writing Python ...
(PVM), and the Placement Group (July 2010) that tries to put instances in close (physical) proximity to reduce network lag. We do not know, however, whether the NCSA cluster has also been improved during this time, so cannot comment on possible convergence or divergence of results. However...