The director of Stanford University's Pande Lab discusses how his work with large-scale, distributed simulation is being used to study protein folding and its connection to disease.
By Cristina Pop, July 2015
An introduction to designing algorithms for the MapReduce framework for parallel processing of big data.
By Jeffrey D. Ullman, September 2012
On algorithms for parallel machine learning, and why they need to be more efficient.
By John Langford, September 2012
By Edward Z. Yang, Robert J. Simmons, September 2012
In this roundtable, three professors of parallel programming share their perspective on teaching and learning the computing technique.
By John Mellor-Crummey, William Gropp, Maurice Herlihy, September 2010
By Cory Quammen, October 2005
By Forrest Hoffman, William Hargrove, September 1999
