Graph theoretic problems are representative of fundamental kernels in traditional and emerging scientific applications, such as complex network analysis, data mining, and computational biology, as well as applications in national security. Graph abstractions are also extensively used to understand...
To Be Published January 26th 2016 by Chapman and Hall/CRC
The hybrid/heterogeneous nature of future microprocessors and large high-performance computing systems will result in a reliance on two major types of components: multicore/manycore central processing units and special purpose hardware/massively parallel accelerators. While these technologies have...
Published December 7th 2010 by CRC Press
Algorithms and Applications
Although the highly anticipated petascale computers of the near future will perform at an order of magnitude faster than today’s quickest supercomputer, the scaling up of algorithms and applications for this class of computers remains a tough challenge. From scalable algorithm design for massive...
Published December 22nd 2007 by Chapman and Hall/CRC