Speculative Multi-Threading (SpMT) can improve single-threaded application performance using the multiple thread contexts available in current processors. We propose a minimal SpM...
Srikanth T. Srinivasan, Haitham Akkary, Tom Holman...
We introduce a novel Bayesian framework for hybrid community discovery in graphs. Our framework, HCDF (short for Hybrid Community Discovery Framework), can effectively incorporate...
Keith Henderson, Tina Eliassi-Rad, Spiros Papadimi...
Although adaptive processors can exploit application variability to improve performance or save energy, effectively managing their adaptivity is challenging. To address this probl...
When an oversampled FIR filter bank structure is used for signal analysis, a main problem is to guarantee its invertibility and to be able to determine an inverse synthesis filt...
Categories in multi-class data are often part of an underlying semantic taxonomy. Recent work in object classification has found interesting ways to use this taxonomy structure t...